Publications

Publications

Publications from 2025

  • Bieck R, Sorge M, Heuermann K, Kunz V, Pirlich M, Neumuth T. Using deep vision-language models improves multi-task performance in assistance applications for endoscopic ENT surgery. Int J Comput Assist Radiol Surg. 2025 Dec 22;
  • Rüb M, Herbst J, Rother B, Kummer F, Golatowski F, Eid A, et al. Interoperability and AI-Driven Enhancements of BLE-Based Localization in Upcoming 6G Subnetworks. In: 2025 8th International Conference on Information and Communications Technology (ICOIACT) [Internet]. Yogyakarta, Indonesia: IEEE; 2025 [cited 2026 Jan 27]. p. 316–21. Available from: https://ieeexplore.ieee.org/document/11344982/
  • Möllenhoff C. „Alexa, hilf mir beim Notfalleinsatz!“: Europäische Befragungsergebnisse zur Nutzung KI-gestützter Sprachassistenten im Notarzt- und Rettungsdienst. DIVI Mitgliederzeitschrift der Deutschen Interdisziplinären Vereinigung für Intensiv- und Notfallmedizin (DIVI) [Internet]. 2025 Nov 26 [cited 2026 Jan 30];16(5):291–291. Available from: https://doi.org/10.53180/DIVI.2025.0291-0291
  • Wach J, Weber F, Wende T, Vychopen M, Barrantes-Freer A, Pfahl A, et al. GLIMMER: an interim subgroup analysis from an ongoing prospective study evaluating hyperspectral imaging for MGMT promoter methylation in gliomas. J Neurooncol. 2025 Nov 17;176(1):86.
  • Grieb N, Wiemers T, Born P, Fandrei D, Fischer L, Ferle M, et al. Impact of renal impairment and lymphodepletion regimen on outcomes after CAR T-cell therapy in relapsed/refractory multiple myeloma. Blood [Internet]. 2025 Nov 3 [cited 2026 Jan 29];146(Supplement 1):5853–5853. Available from: https://ashpublications.org/blood/article/146/Supplement%201/5853/549371/Impact-of-renal-impairment-and-lymphodepletion
  • Trifone CT, Maktabi M, Bischoff P, Schierle K, Niebisch S, Moulla Y, et al. Artificial neural networks as a prognostic tool using hyperspectral imaging on pretherapeutic histopathological specimens of esophageal adenocarcinoma. J Cancer Res Clin Oncol. 2025 Oct 4;151(10):274.
  • Tkachenko M, Huber B, Hamotskyi S, Jansen-Winkeln B, Gockel I, Neumuth T, et al. Exploring the role of preprocessing combinations in hyperspectral imaging for deep learning colorectal cancer detection. Sci Rep. 2025 Sept 23;15(1):32685.
  • Maktabi M, Hain C, Köhler H, Huber B, Thieme R, Schierle K, et al. Classification of esophageal cancer by using hyperspectral data. Int J Comput Assist Radiol Surg. 2025 Sept 23;
  • Berrouschot V, Sonntag M, Reimann K, Jäger C, Martin S, Holzer M, et al. Neurons ensheathed by perineuronal nets are prone to hyperphosphorylation of tau protein in the hibernating Syrian hamster brain. Sci Rep. 2025 Sept 1;15(1):32253.
  • Künzel M, Kohler L, Köhler H, Schulz T, Nuwayhid R, Osterhoff G. Impact of umbilical fixation on perfusion in abdominoplasty: A hyperspectral imaging study. JPRAS Open. 2025 Sept;45:337–44.
  • Köhler H, Ilgen A, Pfahl A, Stelzner S, Mehdorn M, Jansen-Winkeln B, et al. Laparoscopic hyperspectral imaging for in vivo detection of the vagal nerve in upper gastrointestinal surgery. Surg Endosc. 2025 Aug 11;
  • Weber F, Pfahl A, Köhler H, Vychopen M, Güresir E, Wach J. Hyperspectral imaging and FLAIR signal intensity: a step toward improved detection of nonenhancing glioma tissue. Neurosurg Focus. 2025 Aug 1;59(2):E5.
  • Weirauch U, Kreuz M, Birkenbihl C, Alb M, Quaranta M, Calzone L, et al. Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies. NPJ Digit Med. 2025 Aug 1;8(1):493.
  • von Braun MS, Pfahl A, Melzer A, Chalopin C, Köhler H. Image stitching for real-time laparoscopic hyperspectral imaging. Sci Rep. 2025 July 31;15(1):28010.
  • Vučinić V, Tumewu T, Brückner M, Kirchberg J, Jentzsch M, Buhmann R, et al. Impact of cellular composition and T-cell senescence of mononuclear cell concentrates on the manufacturing process of chimeric antigen receptor (CAR) T-cells. Transfusion. 2025 July 29;
  • Tretbar SH, Fournelle M, Risser C, Hewener H, Degel C, Bost W, et al. A New Versatile System for 3D Steered LIFU Based on 2D Matrix Arrays. Brain Connect. 2025 July 28;
  • Wiemers T, Ferle M, Ader J, Sotikova V, Fandrei D, Grieb N, et al. Prognostic Implications of Splenomegaly in BCMA-Directed CAR T-Cell Therapy for Relapsed Myeloma. Transplant Cell Ther. 2025 July 16;S2666-6367(25)01289-8.
  • Möllenhoff C, Agarwal B, Herbst J, Rüb M, Petzold T, Pabst T, et al. Towards 6G-Connected Healthcare: Perspectives, Risks and Real-World Applications for Smart Hospitals. In: 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) [Internet]. Copenhagen, Denmark: IEEE; 2025 [cited 2026 Jan 30]. p. 1–7. Available from: https://ieeexplore.ieee.org/document/11253874/
  • Blattmann M, Lindenmeyer A, Franke S, Neumuth T, Schneider D. Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. PLOS Digit Health. 2025 July;4(7):e0000801.
  • Mollenhoff C, Agarwal B, Herbst J, Rub M, Petzold T, Pabst T, et al. Towards 6G-Connected Healthcare: Perspectives, Risks and Real-World Applications for Smart Hospitals. Annu Int Conf IEEE Eng Med Biol Soc. 2025 July;2025:1–7.
  • Reiche K, Weirauch U, Kreuz M, Fischer L, Gras L, Neumuth T, et al. Virtual twins for personalised CAR T-cell therapy in myeloma. Lancet Haematol. 2025 July;12(7):e490–1.
  • Pfahl A, Köhler H, Melzer A. Optimal Wavelength Selection for Laparoscopic Multispectral Imaging to Visualize Tissue Oxygenation. In: European Conferences on Biomedical Optics 2025 (2025), paper Tu2A9 [Internet]. Optica Publishing Group; 2025 [cited 2025 Sept 22]. p. Tu2A.9. Available from: https://opg.optica.org/abstract.cfm?uri=ECBO-2025-Tu2A.9
  • Ferle M, Grieb N, Kreuz M, Ader J, Goldschmidt H, Mai EK, et al. Publisher Correction: Predicting progression events in multiple myeloma from routine blood work. NPJ Digit Med. 2025 May 28;8(1):316.
  • Maktabi M, Huber B, Pfeiffer T, Schulz T. Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning. Sci Rep. 2025 May 5;15(1):15637.
  • Winther B, Branzan D, Etz CD, Geisler AA, Steiner S, Winther H, et al. Evaluation of Spinal Cord Blood Supply with Hyperspectral Imaging of the Paraspinous Musculature During Staged Endovascular Repair of Thoracoabdominal Aortic Aneurysm: A Sub-Study of the Prospective Multicenter PAPA-ARTiS Trial. J Clin Med. 2025 May 5;14(9):3188.
  • Ferle M, Grieb N, Kreuz M, Ader J, Goldschmidt H, Mai EK, et al. Predicting progression events in multiple myeloma from routine blood work. NPJ Digit Med. 2025 Apr 30;8(1):231.
  • Lindenmeyer A, Veeranki S, Franke S, Neumuth T, Kramer D, Schneider D. Knowledge Uncertainty Estimation for Reliable Clinical Decision Support: A Delirium Risk Prognosis Case Study. Stud Health Technol Inform. 2025 Apr 24;324:221–7.
  • Pfahl A. Hyperspektrale und multispektrale endoskopische Bildgebung - State of the Art. Vortrag presented at; 2025 Mar 20.
  • Pfahl A. Präklinische nicht-invasive Perfusionsmessung an der Zunge mittels videofähiger multispektraler Bildgebung. Vortrag presented at; 2025 Mar 20.
  • Grieb N, Oeser A, Ferle M, Hanke F, Flossdorf S, Sauer S, et al. Single versus tandem autologous stem cell transplantation in newly diagnosed multiple myeloma. Bone Marrow Transplant. 2025 Mar;60(3):335–45.
  • Michalski D, Classen J, Geisler D, Urban D, Schreiber M, Tylcz JB, et al. First experience in employing a complex digital support system accompanied by personal assistance to improve aftercare in patients with stroke or transient ischemic attack - results of the PostStroke-Manager feasibility study. Sci Rep. 2025 Feb 17;15(1):5804.
  • Schatz A, Osterhoff G, Georgi C, Joeres F, Neumuth T, Rockstroh M. Improving preparation in the emergency trauma room: the development and impact of real-time data transfer and dashboard visualization system. Int J Comput Assist Radiol Surg. 2025 Feb;20(2):301–10.
  • Lindenmeyer A, Blattmann M, Franke S, Neumuth T, Schneider D. Towards Trustworthy AI in Healthcare: Epistemic Uncertainty Estimation for Clinical Decision Support. J Pers Med. 2025 Jan 31;15(2):58.
  • Abdulbaki Alshirbaji T, Jalal NA, Arabian H, Battistel A, Docherty PD, ElMoaqet H, et al. Cholec80-Boxes: Bounding Box Labelling Data for Surgical Tools in Cholecystectomy Images. Data [Internet]. 2025 Jan 8 [cited 2026 Jan 16];10(1):7. Available from: https://www.mdpi.com/2306-5729/10/1/7
  • Weber F, Pfahl A, Köhler H, Güresir E, Wach J. Depictability of non-enhancing FLAIR abnormal regions in gliomas using intraoperative in-vivo Hyperspectral Imaging – Interim results from a prospective feasibility study. In: Brain and Spine [Internet]. 2025 [cited 2025 Oct 15]. p. 105245. (Abstracts of the EANS2025; vol. 5). Available from: https://www.sciencedirect.com/science/article/pii/S2772529425010641
  • Weber F, Pfahl A, Köhler H, Güresir E, Wach J. Intraoperative visualization of glioblastomas using in-vivo Hyperspectral Imaging for tissue classification – Interim results from a prospective feasibility study. In: Brain and Spine [Internet]. 2025 [cited 2025 Oct 15]. p. 105371. (Abstracts of the EANS2025; vol. 5). Available from: https://www.sciencedirect.com/science/article/pii/S2772529425011907
  • Weber F, Pfahl A, Köhler H, Güresir E, Wach J. Intraoperative visualization of meningiomas using in-vivo Hyperspectral Imaging for tissue classification – Interim results from a prospective feasibility study. In: Brain and Spine [Internet]. 2025 [cited 2025 Oct 15]. p. 105247. (Abstracts of the EANS2025; vol. 5). Available from: https://www.sciencedirect.com/science/article/pii/S2772529425010665
  • Manfredi L, Sánchez-Margallo JA, Wurdemann HA, Melzer A. Editorial: Smart endorobots for endoluminal procedures: design, ethics and future trends. Front Robot AI. 2025;12:1581829.

Publications from 2024

  • Eid A. Development and Evaluation of a Low-Cost BLE Indoor Tracking System for Hospitals [Masterarbeit]. Hochschule Anhalt; 2024.
  • Köhler H, Hartmann J, Pfahl A, Mehdorn M, Lingscheidt T, Moulla Y, et al. Erkennung von Peritonealläsionen mittels laparoskopischer in-vivo Hyperspektralbildgebung. In Leipzig; 2024.
  • Unger M, Hänel A, Halama D. Entwicklung eines AR-basiertes thermographischen Bildgebungssys-tems für die Planung in der rekonstruktiven Chirurgie. In Leipzig; 2024.
  • Pfahl A, Köhler H, Gockel I, Melzer A. Preclinical perfusion assessment with laparoscopic multispectral imaging - from palm to tongue measurements. In Leipzig; 2024.
  • Weber F, Güresir E, Pfahl A, Köhler H, Melzer A, Wach J. Intraoperative visualisation of perfusion in cerebral arteriovenous malformations via hyperspectral imaging (HSI). In Leipzig; 2024.
  • Grieb N. Single Vs. Tandem Autologous Stem Cell Transplantation in Newly Diagnosed Multiple Myeloma: A Real-World Multi-Center Study from the German Registry for Hematopoietic Stem Cell Transplantation and Cell Therapy (DRST). In ASH; 2024 [cited 2024 Nov 13]. Available from: https://ash.confex.com/ash/2024/webprogram/Paper198638.html
  • Grieb N, Oeser A, Ferle M, Hanke F, Flossdorf S, Sauer S, et al. Single versus tandem autologous stem cell transplantation in newly diagnosed multiple myeloma. Bone Marrow Transplant. 2024 Dec 5;
  • Möllenhoff C. Anforderungs- und Bedarfsanalyse für ein KI-gestütztes Sprachassistenzsystem in der präklinischen Notfallversorgung [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • El Moaqet H, Janini R, Abdulbaki Alshirbaji T, Aldeen Jalal N, Möller K. Using Vision Transformers for Classifying Surgical Tools in Computer Aided Surgeries. Current Directions in Biomedical Engineering [Internet]. 2024 Dec 1 [cited 2025 Feb 7];10(4):232–5. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-2056/html
  • Stäger S. Synthetic Data Generation with Variational Autoencoders and Normalizing Flows [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Alzaidi A, Schneider D, Kikkinides ES, Valiullin R. The spectrum of experimentally accessible states for melting and freezing transitions in mesoporous materials. J Chem Phys. 2024 Nov 21;161(19):194703.
  • Eger, Andreas, Handel, Till, Schülert, Leon, Melzer A. Investigation of cranial induced aberrations on a 500 kHz FUS transducer. In Cáceres, Spain; 2024.
  • Wach J, Weber F, Pfahl A, Köhler H, Melzer A, Güresir E. Intraoperative visualization of gliomas via hyperspectral imaging (HSI) – interim report from a prospective feasibility study. In Würzburg; 2024.
  • Weber F, Güresir E, Pfahl A, Köhler H, Melzer A, Wach J. Intraoperative visualization of meningiomas via hyperspectral imaging (HSI) – interim report from a prospective feasibility study. In Würzburg; 2024.
  • Wach J, Weber F, Pfahl A, Köhler H, Melzer A, Güresir E. Intraoperative visualisation of perfusion in cerebral arteriovenous malformations via hyperspectral imaging (HSI). In Würzburg; 2024.
  • Simon M, Pfahl A, Mittank-Weidner T, Seitz AT, Simon JC, Grunewald S, et al. Innovative bildgebende Verfahren in der Dermatochirurgie – Untersuchung klinischer Einsatzmöglichkeiten hyperspektraler Bildgebung zur Diagnostik von Hauttumoren. In Tübingen; 2024.
  • Matyash I, Graf RLY, Bohn S, Neumuth T, Rockstroh M. Prototype development of a multi-user augmented reality framework for collaborative medical visualization in shared environments. Current Directions in Biomedical Engineering [Internet]. 2024 Sept 1 [cited 2025 Feb 7];10(1):49–52. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-0113/html
  • Fuchs R, Unger M, Wolfgang Reske A, Neumuth T. Landmark registration in CT for lung model approximation in EIT. Current Directions in Biomedical Engineering [Internet]. 2024 Sept 1 [cited 2025 Feb 7];10(1):21–4. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-0106/html
  • Stelzner T, Baur D, Neumann J, Berger J, Völker A, Heyde CE, et al. Recognition of the lumbar spine using MRI plane-based FiLM conditioning and patient dependent batching on semantic segmentation. Current Directions in Biomedical Engineering [Internet]. 2024 Sept 1 [cited 2025 Jan 13];10(1):81–4. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-0121/html
  • Fuchs R, Unger M, Reske AW, Neumuth T. Landmark registration in CT for lung model approximation in EIT. In: Current Directions in Biomedical Engineering [Internet]. De Gruyter; 2024 [cited 2024 Nov 18]. p. 21–4. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-0106/html
  • Rade M, Grieb N, Weiss R, Sia J, Fischer L, Born P, et al. Single-cell multiomic dissection of response and resistance to chimeric antigen receptor T cells against BCMA in relapsed multiple myeloma. Nat Cancer. 2024 Sept;5(9):1318–33.
  • Ilgen A, Köhler H, Pfahl A, Stelzner S, Mehdorn M, Jansen-Winkeln B, et al. Intraoperative laparoscopic hyperspectral imaging during esophagectomy – a pilot study evaluating esophagogastric perfusion at the anastomotic sites. In: Zeitschrift für Gastroenterologie [Internet]. Georg Thieme Verlag KG; 2024 [cited 2024 Oct 18]. p. KV 427. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1790090
  • Hartmann J, Köhler H, Mehdorn M, Lingscheidt T, Moulla Y, Niebisch S, et al. Laparoscopic Hyperspectral Imaging (HSI) of peritoneal lesions. In: Zeitschrift für Gastroenterologie [Internet]. Georg Thieme Verlag KG; 2024 [cited 2024 Oct 18]. p. KV 428. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1790091
  • Gänzle M, Keller J, Schneider D, Engel C, Fuchs M. Kann künstliche Intelligenz bei der Unterscheidung zwischen physiologischen und pathologischen Stimmklängen unterstützen? In German Medical Science GMS Publishing House; 2024. p. DocV18.
  • Möllenhoff C, Rockstroh M. Towards 6G in Healthcare - A Holistic Approach. In Berlin; 2024.
  • König L. Softwarebasierte Optimierung der Methode “Abruf aus dem Frei” beim Ausfallmanagement im Krankenhaus [Masterarbeit]. [Leipzig]: HTWK Leipzig; 2024.
  • Schneider D, Blattmann M, Lindenmeyer A, Neumuth T. Unfeasibility of common single function deep learning methods for clinical decision support in the human-machine collaborative setting. In Barcelona; 2024.
  • Lindenmeyer A, Schneider D, Neumuth T. Spectral Normalized Neural Gaussian Process as viable candidate for trustworthy AI in clinical decision support systems. In Barcelona; 2024.
  • Scholtz A, Harms HB, Neumuth T. International Emergency Responses: Harmonizing Data Security and Protection Standards for Emergency Medical Teams. Emergency Care and Medicine [Internet]. 2024 June 19 [cited 2025 Feb 7];1(2):193–8. Available from: https://www.mdpi.com/2813-7914/1/2/20
  • Unger M, Hänel A, Chalopin C, Halama D. Design and evaluation of an AR-based thermal imaging system for planning reconstructive surgeries. In: CARS 2024—Computer Assisted Radiology and Surgery Proceedings of the 38th International Congress and Exhibition Barcelona, Spain, June 18–21, 2024 [Internet]. Barcelona; 2024 [cited 2024 May 27]. Available from: https://link.springer.com/10.1007/s11548-024-03184-1
  • Ruppel F. Simulationsumgebung für die Verarbeitung medizinischer Daten unter Verwendung des IEEE 11073 SDC-Standards [Bachelorarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Vanjakumar G. Einsatz Künstlicher Neuronaler Netze zur Untersuchung hyperspektral aufgenommener histologischer Schnitte mit Magenkarzinom [Masterarbeit]. Hochschule Anhalt; 2024.
  • Köhler H, Hartmann J, Pfahl A, Mehdorn M, Lingscheidt T, Moulla Y, et al. Classification of peritoneal lesions and detection of peritoneal metastasis using in vivo laparoscopic hyperspectral imaging. In: International Journal of Computer Assisted Radiology and Surgery [Internet]. 2024 [cited 2024 Aug 21]. p. S18–20. Available from: https://doi.org/10.1007/s11548-024-03128-9
  • Cooney GS, Köhler H, Chalopin C, Babian C. Discrimination of human and animal bloodstains using hyperspectral imaging. Forensic Sci Med Pathol. 2024 June;20(2):490–9.
  • Rockstroh M, Irmer R, Lipps C, Dommel J, Schatz A, Pabst T, et al. Towards a better healthcare: 6G as enabling technology. In: Proceedings of the 38th International Congress and Exhibition Barcelona, Spain, June 18–21, 2024 [Internet]. Barcelona, Spain; 2024 [cited 2024 Oct 28]. p. S51. Available from: https://link.springer.com/10.1007/s11548-024-03128-9
  • Richter M. Module for emergency and mass casualty patient record synthetization [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Vi T. Wellenlängenselektion für die multispektrale Bildgebung zur Darstellung der Sauerstoffsättigung und des Hämoglobingehalts von Gewebe auf Basis simulierter Gewebedaten [Masterarbeit]. Universität Villingen-Schwemmingen; 2024.
  • Baberowsky H. 5G-COMPASS: LiFi for Medical Applications. In 6G-Conference Berlin; 2024.
  • Rudolph M. Klassifikation von pathologischen Schnitten basierend auf hyperspektralen Aufnahmen [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Therre S, Fournelle M, Tretbar S. Optimization of 3D Passive Acoustic Mapping Image Metrics: Impact of Sensor Geometry and Beamforming Approach. Sensors (Basel). 2024 Mar 14;24(6):1868.
  • Bischoff P. Prognoseunterstützung bei spektral aufgenommenen histopathologischen Schnitten des Barrett-Karzinoms mittels Künstlicher neuronaler Netze [Bachelorarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Focking J. Entwicklung eines Designs und dessen Umsetzung einer 3D-gedruckten, künstlichen Handmit funktionellen Greif- und Haltemechanismen anhand des Grundprinzips der Soft Robotic [Masterarbeit]. [Leipzig]: HTWK Leipzig; 2024.
  • Dieckmann L. Segmentierung von hyperspektralen Daten zur Unterscheidung von Gewebestrukturen [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Georgi C. Konzeption und Entwicklung einer generischen Mensch-Maschine-Schnittstelle für Medizingeräte auf Basis der IEEE 11073 SDC-Standardfamilie [Masterarbeit]. [Leipzig]: Universität Leipzig; 2024.
  • Ilgen A, Köhler H, Pfahl A, Stelzner S, Mehdorn M, Jansen-Winkeln B, et al. Intraoperative Laparoscopic Hyperspectral Imaging during Esophagectomy-A Pilot Study Evaluating Esophagogastric Perfusion at the Anastomotic Sites. Bioengineering (Basel). 2024 Jan 9;11(1):69.
  • Matyash I, Prull A, Graf R, Bohn S, Neumuth T, Rockstroh M. Prototype development of a multi-user augmented reality framework for collaborative medical visualization in shared environments. In Leipzig; 2024. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2024-0113/html
  • Schneider D, Lindenmeyer A. Reliable uncertainty quantification for human computer collaborative decision making. In Leipzig; 2024.
  • Lindenmeyer A, Schneider D. Utility of knowledge uncertainty estimation in human-computer collaborative decision-making. In ICCAS; 2024.
  • Schreiber E, Neumann J, Stelzner T, Völker A, Wiersbicki, D, Förstl S, et al. A multi-data and sensor fusion infrastructure for the evaluation of patient-specific treatment of osteoporotic vertebral fractures. In Barcelona; 2024.
  • Wach J, Weber F, Vychopen M, Arlt F, Pfahl A, Köhler H, et al. Surgical Hyperspectral imaging and Indocyanine green Near-infrared Examination (SHINE) for brain arteriovenous malformation resection: a case report on how to visualize perfusion. Front Surg. 2024;11:1477920.

Publications from 2023

  • Pfahl A, Polat ST, Köhler H, Gockel I, Melzer A, Chalopin C. Switchable LED-based laparoscopic multispectral system for rapid high-resolution perfusion imaging. J Biomed Opt. 2023 Dec;28(12):126002.
  • Schmidt R, Geisler D, Urban D, Pries R, Franzisket C, Voigt C, et al. Stroke survivors’ preferences on assessing patient-reported outcome measures. J Patient Rep Outcomes. 2023 Nov 30;7(1):124.
  • Schenk M, Neumann J, Adler N, Trommer T, Theopold J, Neumuth T, et al. A comparison between a maximum care university hospital and an outpatient clinic - potential for optimization in arthroscopic workflows? BMC Health Serv Res. 2023 Nov 28;23(1):1313.
  • Keenlyside A, Marples T, Gao Z, Hu H, Nicely LG, Nogales J, et al. Development and optimisation of in vitro sonodynamic therapy for glioblastoma. Sci Rep. 2023 Nov 18;13(1):20215.
  • Bost W, Hewener H, Schmitt D, Fournelle M, Becker FJ, Tretbar S. Real-time transcranial phase aberration correction using a ray tracing method. In: 2023 IEEE International Ultrasonics Symposium (IUS) [Internet]. Montreal, QC, Canada: IEEE; 2023 [cited 2023 Dec 15]. p. 1–4. Available from: https://ieeexplore.ieee.org/document/10306411/
  • Kasparick M, Klotz T, Thürk G, Andersen B, Rother B, Golatowski F, et al. Silent ICU based on IEEE 11073 SDC. Current Directions in Biomedical Engineering [Internet]. 2023 Sept 1 [cited 2024 Jan 10];9(1):303–6. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1076/html
  • Laufer B, Krueger-Ziolek S, Aldeen Jalal N, Docherty PD, Hoeflinger F, Reindl L, et al. Symmetry of Respiration Induced Upper Body Movements. Current Directions in Biomedical Engineering [Internet]. 2023 Sept 1 [cited 2023 Dec 15];9(1):479–82. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1120/html
  • Abdulbaki Alshirbaji T, Aldeen Jalal N, Docherty PD, Neumuth T, Moeller K. A comparative evaluation of spatial pooling methods for surgical tool detection. Current Directions in Biomedical Engineering [Internet]. 2023 Sept 1 [cited 2023 Dec 15];9(1):214–7. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1054/html
  • Aldeen Jalal N, Abdulbaki Alshirbaji T, Laufer B, Docherty PD, Neumuth T, Moeller K. Computer-assisted generation of anaesthesia report during laparoscopic procedures. Current Directions in Biomedical Engineering [Internet]. 2023 Sept 1 [cited 2023 Dec 15];9(1):463–6. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1116/html
  • Laufer B, Docherty PD, Murray R, Krueger-Ziolek S, Jalal NA, Hoeflinger F, et al. Sensor Selection for Tidal Volume Determination via Linear Regression-Impact of Lasso versus Ridge Regression. Sensors (Basel). 2023 Aug 25;23(17):7407.
  • Fischer L, Grieb N, Platzbecker U, Vucinic V, Merz M. CAR T cell therapy in multiple myeloma, where are we now and where are we heading for? Eur J Haematol. 2023 Aug 7;
  • Gulamhussene G, Rak M, Bashkanov O, Joeres F, Omari J, Pech M, et al. Transfer-learning is a key ingredient to fast deep learning-based 4D liver MRI reconstruction. Sci Rep [Internet]. 2023 July 11 [cited 2023 Dec 15];13(1):11227. Available from: https://www.nature.com/articles/s41598-023-38073-1
  • Landeck T, Schwarz H, Hammermüller S, Noreikat K, Reske S, Gottschaldt U, et al. High positive end-expiratory pressure ventilation mitigates the progression from unilateral pulmonary contusion to ARDS. An animal study. J Trauma Acute Care Surg. 2023 June 19;
  • Gil-Rios MA, Chalopin C, Cruz-Aceves I, Lopez-Hernandez JM, Hernandez-Gonzalez MA, Solorio-Meza SE. Automatic Classification of Coronary Stenosis Using Feature Selection and a Hybrid Evolutionary Algorithm. Axioms [Internet]. 2023 May 10 [cited 2023 Dec 15];12(5):462. Available from: https://www.mdpi.com/2075-1680/12/5/462
  • Alshirbaji TA, Jalal NA, Neumuth T, Möller K. Fusing CNN features to improve generalisability for surgical tool classification. Proceedings on Automation in Medical Engineering. 2023 Mar 29;2(1):757–757.
  • Thomaßen MT, Köhler H, Pfahl A, Stelzner S, Mehdorn M, Thieme R, et al. In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS). Surg Endosc. 2023 Jan 16;
  • Chalopin C, Pfahl A, Köhler H, Knospe L, Maktabi M, Unger M, et al. Alternative intraoperative optical imaging modalities for fluorescence angiography in gastrointestinal surgery: spectral imaging and imaging photoplethysmography. Minim Invasive Ther Allied Technol. 2023 Jan 9;1–11.
  • Gholami Bajestani D, Reich C, Melzer A. Development of in vitro phantoms for MRI-guided minimally invasive interventions. In Lukang; 2023.
  • Reich C, Gholami Bajestani D, Mulik C, Schaefers G, Hammersen V, Schauer S. Neue Techniken der MRT-geführten Intervention. In Köln; 2023.
  • Reich C, Gholami Bajestani D, Schaefers G, Hammersen V, Schauer S, Schmid M. MRI-guided vascular interventions: we’re getting there! In Frankfurt; 2023.
  • Reich C, Gholami Bajestani D, Schmid M, Schauer S, Hegel A, Höger K. Nitinol catheterization cannula for MRI-guided vascular interventions. In Duisburg; 2023.
  • Baberowsky H, Pabst T, Neumuth T, Rockstroh M. Concept for Video Transmission in Non-reliable Medical networks. In Rhein-Ruhr; 2023.
  • Eger A, Handel T, Li H, Hewener H, Tretbar S, Schmitz J, et al. Introducing a Navigated Platform-Independent 3MP-FUS System for the Stimulation of Deep Brain Regions. In Lukang; 2023.
  • Handel T, Eger A, Li H, Hewener H, Tretbar S, Schmitz J, et al. Towards a multi-platform flexible neuronavigated MRgFUS Neuromodulation system - 3MP-FUS system. In Rhein-Ruhr; 2023.
  • Landgraf L, Zhang X, Greiser S, Roy U, Lange F, van Gorkum R, et al. Non-invasive MRI-guided focused ultrasound and radiation therapy - experimental rodent study. In Rome; 2023.
  • Landgraf L, Zhang X, Greiser S, Roy U, Lange F, van Gorkum R, et al. Evaluation of a small animal MRI-guided focused ultrasound system in 7 T MRI and proof-of-concept rodent study. In Lyon; 2023.
  • Landgraf L, Kozlowski A, Zhang X, Fournelle M, Becker F, Tretbar S, et al. Focused Ultrasound Treatment in an in vitro 3D Tumour Model with a Developed FUS Well Applicator. In Lyon; 2023.
  • Weßbecher L, Berger J, Neumann J, Lente K, Krüger T. A practical example of an integrated interoperable neuromonitoring system based on IEEE 11073 SDC and HL7. In Rhein-Ruhr; 2023.
  • Stelzner T, Baur D, Neumann J, Berger J, Völker A, Heyde C. Identification of the lumbar spine using MRI plane-based FiLM normalization and patient batching on semantic segmentation. In Rhein-Ruhr; 2023.
  • Schenk M, Neumann J, Adler N, Trommer T, Theopold JD, Neumuth T, et al. Prozessanalytik und -optimierung in der arthroskopischen Gelenkchirurgie am Beispiel eines Vergleiches zwischen einem Maximalversorgungskrankenhaus und einer ambulanten Klinik. In Berlin, Germany; 2023.
  • Vogel C, Neumann J, Kießling L, Hempel G, Neumuth T, Kleber C, et al. In-vitro-Evaluation eines computergestützten Entscheidungshilfesystems für die Erstversorgung von Polytraumapatienten. In Berlin, Germany; 2023.
  • Borisova E, Abu Ahmad R, Rehm G, Usbeck R, D’Souza J, Stocker M, et al. NFDI4DS Transfer and Application. In Bonn; 2023 [cited 2024 Jan 12]. Available from: https://dl.gi.de/handle/20.500.12116/43024
  • Schimmler S, Wentzel B, Bleier A, Dietze S, Karmakar S, Mutschke P, et al. NFDI4DS Infrastructure and Services. In Bonn; 2023 [cited 2024 Jan 12]. Available from: https://dl.gi.de/handle/20.500.12116/43023
  • Grieb N, Schmierer L, Kim HU, Strobel S, Schulz C, Meschke T, et al. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Front Digit Health. 2023;5:1324453.
  • Lindenmeyer A. Requirements for AI adoption in clinical practice. In 2023.
  • Keller J. Medical data standards and semantic data models. In 2023.
  • Keller J. The NFDI4DS research data infrastructure for data science and AI. In 2023.
  • Franke S, Schneider D. Joint Focus Session DGBMT-DFG Nationale Forschungsdaten Infrastruktur NFDI. In 2023.
  • Katalinic M, Schenk M, Franke S, Neumuth T, Stoehr M, Gaebel J. Creation of realistic synthetic cancer registry data with Synthea. In Granada, Spain; 2023.
  • Stöhr M, Hikal A, Gaebel J, Dietz A. Development of a digital patient model to support treatment decisions in head and neck cancer. In Congress Center Leipzig; 2023 [cited 2024 Jan 8]. p. s-0043-1767100. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1767100
  • Schott D, Moritz J, Hansen C, Joeres F. The UUXR-Framework: A Draft Classification for Using Extended Reality in Usability and User Experience Research. In Sydney; 2023. p. 460–5.
  • Mielke T, Joeres F, Schott D, Hansen C. Interactive Registration Methods for Augmented Reality in Robotics: A Comparative Evaluation. In Sydney; 2023. p. 501–6.
  • Laufer B, Jalal NA, Docherty PD, Busch C, Krueger-Ziolek S, Hoeflinger F, et al. Wearable Tidal Volume Determination via one Circumferential Measurement and three Strain Gauges – a Pilot Study. IFAC-PapersOnLine [Internet]. 2023 [cited 2023 Dec 15];56(2):7359–64. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2405896323007188
  • Wiegand S, Chalopin C, Wichmann G, Dietz A, Pirlich M, Maktabi M. Use of hyperspectral imaging in tumor surgery of the head and neck. In Congress Center Leipzig; 2023 [cited 2023 Dec 15]. p. s-0043-1767089. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1767089
  • Wiegand S, Chalopin C, Wichmann G, Dietz A, Pirlich M, Maktabi M. Einsatz der Hyperspektralbildgebung im Rahmen der Tumorchirurgie im Kopf-Hals-Bereich. In Congress Center Leipzig; 2023 [cited 2023 Dec 15]. p. s-0043-1766498. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1766498
  • Sorge M, Bieck R, Pirlich M, Dietz A, Kunz V, Wildfeuer V, et al. Bild- und Textbasierte semi-automatische Erzeugung von OP-Berichten von Nasennebenhöhlen-Operationen. In Congress Center Leipzig; 2023 [cited 2023 Dec 15]. p. s-0043-1766497. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1766497
  • Sorge M, Bieck R, Pirlich M, Dietz A, Kunz V, Wildfeuer V, et al. Image- and text-based semi-automatic generation of surgery reports in paranasal sinus surgery. In Congress Center Leipzig; 2023 [cited 2023 Dec 15]. p. s-0043-1767088. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1767088
  • Jalal NA, Alshirbaji TA, Docherty PD, Arabian H, Neumuth T, Moeller K. Surgical Tool Classification & Localisation Using Attention and Multi-feature Fusion Deep Learning Approach. IFAC-PapersOnLine [Internet]. 2023 [cited 2023 Dec 15];56(2):5626–31. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2405896323008406
  • Zia A, Bhattacharyya K, Liu X, Berniker M, Wang Z, Nespolo R, et al. Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. 2023 [cited 2023 Dec 15]; Available from: https://arxiv.org/abs/2305.07152
  • Wählisch M. Bestimmung und Evaluation ortsaufgelöster Pulsparameter aus RGB-Videodaten. Westsächsische Hochschule Zwickau; 2023.

Publications from 2022

  • Schreiber E, Gaebel J, de Hoop T, Neumuth T. The Emergency Medical Team Operating System: design, implementation, and evaluation of a field hospital information management system. JAMIA Open. 2022 Dec;5(4):ooac106.
  • Schmidt R, Geisler D, Urban D, Wagner M, Ivanova G, Neumuth T, et al. Topics Mentioned by Stroke Patients during Supportive Phone Calls-Implications for Individualized Aftercare Programs. Healthcare (Basel). 2022 Nov 29;10(12):2394.
  • Martinez-Vega B, Tkachenko M, Matkabi M, Ortega S, Fabelo H, Balea-Fernandez F, et al. Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. Sensors (Basel). 2022 Nov 18;22(22):8917.
  • Kunz V, Wildfeuer V, Bieck R, Sorge M, Zebralla V, Dietz A, et al. Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study. Int J Comput Assist Radiol Surg. 2022 Nov 17;
  • Neumann J, Uciteli A, Meschke T, Bieck R, Franke S, Herre H, et al. Ontology-based surgical workflow recognition and prediction. J Biomed Inform. 2022 Nov 8;136:104240.
  • Heuermann K, Bieck R, Dietz A, Fischer M, Hofer M, Neumuth T, et al. [BIOPASS hybrid navigation for endoscopic sinus surgery - an assistance system]. Laryngorhinootologie. 2022 Nov 3;
  • Alzaidi A, Kikkinides ES, Schneider D, Monson PA, Valiullin R. Free energy landscape within the hysteresis regime for fluids confined in disordered mesoporous solids. J Chem Phys [Internet]. 2022 Oct 21 [cited 2022 Oct 18];157(15):154701. Available from: https://aip.scitation.org/doi/10.1063/5.0107333
  • Reich CM. Towards MRI-guided cardiovascular interventions and focused ultrasound neuromodulation. 2022 Oct 15.
  • Gholami Bajestani D, Reich CM, Mulik C, Melzer A. Combined 3D printed and silicone moulded vascular phantoms to develop and train catheter-based MRI-guided interventions. 2022 Oct 15.
  • Schröder A, Maktabi M, Thieme R, Jansen-Winkeln B, Gockel I, Chalopin C. Evaluation of artificial neural networks for the detection of esophagus tumor cells in microscopic hyperspectral images. In: Proceedings 2022 25th Euromicro Conference on Digital System Design DSD 2022. Maspalomas, Spain: IEEE Computer Sciety; 2022. p. 827–34.
  • Schneider D, Hwang S, Haase J, Miersemann E, Kärger J. Quantitating Diffusion Enhancement in Pore Hierarchies. Langmuir [Internet]. 2022 Sept 27 [cited 2022 Oct 18];38(38):11565–72. Available from: https://doi.org/10.1021/acs.langmuir.2c01157
  • Schreiter J, Schott D, Schwenderling L, Hansen C, Heinrich F, Joeres F. AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future. J Imaging. 2022 Sept 21;8(10):255.
  • Wald T, Zebralla V, Boege M, Kunz V, Neumuth T, Dietz A, et al. Web-Based Patient-Reported Outcomes for ENT Patients-Evaluation of the Status Quo, Patients’ View, and Future Perspectives. Int J Environ Res Public Health. 2022 Sept 18;19(18):11773.
  • Alshirbaji TA, Jalal NA, Docherty PD, Neumuth T, Möller K. Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation. Electronics [Internet]. 2022 Sept 9 [cited 2022 Nov 2];11(18):2849. Available from: https://www.mdpi.com/2079-9292/11/18/2849
  • Unger M, Heinrich S, Rick M, Halama D, Chalopin C. Hologram accuracy evaluation of HoloLens 2 for thermal imaging in medical applications. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Nov 10];8(2):193–6. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1050/html
  • Ziche L, Lenzig B, Bieck R, Neumuth T, Schoenfelder S. Image-based deep learning of finite element simulations for fast surrogate biomechanical organ deformations. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Jan 4];8(2):528–31. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1135/html
  • Thürk G, Lott C, Neumuth T, Rockstroh M. Consideration of the generated network utilization of the IEEE 11073 SDC standard. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Jan 4];8(2):505–8. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1129/html
  • Jalal NA, Arabian H, Abdulbaki Alshirbaji T, Docherty PD, Neumuth T, Moeller K. Analysing attention convolutional neural network for surgical tool localisation: a feasibility study. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Jan 4];8(2):548–51. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1140/html
  • Bieck R, Heuermann K, Sorge M, Neumuth T, Pirlich M. Saliency-assisted multi-label classification for explainable deep learning applications in endoscopic ENT navigation. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Jan 4];8(2):596–9. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1152/html
  • Alshirbaji TA, Aldeen Jalal N, Docherty PD, Neumuth T, Moeller K. Neural Network Classification of Surgical Tools in Gynecological Videos. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2023 Jan 4];8(2):644–7. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1164/html
  • Kasparick M, Schackmann D, Klotz T, Ritz F, Golatowski F, Rethfeldt M, et al. IEEE 11073 SDC for Pandemics like COVID-19: Example Implementation of an Isolation Room. Current Directions in Biomedical Engineering [Internet]. 2022 Sept 2 [cited 2022 Nov 2];8(2):352–5. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1090/html
  • Grieb N, Oeser A, Kubasch AS, Wang SY, Lilienfeld-Toal M von, Yomade O, et al. P-212: Quantifying the average treatment effect of single vs. tandem autologous stem cell transplantation in newly diagnosed multiple myeloma using causal inference. In: Clinical Lymphoma, Myeloma and Leukemia [Internet]. Elsevier; 2022 [cited 2022 Dec 5]. p. S151–2. Available from: https://www.clinical-lymphoma-myeloma-leukemia.com/article/S2152-2650(22)00542-0/abstract
  • Jansen-Winkeln B, Germann I, Köhler H, Mehdorn M, Maktabi M, Sucher R, et al. Correction to: Comparison of hyperspectral imaging and fluorescence angiography for the determination of the transection margin in colorectal resections-a comparative study. Int J Colorectal Dis. 2022 Aug;37(8):1921.
  • Struck MF, Kleber C, Ewens S, Ebel S, Kirsten H, Krämer S, et al. Chest Tube Placement in Mechanically Ventilated Trauma Patients: Differences between Computed Tomography-Based Indication and Clinical Decision. J Clin Med. 2022 July 13;11(14):4043.
  • Alshirbaji TA, Jalal NA, Docherty PD, Neumuth PT, Moller K. Improving the Generalisability of Deep CNNs by Combining Multi-stage Features for Surgical Tool Classification. Annu Int Conf IEEE Eng Med Biol Soc. 2022 July;2022:533–6.
  • Girrbach F, Zeutzschel F, Schulz S, Lange M, Beda A, Giannella-Neto A, et al. Methods for Determination of Individual PEEP for Intraoperative Mechanical Ventilation Using a Decremental PEEP Trial. J Clin Med. 2022 June 27;11(13):3707.
  • Chheang V, Heinrich F, Joeres F, Saalfeld P, Preim B, Hansen C. Group WiM: A Group Navigation Technique for Collaborative Virtual Reality Environments. In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2022. p. 556–7.
  • Heinrich F, Schwenderling L, Joeres F, Hansen C. 2D versus 3D: A Comparison of Needle Navigation Concepts between Augmented Reality Display Devices. In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2022. p. 260–9.
  • Kistler M, Köhler H, Theopold J, Gockel I, Roth A, Hepp P, et al. Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration. Sci Rep. 2022 Jan 12;12(1):608.
  • Hennig S, Jansen-Winkeln B, Köhler H, Knospe L, Chalopin C, Maktabi M, et al. Novel Intraoperative Imaging of Gastric Tube Perfusion during Oncologic Esophagectomy—A Pilot Study Comparing Hyperspectral Imaging (HSI) and Fluorescence Imaging (FI) with Indocyanine Green (ICG). Cancers [Internet]. 2022 Jan [cited 2022 Jan 3];14(1):97. Available from: https://www.mdpi.com/2072-6694/14/1/97
  • Möllenhoff C, Eder PA, Rashid A, Möllenhoff C, Römer I, Franczyk B. Digitale Systeme zur Unterstützung von präklinischen Notfalleinsätzen: Deutschlandweite Querschnittserhebung zu Verfügbarkeit, Nutzung und bestehenden Herausforderungen. Anaesthesiologie [Internet]. 2022 [cited 2024 Sept 18];71(7):518–25. Available from: https://link.springer.com/10.1007/s00101-021-01085-5
  • Mielke T, Joeres F, Hansen C. Natural 3D Object Manipulation for Interactive Laparoscopic Augmented Reality Registration. In: Chen JYC, Fragomeni G, editors. Virtual, Augmented and Mixed Reality: Design and Development [Internet]. Cham: Springer International Publishing; 2022 [cited 2023 Nov 10]. p. 317–28. Available from: https://link.springer.com/10.1007/978-3-031-05939-1_21
  • Hu S. Focused Ultrasound-Induced Cavitation Renders Cancer Cells Susceptibleto Radiation Therapy, Hyperthermia and Testosterone Treatment. 2022.
  • Geisler, Daniela, Urban, Daniela, Schmidt, Richard, Schreiber, Max, Tylcz, Jean-Baptiste, Schneider, Andreas, et al. Case-Management-basierte und digital unterstützte Pflege in der Schlaganfallnachsorge – Leipziger Erfahrungen mit der Qualifikation der Durchführenden und inhaltlichen Ausgestaltung. 2022.
  • Jansen-Winkeln B, Köhler H, Pfahl A, Mehdorn M, Gockel I, Chalopin C, et al. Intraoperative Anwendung künstlicher Intelligenz und neuer hyperspektraler Bildgebungsverfahren in der kolorektalen Chirurgie. coloproctology [Internet]. 2022 [cited 2023 Jan 5];44(2):104–9. Available from: https://link.springer.com/10.1007/s00053-022-00592-2
  • Wahl T. Modellierung und Implementierung eines kollaborativen Robotersystems im IEEE11073 Standard und Validierung der Netzwerkkommunikation für die beispielhafte Anwendung in ultraschallgestützten Biopsien. 2022.
  • Unger M. Development of surgical assistance systems based on infrared thermography. 2022.
  • Oeser A. Distributed Knowledge Modeling and Integration of Model-Based Beliefs into the Clinical Decision-Making Process. 2022.
  • Liebmann P. Intraoperative process monitoring using generalized surgical process models. 2022.
  • Esmail Karar M, Ahmed Shouman M, Chalopin C. Adversarial Neural Network Classifiers for COVID-19 Diagnosis in Ultrasound Images. Computers, Materials & Continua [Internet]. 2022 [cited 2022 Apr 26];70(1):1683–97. Available from: https://www.techscience.com/cmc/v70n1/44358
  • Stelzner T. Entwicklung eines interaktiven Diagnosewerkzeugs für die automatische Identifikation & Exploration von Gewebe-Anteilen der lumbalen Wirbelsäule aus MRT-Bilddaten. 2022.
  • Wawrzyniak L. Einsatz künstlicher lntelligenz zur Untersuchung hyperspektral aufgenommener histologischer Schnitte mit kolorektalen Karzinom. 2022.
  • Kutzner R. Untersuchung des Ein usses von Bewegung auf die Präzision des Handtrackings der HoloLens 2. 2022.
  • Pretzsch D. Augmented Reality in der medizinischen Reanimation: Analyse zur Verbesserung der Benutzerfreundlichkeit für ein Microsoft HoloLens Interface. 2022.
  • Gunreben L. Entwicklung und Evaluation eines Augmented-Reality basierten Interaktionskonzeptes zur Steuerung eines kollaborativen Robotersystems bei bildgestützten Interventionen. 2022.
  • Westerhoff JC. Simulation von Vitalparametern zur Geräteentwicklung und Evaluation von Systemen im Bereich von SDC. 2022.
  • Semmler E. Entwurf eines ergonomischen Visualisierungsverfahren für Daten eines technischen Leitstands im medizinischen Umfeld. 2022.
  • Grisanova D. Integration of Automatic Classification Tools of Hyperspectral Imaging Data. 2022.
  • von Braun MS. Image Stitching for Real-Time Laparoscopic Hyperspectral Imaging. 2022.

Publications from 2021

  • Baur D, Bieck R, Berger J, Neumann J, Henkelmann J, Neumuth T, et al. Analysis of the paraspinal muscle morphology of the lumbar spine using a convolutional neural network (CNN). Eur Spine J. 2021 Dec 11;
  • Enninful HRNB, Schneider D, Rudolph B, Meyer A, Mascotto S, Valiullin R. Nuclear Magnetic Resonance Cryoporometry Study of Solid–Liquid Equilibria in Interconnected Spherical Nanocages. J Phys Chem C [Internet]. 2021 Dec 9 [cited 2021 Dec 14];125(48):26916–26. Available from: https://doi.org/10.1021/acs.jpcc.1c08217
  • Angel-Raya E, Chalopin C, Avina-Cervantes JG, Cruz-Aceves I, Wein W, Lindner D. Segmentation of brain tumour in 3D Intraoperative Ultrasound imaging. Int J Med Robot. 2021 Dec;17(6):e2320.
  • Huehn M, Gaebel J, Oeser A, Dietz A, Neumuth T, Wichmann G, et al. Bayesian Networks to Support Decision-Making for Immune-Checkpoint Blockade in Recurrent/Metastatic (R/M) Head and Neck Squamous Cell Carcinoma (HNSCC). Cancers (Basel). 2021 Nov 23;13(23):5890.
  • Kubasch AS, Grieb N, Oeser A, Neumuth T, Yomade O, Hochhaus A, et al. Predicting Early Relapse for Patients with Multiple Myeloma through Machine Learning. In: Blood [Internet]. 2021 [cited 2022 Dec 5]. p. 2953. Available from: https://www.sciencedirect.com/science/article/pii/S0006497121048904
  • Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, et al. Surgical data science - from concepts toward clinical translation. Med Image Anal. 2021 Nov 18;76:102306.
  • Jalal NA, Abdulbaki Alshirbaji T, Laufer B, Docherty PD, Russo SG, Neumuth T, et al. Effects of Intra-Abdominal Pressure on Lung Mechanics during Laparoscopic Gynaecology. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2091–4.
  • Gockel I, Hartmann W, Köhler H, Leonhardi J, Heyn S, Thieme R. Epigastrische Schmerzen beim „Magentumor“: Der Kolibri unter den Differenzialdiagnosen. Chirurg [Internet]. 2021 Oct 19 [cited 2022 Jan 7]; Available from: https://link.springer.com/10.1007/s00104-021-01522-6
  • Pabst T, Stegemann D, Georgi C, Kasparick M, Suleder J, Neumuth T, et al. TeleSDC: Concept for ISO/IEEE 11073 SDC in telemedicine across unreliable networks. Current Directions in Biomedical Engineering [Internet]. 2021 Oct 1 [cited 2024 July 9];7(2):403–6. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2102/html
  • Alshirbaji TA, Jalal NA, Docherty PD, Neumuth T, Moeller K. Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification. Current Directions in Biomedical Engineering [Internet]. 2021 Oct 1 [cited 2021 Dec 23];7(2):476–9. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2121/html
  • Bieck R, Wildfeuer V, Kunz V, Sorge M, Pirlich M, Rockstroh M, et al. Generation of surgical reports using keyword-augmented next sequence prediction. Current Directions in Biomedical Engineering [Internet]. 2021 Oct 1 [cited 2021 Dec 23];7(2):387–90. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2098/html
  • Gaebel J, Keller J, Schneider D, Lindenmeyer A, Neumuth T, Franke S. The Digital Twin: Modular Model-Based Approach to Personalized Medicine. Current Directions in Biomedical Engineering [Internet]. 2021 Oct 1 [cited 2021 Dec 14];7(2):223–6. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2057/html
  • Jalal NA, Alshirbaji TA, Docherty PD, Neumuth T, Laufer B, Moeller K. Changes of Physiological parameters of the patient during laparoscopic gynaecology. Current Directions in Biomedical Engineering [Internet]. 2021 Oct 1 [cited 2021 Dec 23];7(2):500–3. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2127/html
  • Maktabi M, Neumuth T. Situation-Dependent Medical Device Risk Estimation: Design and Evaluation of an Equipment Management Center For Vendor-Independent Integrated Operating Rooms. J Patient Saf. 2021 Oct 1;17(7):e622–30.
  • Jansen-Winkeln B, Takoh JP, Chalopin C, Maktabi M, Lyros O, Sucher R, et al. Hyperspectral Imaging: A New Intraoperative Tool for Pouch Assessment in Patients Undergoing Restorative Proctocolectomy. Visc Med. 2021 Oct;37(5):426–33.
  • Collins T, Maktabi M, Barberio M, Bencteux V, Jansen-Winkeln B, Chalopin C, et al. Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging. Diagnostics (Basel). 2021 Sept 30;11(10):1810.
  • Michalski D, Prost A, Handel T, Schreiber M, Tylcz JB, Geisler D, et al. The PostStroke-Manager - combining mobile, digital and sensor-based technology with personal assistance: protocol of the feasibility study. Neurol Res Pract. 2021 Sept 9;3(1):53.
  • Berger J, Unger M, Melzer A. Accuracy evaluation of two co-registered mobile robotic systems for image guided interventions. In: Biomedical Engineering / Biomedizinische Technik [Internet]. De Gruyter; 2021 [cited 2022 Jan 6]. p. 290–4. Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2021-6044/html
  • Tretbar SH, Fournelle M, Speicher D, Becker FJ, Anastasiadis P, Landgraf L, et al. A novel matrix-array-based MR-conditional ultrasound system for local hyperthermia of small animals. IEEE Trans Biomed Eng. 2021 Aug 16;PP.
  • Abdulbaki Alshirbaji T, Jalal NA, Docherty PD, Neumuth T, Möller K. A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos. Biomedical Signal Processing and Control [Internet]. 2021 July 1 [cited 2021 May 27];68:102801. Available from: https://www.sciencedirect.com/science/article/pii/S1746809421003980
  • Gockel I, Barberio M, Diana M, Thieme R, Pfahl A, Sucher R, et al. [New intraoperative fluorescence-based and spectroscopic imaging techniques in visceral medicine - precision surgery in the “high tech”-operating room]. Z Gastroenterol. 2021 June 22;
  • Jalal NA, Abdulbaki Alshirbaji T, Laufer B, Docherty PD, Neumuth T, Möller K. Correlation between intra-abdominal pressure and lung mechanics during laparoscopic gynecology. In: AUTOMED 2021 [Internet]. Zenodo; 2021 [cited 2021 Dec 23]. Available from: https://zenodo.org/record/4925800
  • Abdulbaki Alshirbaji T, Jalal NA, Docherty PD, Neumuth T, Möller K. Cross-dataset evaluation of a CNN-based approach for surgical tool detection. In: AUTOMED 2021 [Internet]. Zenodo; 2021 [cited 2021 Dec 23]. Available from: https://zenodo.org/record/4922977
  • Moulla Y, Buchloh DC, Köhler H, Rademacher S, Denecke T, Meyer HJ, et al. Hyperspectral Imaging (HSI)-A New Tool to Estimate the Perfusion of Upper Abdominal Organs during Pancreatoduodenectomy. Cancers (Basel). 2021 June 7;13(11):2846.
  • Knospe L, Winkeln BJ, Mehdorn M, Thieme R, Niebisch S, Moulla Y, et al. Neue intraoperative Bildgebungsverfahren in der onkologischen Viszeralchirurgie. best practice onkologie [Internet]. 2021 May 31 [cited 2021 June 2]; Available from: https://doi.org/10.1007/s11654-021-00313-z
  • Nardini C, Osmani V, Cormio PG, Frosini A, Turrini M, Lionis C, et al. The evolution of personalized healthcare and the pivotal role of European regions in its implementation. Per Med. 2021 May;18(3):283–94.
  • Mehdorn M, Ebel S, Köhler H, Gockel I, Jansen-Winkeln B. Hyperspectral imaging and indocyanine green fluorescence angiography in acute mesenteric ischemia: A case report on how to visualize intestinal perfusion. Int J Surg Case Rep. 2021 May;82:105853.
  • Kohler LH, Köhler H, Kohler S, Langer S, Nuwayhid R, Gockel I, et al. Hyperspectral Imaging (HSI) as a new diagnostic tool in free flap monitoring for soft tissue reconstruction: a proof of concept study. BMC Surg. 2021 Apr 30;21(1):222.
  • Enninful HRNB, Schneider D, Enke D, Valiullin R. Impact of Geometrical Disorder on Phase Equilibria of Fluids and Solids Confined in Mesoporous Materials. Langmuir [Internet]. 2021 Mar 16 [cited 2021 Mar 22]; Available from: https://doi.org/10.1021/acs.langmuir.0c03047
  • Zebralla V, Wiegand S, Dietz A, Wichmann G, Neumuth T, Mehnert-Theuerkauf A, et al. Course of Self-Reported Dysphagia, Voice Impairment and Pain in Head and Neck Cancer Survivors. Biology (Basel). 2021 Feb 11;10(2).
  • Weber-Chüo T, Rockstroh M, Franke S, Hofer M, Dietz A, Neumuth T, et al. [Evaluation of an integrated OR based on open standards in Cochlea Implant surgery]. Laryngorhinootologie. 2021 Jan 25;
  • Hammermüller C, Hinz A, Dietz A, Wichmann G, Pirlich M, Berger T, et al. Depression, anxiety, fatigue, and quality of life in a large sample of patients suffering from head and neck cancer in comparison with the general population. BMC Cancer. 2021 Jan 22;21(1):94.
  • Zebralla V, Wichmann G, Pirlich M, Hammermüller C, Berger T, Zimmermann K, et al. Dysphagia, voice problems, and pain in head and neck cancer patients. Eur Arch Otorhinolaryngol. 2021 Jan 16;
  • Broemer L, Friedrich M, Wichmann G, Müller J, Neumuth T, Dietz A, et al. Exploratory results of factors associated with employment status in Head and Neck Cancer patients. Head and Neck. 2021;43:1229–41.
  • Chalopin C, Maktabi M, Pfahl A, Köhler H, Jansen-Winkeln B, Neumuth T, et al. Neue Dimension der Präzisionschirurgie. Krankenhaus Technik+Management. 2021;(5).
  • Kubasch AS, Oeser A, Grieb N, Meschke T, Weigert A, Gloaguen S, et al. Development of a semantic and causal model for treatment decision making in myelodysplastic syndromes. In: Jahrestagung der Dt Gesellschaft für Hämatologie und Medizinische Onkologie (DGHO). 2021.
  • Zebralla V, Wichmann G, Georgi C, Neumuth T, Dietz A, Wiegand S. Einfluss der SARS-CoV-2- Pandemie auf Angst und Depressivität bei Kopf-Hals-Tumorpatienten. In: Mitteldeutscher HNO-Kongress. 2021.
  • KI-Geschäftsmodelle für die Gesundheit. ACATECH Plattform lernende Systeme; 2021.
  • Osterhoff G, Kießling L, Vogel C, Fakler J, Neumuth T, Neumann J. TraumaFlow - Entwicklung einer Workflow-Assistenz für die Behandlung von Traumapatienten im Schockraum. In Berlin; 2021.
  • Nenoff K, Grieb N, Oeser A, Neumuth T, Platzbecker U, Kubasch AS. [Künstliche Intelligenz in der Hämatologie]. InFo Hämatologie und Onkologie. 2021;24(12):10–2.
  • Beiträge für die Erarbeitung einer KI-Strategie des Freistaates Sachsen. 2021.
  • Maktabi M, Wichmann Y, Köhler H, Chalopin C, Jansen-Winkeln B, Ahle H, et al. Entwicklung eines semi-automatischen Entscheidungsprozesses mittels hyperspektraler Bildgebung zur Identifizierung von Karzinomzellen in Resektaten von Patienten mit ösophagealem Adenokarzinom. In Erst online. Dann vor Ort in Leipzig.; 2021 [cited 2022 Jan 14]. p. s-0041-1733477. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1733477
  • Jansen-Winkeln B, Barberio M, Chalopin C, Schierle K, Köhler H, Gockel I, et al. Colorectal cancer detection using hyperspectral imaging. In Erst online. Dann vor Ort in Leipzig.; 2021 [cited 2022 Jan 14]. p. s-0041-1733545. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1733545
  • Stöhr M, Hühn M, Gaebel J, Dietz A, Oeser A, Wichmann G. Model for decision support of molecular pathological parameters in head and neck cancer. In HNO-Online-Kongress; 2021 [cited 2022 Jan 11]. p. s-0041-1727958. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1727958
  • Cervantes-Sanchez F, Maktabi M, Köhler H, Sucher R, Rayes N, Avina-Cervantes JG, et al. Automatic tissue segmentation of hyperspectral images in liver and head neck surgeries using machine learning. AIS [Internet]. 2021 [cited 2022 Jan 10]; Available from: https://aisjournal.net/article/view/4291
  • Michalski D, Prost A, Handel T, Schreiber M, Tylcz JB, Urban D, et al. PostStroke-Manager: Modellprojekt für ein patientenzentriertes Unterstützungssystem unter Nutzung mobiler digitaler Technologien und einer Lotsenbegleitung in der Schlaganfallnachsorge. In: Jahrestagung der Deutschen Gesellschaft für Neurologie (DGN), 2021. 2021.
  • Chalopin C, Maktabi M, Köhler H, Cervantes-Sanchez F, Pfahl A, Jansen-Winkeln B, et al. Intraoperative Imaging for Procedures of the Gastrointestinal Tract. In: Horgan S, Fuchs KH, editors. Innovative Endoscopic and Surgical Technology in the GI Tract [Internet]. Cham: Springer International Publishing; 2021 [cited 2021 Oct 4]. p. 365–79. Available from: https://doi.org/10.1007/978-3-030-78217-7_32
  • Tylcz JB, Prost A, Geisler D, Urban D, Schreiber M, Handel T, et al. Toward an efficient mobile system for stroke case managers: requirements,. In: 2021 IEEE EMBS Int Conf Biomed Health Inform. 2021.
  • Unger M, Berger J, Melzer A. Robot-Assisted Image-Guided Interventions. Front Robot AI. 2021;8:664622.
  • Manfredi L, Mattos LS, Melzer A. Editorial: Novel Actuators, Sensors and Control Systems for Endoscopic Robots. Front Robot AI. 2021;8:797467.

Publications from 2020

  • Enninful HRNB, Schneider D, Kohns R, Enke D, Valiullin R. A novel approach for advanced thermoporometry characterization of mesoporous solids: Transition kernels and the serially connected pore model. Microporous and Mesoporous Materials [Internet]. 2020 Dec 15 [cited 2020 Nov 19];309:110534. Available from: http://www.sciencedirect.com/science/article/pii/S1387181120305357
  • Hu S, Zhang X, Unger M, Patties I, Melzer A, Landgraf L. Focused Ultrasound-Induced Cavitation Sensitizes Cancer Cells to Radiation Therapy and Hyperthermia. Cells. 2020 Dec 3;9(12).
  • Gruner J, Bloße A, Rockstroh M, Neumuth T, Rostalski P. Requirement Analysis for an Aerial Relay in Emergency Response Missions. 2020 Nov 26;4. Available from: https://www.degruyter.com/view/journals/cdbme/6/3/article-p16.xml
  • Zajonz D, Höhn C, Neumann J, Angrick C, Möbius R, Huschak G, et al. Increasing efficiency by optimizing table position for elective primary THA and TKA: a prospective monocentric pilot study. Arthroplasty [Internet]. 2020 Oct 19 [cited 2020 Oct 20];2(1):29. Available from: https://doi.org/10.1186/s42836-020-00048-2
  • Reich CM, Sattler B, Unger M, Jochimsen T, Melzer L, Landgraf L, et al. Practical Setting and Potential Applications of Interventions Guided by PET/MRI. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 2020 Oct 12;
  • Bieck R, Heuermann K, Pirlich M, Neumann J, Neumuth T. Language-based translation and prediction of surgical navigation steps for endoscopic wayfinding assistance in minimally invasive surgery. Int J Comput Assist Radiol Surg. 2020 Oct 10;15(12):2089–100.
  • Reich CM. Realising MRI-guided Interventions: Technical Challenges. 2020 Oct 9.
  • Müller J, Stoehr M, Oeser A, Gaebel J, Streit M, Dietz A, et al. A visual approach to explainable computerized clinical decision support. Computers & Graphics [Internet]. 2020 Oct 1 [cited 2020 July 14];91:1–11. Available from: http://www.sciencedirect.com/science/article/pii/S0097849320300935
  • Jansen-Winkeln B, Dvorak M, Niebisch S, Germann I, Köhler H, Chalopin C, et al. Determination of the Ideal Anastomotic Position by Hyperspectral Imaging in Colorectal Resection. In: Journal of the American College of Surgeons. 2020. p. e9.
  • Reich CM. New MR instruments and ancillary systems for MR guided procedures. 2020 Sept 30.
  • Gholami Bajestani D, Pfahl A, Reich CM, Immel E, Neumann A, Hammerschmidt R, et al. Development of in-vitro Vessel Phantom for Computer-assisted MRI-guided Thrombectomy and Vena Cava Filter Implantation. In Leipzig; 2020.
  • Pfahl A. Acquisition of Clinical Workflow of EMB for Development of Computer-assisted MRI-guided Interventions. 2020 Sept 29.
  • Prost A, Rothmaler K, Handel T, Geisler D, Urban D, Martin R, et al. Der PostStroke-Manager: Untersuchung der Machbarkeit eines kombinierten Schlaganfallnachsorge-Konzeptes aus digitaler Unterstützung und Schlaganfall-Lotsenbetreuung mithilfe von Patient-reported Outcomes. In: 19 Deutscher Kongress für Versorgungsforschung (DKVF) [Internet]. 2020 [cited 2020 Nov 30]. Available from: https://www.egms.de/en/meetings/dkvf2020/20dkvf407.shtml
  • Jansen-Winkeln B, Germann I, Köhler H, Mehdorn M, Maktabi M, Sucher R, et al. Comparison of hyperspectral imaging and fluorescence angiography for the determination of the transection margin in colorectal resections-a comparative study. International Journal of Colorectal Disease. 2020 Sept 23;
  • Maktabi M, Köhler H, Chalopin C, Neumuth T, Wichmann Y, Jansen-Winkeln B, et al. Semi-automatic decision-making process in histopathological specimens from Barrett’s carcinoma patients using hyperspectral imaging (HSI). Current Directions in Biomedical Engineering [Internet]. 2020 Sept 1;6(3):261–3. Available from: https://www.degruyter.com/view/journals/cdbme/6/3/article-p261.xml
  • Gaebel J, Bockelmann C, Dekorsy A, Wendlandt R, Musiol T, Neumann J, et al. Requirements for 5G Integrated Data Transfer in German Prehospital Emergency Care. Current Directions in Biomedical Engineering [Internet]. 2020 Sept 1;6(3):9–12. Available from: https://www.degruyter.com/view/journals/cdbme/6/3/article-p9.xml
  • Rockstroh M, Suleder J, Bockelmann C, Gaebel J, Georgi C, Neumuth T, et al. Towards an integrated emergency medical care using 5G networks. Current Directions in Biomedical Engineering [Internet]. 2020 Sept 1;6(3):5–8. Available from: https://www.degruyter.com/view/journals/cdbme/6/3/article-p5.xml
  • Reich CM, Unger M, Melzer L, Jochimsen T, Sattler B, Sabri O, et al. Developing an Intuitive and Feasible Setup for In-room Control During MRI-guided Interventions. Current Directions in Biomedical Engineering [Internet]. 2020 Sept 1 [cited 2020 Dec 1];6(3):280–3. Available from: https://www.degruyter.com/view/journals/cdbme/6/3/article-p280.xml
  • Haralampiev I, Prisner S, Nitzan M, Schade M, Jolmes F, Schreiber M, et al. Selective flexible packaging pathways of the segmented genome of influenza A virus. Nature Communications [Internet]. 2020 Aug 28 [cited 2020 Nov 20];11(1):4355. Available from: https://www.nature.com/articles/s41467-020-18108-1
  • Jansen-Winkeln B, Takoh JP, Köhler H, Gockel I. Hyperspektralimaging bei Ileoanalen-Pouch-Operationen. In: Zeitschrift für Gastroenterologie [Internet]. © Georg Thieme Verlag KG; 2020 [cited 2020 Nov 19]. p. PCh 018. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1716265
  • Jansen-Winkeln B, Dvorak M, Barberio M, Mehdorn M, Köhler H, Niebisch S, et al. Bestimmung der idealen Anastomosenposition bei kolorektalen Resektionen mit der Hyperspektralbildgebung (HSI). In: Zeitschrift für Gastroenterologie [Internet]. © Georg Thieme Verlag KG; 2020 [cited 2020 Nov 19]. p. PCh 019. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1716266
  • Köhler H, Kulcke A, Maktabi M, Moulla Y, Jansen-Winkeln B, Barberio M, et al. Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range. J Biomed Opt. 2020 Aug;25(8):086004.
  • Li G, Patel NA, Melzer A, Sharma K, Iordachita I, Cleary K. MRI-guided lumbar spinal injections with body-mounted robotic system: cadaver studies. Minim Invasive Ther Allied Technol. 2020 July 30;1–9.
  • Maktabi M, Köhler H, Ivanova M, Neumuth T, Rayes N, Seidemann L, et al. Classification of Hyperspectral Endocrine Tissue Images Using Support Vector Machines. Int J Med Robot. 2020 May 10;e2121.
  • Mehdorn M, Köhler H, Rabe SM, Niebisch S, Lyros O, Chalopin C, et al. Hyperspectral Imaging (HSI) in Acute Mesenteric Ischemia to Detect Intestinal Perfusion Deficits. J Surg Res. 2020 May 8;254:7–15.
  • Cao R, Huang Z, Nabi G, Melzer A. Patient-Specific 3-Dimensional Model for High-Intensity Focused Ultrasound Treatment Through the Rib Cage: A Preliminary Study. J Ultrasound Med. 2020 May;39(5):883–99.
  • Mihcin S, Gagliardo C, Toia P, Dennison A, Strehlow J, Melzer A. MR-guided focused ultrasound application for moving target tumor ablation in abdominal area: coil selection. Acta Radiol [Internet]. 2020 Apr 10 [cited 2020 Apr 21]; Available from: http://journals.sagepub.com/doi/10.1177/0284185120914059
  • Simon P, Busse D, Petroff D, Dorn C, Ehmann L, Hochstädt S, et al. Linezolid Concentrations in Plasma and Subcutaneous Tissue are Reduced in Obese Patients, Resulting in a Higher Risk of Underdosing in Critically Ill Patients: A Controlled Clinical Pharmacokinetic Study. J Clin Med. 2020 Apr 9;9(4).
  • Bailis N, Lerche M, Meyer HJ, Wienke A, Surov A. Contrast reflux into the inferior vena cava on computer tomographic pulmonary angiography is a predictor of 24-hour and 30-day mortality in patients with acute pulmonary embolism. Acta Radiol. 2020 Apr 2;
  • Reich CM. Developing an Intuitive and Feasable Setup for In-room Control During MRI-guided Interventions. 2020 Mar 12.
  • Gholami Bajestani D, Pfahl A, Reich CM, Immel E, Melzer L, Lenk K, et al. Development of in-vitro Vessel Phantoms for MRI-guided Interventions. In Chicago; 2020.
  • Moulla Y, Reifenrath M, Rehmet K, Niebisch S, Jansen-Winkeln B, Sucher R, et al. Hybridösophagektomie mit intraoperativem Hyperspektral-Imaging: Videobeitrag. Chirurg [Internet]. 2020 Feb 17 [cited 2020 Feb 25]; Available from: http://link.springer.com/10.1007/s00104-020-01139-1
  • Hassiotis A, Walsh A, Budgett J, Harrison I, Jones R, Morant N, et al. Intensive support for adults with intellectual disability and behaviours that challenge: a survey of provision and service typologies in England. BJPsych Open. 2020 Feb 11;6(2):e20.
  • Unger M, Berger J, Gerold B, Melzer A. Robot-assisted Ultrasound-guided Tracking of Anatomical Structures for the Application of Focused Ultrasound. In: 32nd Annual SMIT Congress. 2020.
  • Cooney GS, Barberio M, Diana M, Sucher R, Chalopin C, Köhler H. Comparison of spectral characteristics in human and pig biliary system with hyperspectral imaging (HSI). In: Current Directions in Biomedical Engineering. 2020. p. 5.
  • Maktabi M, Wichmann Y, Köhler H, Chalopin C, Jansen-Winkeln B, Ahle H, et al. Semi-automatic decision-making process in histopathological specimens from Barrett’s carcinoma patients using hyperspectral imaging (HSI). In: Current Directions in Biomedical Engineering. 2020. p. 3.
  • Girrbach F, Petroff D, Schulz S, Hempel G, Lange M, Klotz C, et al. Individualised positive end-expiratory pressure guided by electrical impedance tomography for robot-assisted laparoscopic radical prostatectomy: a prospective, randomised controlled clinical trial. Br J Anaesth. 2020;125(3):373–82.
  • Gaebel J, Wu HG, Oeser A, Cypko MA, Stoehr M, Dietz A, et al. Modeling and Processing Up-To-Dateness of Patient Information in Probabilistic Therapy Decision Support. Artif Intell Med 2020 [Internet]. 2020 [cited 2020 Mar 12];101842. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0933365719302945
  • Zebralla V, Müller J, Wald T, Boehm A, Wichmann G, Berger T, et al. Obtaining Patient-Reported Outcomes Electronically With “OncoFunction” in Head and Neck Cancer Patients During Aftercare. Front Oncol. 2020;10:549915.
  • Zhang X, Landgraf L, Bailis N, Unger M, Jochimsen T, Melzer A. Image-guided Focused Ultrasound, A Novel Application For Interventional Nuclear Medicine? J Nucl Med. 2020 in submission;Journal of Nuclear Medicine.
  • Zhang X, Hu S, Patties I, Landgraf L, Melzer A. Radiosensitization of human cancer cells with in vitro focused ultrasound. 2020.
  • Unger M, Berger J, Gerold B, Melzer A. Robot-assisted Ultrasound-guided Tracking of Anatomical Structures for the Application of Focused Ultrasound. Current Directions in Biomedical Engineering. 2020;
  • Unger M, Berger J, Gerold B, Melzer A. Robot-assisted Ultrasound-guided Tracking of Anatomical Structures for the Application of Focused Ultrasound. 2020.
  • Berger J, Keller J, Unger M, Landgraf L, Melzer A. A Collaborative and Integrated Robotic System for the Application in Image-Guided Interventions. 2020.
  • Kozlowski, Adam. Establishment and focused ultrasound treatment of 3D in vitro tumor models. 2020.
  • Neumann J, Vogel D, Neumuth T. BPMNSIX.io - A Web-based Surgical Workflow Modeling Tool with Ontology Integration. In München; 2020. p. S46–7.
  • Pabst T. Konzeption und Implementierung eines Machine-Learning-Systems zur Erkennung ähnlicher Fingerabdrucksmerkmale von verwandten Personen. Leipzig, Germany; 2020.
  • Stöhr M, Mehlhorn S, Oeser A, Dietz A, Gaebel J, Cypko Ma. Development of a treatment supporting system for oropharynxgeal carcinoma. In Estrel Congress Center Berlin; 2020 [cited 2020 Nov 17]. p. s-0040-1711036. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1711036
  • Zhang X, Bobeica M, Unger M, Bednarz A, Gerold B, Patties I, et al. Focused ultrasound radiosensitize human cancer cells by enhancement of DNA damage. Strahlenther Onkol. 2020;

Publications from 2019

  • Mrongowius J, Reske AW. Patientenüberwachung mittels textiler Sensorik in der Notfallmedizin. 2019 Nov 13.
  • Pfahl A. Visualization of instruments for minimally invasive MR-guided interventions. 2019 Oct 10.
  • Landeck T, Mrongowius J, Salz P, Gottschaldt U, Reske AW, Girrbach FF. Elektrische Impedanztomografie als Verfahren zur Bestimmung der korrekten Lage des Doppellumentubus in der Thoraxchirurgie. 2019 Oct 5.
  • Fuchs R, Mrongowius J, Landeck T, Salz P, Neumuth T, Reske AW. Electrical Impedance Tomography for monitoring of homogeneous pulmonary ventilation. 2019 Sept 26.
  • Fuchs R, Mrongowius J, Landeck T, Salz P, Neumuth T, Reske AW. Electrical Impedance Tomography for monitoring of homogeneous pulmonary ventilation. In: Biomedical Engineering / Biomedizinische Technik: Abstracts of the 2019 Annual Meeting of the German Society of Biomedical Engineering (25–26 September 2019, Frankfurt am Main) [Internet]. Frankfurt/Main: DeGruyter; 2019 [cited 2019 Oct 25]. p. S33. (s2; vol. 64). Available from: https://www.degruyter.com/view/j/bmte.2019.64.issue-s2/bmt-2019-6007/bmt-2019-6007.xml?format=INT
  • Kongtso P, Salz P, Neumuth T, Reske AW. Konzept eines anatomischen Atlas fur medizinische Studien und patientenspezifische 3D-Modelle. In: CURAC 2019 Tagungsband [Internet]. Hochschule Reutlingen, Alteburgstraße 150, 72762 Reutlingen; 2019 [cited 2019 Dec 4]. p. 245–6. Available from: https://www.curac.org/images/advportfoliopro/images/CURAC2019/Tagungsband_Reutlingen
  • Berger J, Unger M, Landgraf L, Melzer A. Evaluation of an IEEE 11073 SDC Connection of two KUKA Robots towards the Application of Focused Ultrasound in Radiation Therapy. Current Directions in Biomedical Engineering [Internet]. 2019 Sept 1 [cited 2019 Oct 23];5(1):149–52. Available from: http://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0038/cdbme-2019-0038.xml
  • Jansen-Winkeln B, Holfert N, Köhler H, Chalopin C, Gockel I. Bestimmung der idealen Anastomosenposition durch hyperspectrale Bildgebung. Z Gastroenterol. 2019 Aug 13;57(09):KV 93.
  • Muders T, Hentze B, Simon P, Girrbach F, Doebler MRG, Leonhardt S, et al. A Modified Method to Assess Tidal Recruitment by Electrical Impedance Tomography. J Clin Med. 2019 Aug 3;8(8).
  • Unger M, Berger J, Landgraf L, Melzer A. Robotic Positioning for Image-GuidedUltrasoundInterventions. In: Tagungsband der 18 Jahrestagung der Deutschen Gesellschaft für Computer-und Roboterassistierte Chirurgie eV. Reutlingen; 2019. p. 16–7.
  • Köhler H, Jansen-Winkeln B, Chalopin C, Gockel I. Hyperspectral imaging as a new optical method for the measurement of gastric conduit perfusion. Diseases of the Esophagus [Internet]. 2019 May 10 [cited 2019 May 15];doz046. Available from: https://academic.oup.com/dote/advance-article/doi/10.1093/dote/doz046/5487964
  • Mrongowius J, Reske AW, Salz P, Neumuth T. Electrical Impedance Lung Imaging with partial access to the thorax. 2019 May 3.
  • Fleck J. Entwicklung eines digitalen 3D-Herzmodells auf der Grundlage des Visible Human Male Datensatzes als Erweiterung für ein bestehendes Gefäßmodell. Zwickau; 2019.
  • Bieck, Richard R, Neumuth T. Cognitive Situation Awareness For Intelligent Navigation Assistance in Minimally-Invasive Endoscopic Surgery – A System Design Approach. In: Proceedings of the 49th Annual Congress of the German Society for Endoscopy and Imaging Systems. Stuttgart; 2019.
  • Girrbach FF, Pietsch UC, Wrigge H. Optimizing intraoperative ventilation during one-lung ventilation-is individualization the road to success? J Thorac Dis. 2019 Mar;11(Suppl 3):S343–6.
  • Reich CM, Pfahl A, Seifert A, Lehnhardt M, Uihlein B, Schauer S, et al. Research and development of a forceps for MR-guided interventions with the use case endomyocardial biopsy. In: 15th Leipzig Research Festival for Life Sciences - Abstract Book [Internet]. Leipzig; 2019. Available from: http://resfest.uniklinikum-leipzig.de/
  • Ivanova M. Classification of Hyperspectral Endocrine Tissue Images Using Supervised Machine Learning Methods [Master thesis]. [United Kingdom]: University of Glasgow; 2019.
  • Meschke T. Automatische Situationserkennung und -vorhersage bei Bandscheibenoperationen durch Surgical Intervention Ontology. Leipzig, Germany; 2019.
  • Angel Raya E. Brain Tumor Segmentation on 3D Intraoperative Ultrasound Images (3D-iUS) [Master thesis]. [Mexico]: Universidad de Guanajuato; 2019.
  • Gockel I, Jansen-Winkeln B, Holfert N, Rayes N, Thieme R, Maktabi M, et al. Possibilities and perspectives of hyperspectral imaging in visceral surgery. Chirug. 2019;
  • Pogány G. Development of an approach for the automatic classification of the skin blood vessels in medical dynamic infrared thermography (DIRT) [Master thesis]. [United Kingdom]: University of Glasgow; 2019.
  • Rathmann P. Dynamische Infrarot-Thermographie (DIRT) zur Darstellung der Hautdurchblutung bei Kranioplastie-Eingriffen: eine Machbarkeitsstudie zum qualitativen Vergleich mit dem Standard Indocyanin-Grün Video Angiographie (ICGA) [Promotion]. [Deutschland]: Universität Leipzig; 2019.
  • Unger M, Markfort M, Halama D, Chalopin C. Automatic detection of perforator vessels using infrared thermography in reconstructive surgery. Int J Comput Assist Radiol Surg. 2019;14(3):501–7.
  • Roy U, Fournelle M, Greiser S, Robbert van G, Speicher D, Grunwald T, et al. Preclinical MRI-guided focused ultrasound hyperthermia in 7 T MRI. In Barcelona; 2019.
  • Maktabi M, Köhler H, Thieme R, Takoh J, Rabe S, Jansen-Winkeln B, et al. Automatic tumor tissue classification of oncological esophageal resectates based on hyperspectral data. In Wiesbaden; 2019 [cited 2019 Dec 19]. p. s-0039-1695116. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-1695116
  • Lepach D. Entwicklung einer Methodik zur Prädiktion und Simulation von Diagnose- und Patientenaufkommen in Feldhospitälern. 2019.
  • Landgraf L, Leifels L, Bailis N, Melzer A. MRT-geführter fokussierter Ultraschall (MRgFUS): Eine alternative chirurgische Technik ohne Inzision? Zeitschrift chirurgische Praxis. 2019;
  • Landgraf L, Zhang X, Unger M, Patties I, Gerold B, Melzer A. In vitro investigation of combined focused ultrasound (FUS) hyperthermia (HT) and radiation therapy (RT) for future use of image guided FUS and RT in the clinic. In 2019.
  • Landgraf L, Melzer A. Klinische Anwendungen der MR gestützten Ultraschalltherapie. In Leipzig; 2019.
  • Landgraf L, Zhang X, Unger M, Patties I, Melzer A. Radiosensibilisierung von Krebszellen in vitro durch fokussierte Ultraschall-Hyperthermie (FUS-HT). In 2019.
  • Rosenthal JC, Bieck R, Wittenberg T, Eisert P, Neumuth T. Introducing surgical landscape guidance for intelligent assistance in minimally-invasive surgery. In: CARS 2019—Computer Assisted Radiology and Surgery Proceedings of the 33rd International Congress and Exhibition, Rennes, France, June 18–21, 2019 [Internet]. 2019 [cited 2019 Dec 10]. p. 163. Available from: http://link.springer.com/10.1007/s11548-019-01969-3
  • Haase J, Buchloh DC, Hammermüller S, Salz P, Mrongowius J, Carvalho NC, et al. Mechanical Ventilation Strategies Targeting Different Magnitudes of Collapse and Tidal Recruitment in Porcine Acid Aspiration-Induced Lung Injury. J Clin Med. 2019;8(8):16.
  • Spallazzi M, Dobisch L, Becke A, Berron D, Stucht D, Oeltze-Jafra S, et al. Hippocampal vascularization patterns: A high-resolution 7 Tesla time-of-flight magnetic resonance angiography study. Neuroimage Clin. 2019;21:101609.
  • Roy U, Fournelle M, Greiser S, van Gorkum R, Speicher D, Grunwald T, et al. Platform for Preclinical MRI-Guided Focused Ultrasound Hyperthermia in 7 Tesla MRI. In Heilbronn; 2019.
  • Roy U, Fournelle M, Greiser S, van Gorkum R, Speicher D, Grunwald T, et al. Preclinical MR-guided Focused Ultrasound Hyperthermia in 7 Tesla MRI. In Frankfurt; 2019.
  • Zhang X, Unger M, Patties I, Landgraf L, Melzer A. Focused ultrasound radiosensitize prostate cancer cells in vitro. In Heilbronn; 2019.
  • Zhang X, Unger M, Patties I, Landgraf L, Melzer A. Focused ultrasound-induced hyperthermia as radiosensitizer for glioblastoma, prostate cancer and head and neck cancer cell lines. In Warschau; 2019.
  • Zhang X, Unger M, Patties I, Landgraf L, Melzer A. In Vitro Focused Ultrasound Hyperthermia (HT) for Radiosensitization of Human Cancer Cells. In Barcelona; 2019.
  • Zhang X, Unger M, Patties I, Landgraf L, Melzer A. In vitro radiosensitization of human cancer cells with focused ultrasound induced hyperthermia. In Frankfurt; 2019.
  • Zhang X, Unger M, Patties I, Landgraf L, Melzer A. Radiosensitization of human cancer cells in vitro with focused ultrasound induced hyperthermia. In 2019.
  • Chalopin C. Extended non-standard intraoperative imaging in head surgery: Contrast-enhanced ultrasound imaging and infrared thermography [Habilitation]. [Deutschland]: Universität Leipzig; 2019.
  • Köhler H, Maktabi M, Barberio M, Kohler LH, Neumuth T, Gockel I, et al. Hyperspektralbildgebung (HSI) für die intraoperative ortsaufgelöste Quantifizierung des Fettgehalts von Gewebe. In: Tagungsband der 18 Jahrestagung der Deutschen Gesellschaft für Computer-und Roboterassistierte Chirurgie eV. Reutlingen; 2019.
  • Neumann J, Angrick C, Roth A, Neumuth T. Ergonomic Assessment of Operating Room Setups for Orthopedic Reconstructive Surgery. In: Tagungsband der 18 Jahrestagung der Deutschen Gesellschaft für Computer-und Roboterassistierte Chirurgie eV. Reutlingen; 2019.
  • Maktabi M, Köhler H, Ivanova M, Jansen-Winkeln B, Takoh J, Niebisch S, et al. Tissue classification of oncologic esophageal resectates based on hyperspectral data. Int J Comput Assist Radiol Surg. 2019;
  • Neumann J, Franke S, Rockstroh M, Kasparick M, Neumuth T. Extending BPMN 2.0 for intraoperative workflow modeling with IEEE 11073 SDC for description and orchestration of interoperable, networked medical devices. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2019 [cited 2019 Oct 10];14(8):1403–13. Available from: http://link.springer.com/10.1007/s11548-019-01982-6
  • Köhler H, Jansen-Winkeln B, Maktabi M, Barberio M, Takoh J, Holfert N, et al. Evaluation of hyperspectral imaging (HSI) for the measurement of ischemic conditioning effects of the gastric conduit during esophagectomy. Surg Endosc [Internet]. 2019 [cited 2019 Oct 21];33(11):3775–82. Available from: http://link.springer.com/10.1007/s00464-019-06675-4
  • Jansen-Winkeln B, Holfert N, Köhler H, Moulla Y, Takoh JP, Rabe SM, et al. Determination of the transection margin during colorectal resection with hyperspectral imaging (HSI). International Journal of Colorectal Disease [Internet]. 2019 [cited 2019 Feb 8]; Available from: http://link.springer.com/10.1007/s00384-019-03250-0
  • Bieck R, Fuchs R, Neumuth T. Surface EMG-based Surgical Instrument Classification for Dynamic Activity Recognition in Surgical Workflows. Current Directions in Biomedical Engineering [Internet]. 2019 [cited 2019 Oct 25];5(1):37–40. Available from: https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0010/cdbme-2019-0010.xml?format=INT
  • Georgi C, Rockstroh M, Franke S, Neumuth T. Design of a dynamic user interface for IEEE 11073 SDC interoperability testing. In: Tagungsband der 18 Jahrestagung der Deutschen Gesellschaft für Computer-und Roboterassistierte Chirurgie eV. Reutlingen; 2019. p. 66–71.
  • Sucher R, Athanasios A, Köhler H, Wagner T, Brunotte M, Lederer A, et al. Hyperspectral Imaging (HSI) in anatomic left liver resection. International Journal of Surgery Case Reports [Internet]. 2019 [cited 2019 Sept 5];62:108–11. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2210261219304882

Publications from 2018

  • Gaebel J, Müller J, Stoehr M, Oeltze-Jafra S. Model-Based Imitation of Patient Scenarios for Oncological Decision Support. In: Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie eV [Internet]. Leipzig, Germany; 2018. p. 206f. Available from: https://www.curac.org/images/advportfoliopro/images/CURAC2018/CURAC%202018%20Tagungsband.pdf
  • Unger M, Black D, Fischer NM, Neumuth T, Glaser B. Design and evaluation of an eye tracking support system for the scrub nurse. The International Journal of Medical Robotics and Computer Assisted Surgery [Internet]. 2018 Sept 4 [cited 2018 Sept 6];e1954. Available from: http://doi.wiley.com/10.1002/rcs.1954
  • Barberio M, Maktabi M, Gockel I, Rayes N, Jansen-Winkeln B, Köhler H, et al. Hyperspectral based discrimination of thyroid and parathyroid during surgery. Current Directions in Biomedical Engineering [Internet]. 2018 Sept 1 [cited 2018 Oct 24];4(1):399–402. Available from: http://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0095/cdbme-2018-0095.xml
  • Neumuth T, Rockstroh M, Franke S. Context-aware medical technologies - relief or burden for clinical users? Current Directions in Biomedical Engineering [Internet]. 2018 Sept 1 [cited 2018 Nov 2];4(1):119–22. Available from: http://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0030/cdbme-2018-0030.xml
  • Franke S, Rockstroh M, Neumuth T. Context-awareness for control consoles in integrated operating rooms. Current Directions in Biomedical Engineering [Internet]. 2018 Sept 1 [cited 2018 Nov 2];4(1):291–5. Available from: http://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0071/cdbme-2018-0071.xml
  • Gaebel J, Oeser A, Dietz A, Oeltze-Jafra S. Bayesian Networks for Oncological Therapy Decision Support. In Edinburgh; 2018.
  • Multani P, Niemann U, Cypko MA, Kuehn JP, Voelzke H, Oeltze S. Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. In: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). Karlstad, Sweden; 2018.
  • Oeltze-Jafra S, Meuschke M, Neugebauer M, Saalfeld S, Lawonn K, Janiga G, et al. Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges: Medical Flow Visualization. Computer Graphics Forum [Internet]. 2018 May 7 [cited 2018 May 23]; Available from: http://doi.wiley.com/10.1111/cgf.13394
  • Gaebel J, Wu HG, Oeser A, Oeltze-Jafra S. System Infrastructure for Probabilistic Decision Models in Cancer Treatment. In: Building Continents of Knowledge in Oceans of Data: the Future of Co-Created eHealth. Göteborg; 2018.
  • Jansen-Winkeln B, Maktabi M, Takoh JP, Rabe SM, Barberio M, Köhler H, et al. [Hyperspectral imaging of gastrointestinal anastomoses]. Chirurg. 2018 Apr 10;
  • Gaebel J, Oeser A, Müller J, Schreiber E, Oeltze-Jafra S. Probabilistic Patient Modeling for Therapeutic Decision Support in Oncology. 2018 Mar 24.
  • Oeser A, Gaebel J, Müller J, Franke S. Design Concept of an Information System for the Intuitive Assessment of Laboratory Findings. In: Proceedings of the 2017 Workshop on Visual Analytics in Healthcare (VAHC 2018). San Francisco, CA; 2018.
  • Golatowski F, Janss A, Leucker M, Neumuth T. OR.NET – secure dynamic networks in the operating room and clinic. Biomedical Engineering / Biomedizinische Technik [Internet]. 2018 Feb 23 [cited 2018 Sept 6];63(1):1–3. Available from: http://www.degruyter.com/view/j/bmte.2018.63.issue-1/bmt-2018-0004/bmt-2018-0004.xml
  • Black D, Unger M, Fischer N, Kikinis R, Hahn H, Neumuth T, et al. Auditory display as feedback for a novel eye-tracking system for sterile operating room interaction. Int J Comput Assist Radiol Surg. 2018 Jan;13(1):37–45.
  • Fuchs R, Mrongowius J, Reske AW, Neumuth T, Salz P. Electrical Impedance Tomography for ventilation delay analysis. In: CURAC 2018 Tagungsband [Internet]. Leipzig; 2018 [cited 2018 Oct 23]. p. 192–4. (1; vol. 1). Available from: https://curac.org/images/advportfoliopro/images/CURAC2018/CURAC%202018%20Tagungsband.pdf
  • Landeck T, Prägler S, Salz P, Mrongowius J, Reske AW, Neumuth T, et al. One-lung ventilation and Pneumothorax detection using Electrical Impedance Tomography: a preliminary study report. In: CURAC 2018 Tagungsband [Internet]. Leipzig; 2018 [cited 2018 Oct 23]. p. 189–91. Available from: https://curac.org/images/advportfoliopro/images/CURAC2018/CURAC%202018%20Tagungsband.pdf
  • Mrongowius J, Reske AW, Neumuth T, Salz P. Electrical Impedance Tomography Lung Imaging with partial access to the thorax: A simulation study. In: CURAC 2018Tagungsband [Internet]. Leipzig; 2018 [cited 2018 Oct 23]. p. 40–2. Available from: https://curac.org/images/advportfoliopro/images/CURAC2018/CURAC%202018%20Tagungsband.pdf
  • Gibaud B, Forestier G, Feldmann C, Ferrigno G, Gonçalves P, Haidegger T, et al. Toward a standard ontology of surgical process models. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2018 [cited 2018 Sept 6];13(9):1397–408. Available from: http://link.springer.com/10.1007/s11548-018-1824-5
  • Rathmann P, Chalopin C, Halama D, Giri P, Meixensberger J, Lindner D. Dynamic infrared thermography (DIRT) for assessment of skin blood perfusion in cranioplasty: a proof of concept for qualitative comparison with the standard indocyanine green video angiography (ICGA). International Journal of Computer Assisted Radiology and Surgery [Internet]. 2018 [cited 2018 Sept 25];13(3):479–90. Available from: http://link.springer.com/10.1007/s11548-017-1683-5
  • Meuschke M, Oeltze-Jafra S, Beuing O, Preim B, Lawonn K. Classification of Blood Flow Patterns in Cerebral Aneurysms. IEEE Transactions on Visualization and Computer Graphics (TVCG). 2018;
  • Czauderna T, Haga J, Kim J, Klapperstück M, Klein K, Kuhlen T, et al. Immersive Analytics Applications in Life and Health Sciences. In: Marriott K, Schreiber F, Dwyer T, Klein K, Riche NH, Itoh T, et al., editors. Immersive Analytics [Internet]. Cham: Springer International Publishing; 2018 [cited 2024 Jan 29]. p. 289–330. Available from: http://link.springer.com/10.1007/978-3-030-01388-2_10
  • Neumuth T. Patient specific model guided therapy. Keynote lecture presented at; 2018.
  • Hempel G, Simon P, Salz P, Wrigge H. Respiratorisches Versagen: Innovationen zur Diagnostik und Therapie. Anästhesiol Intensivmed Notfallmed Schmerzther. 2018;53(02):126–40.
  • Zhang X, Landgraf L, Patties I, Hu S, McLeod D, Fournelle M, et al. Ultrasound-induced hyperthermia - radiosensitization in glioblastoma, prostate and head and neck cancer: preliminary studies. 2018.
  • Berger J, Unger M, Keller J, Bieck R, Landgraf L, Neumuth T, et al. Natural User Interaction for Collaborative Robot-Assisted Needle Targeting. 2018.
  • Zhang X, Landgraf L, Unger M, Roy U, Patties I, McLeod D, et al. Focused ultrasound-induced hyperthermia and radiation therapy for combined treatment of brain and prostate cancer cells in vitro. In Seoul, Korea; 2018.
  • Zhang X, Landgraf L, Unger M, Roy U, Patties I, McLeod D, et al. Focused ultrasound-hyperthermia and radiation therapy for combined treatment of brain and prostate tumors – preliminary studies in vitro. In: FUS Foundation symposium. Reston Virginia, USA; 2018.
  • Berger J, Unger M, Landgraf L, Neumuth T, Melzer A. Towards integration of robotics for focused ultrasound (FUS) surgery and radiation therapy into the clinical treatment process. In: 26th international EAES congress. London, UK; 2018.
  • Berger J, Unger M, Landgraf L, Zhang X, Hu S, McLeod D, et al. Towards integrating robotics for combined focused ultrasound and radiation therapy into the treatment process. In Nashville, USA; 2018.
  • Berger J, Unger M, Jochimsen T, Sattler B, Roy U, Landgraf L, et al. Concepts for robot-assisted focused ultrasound to support radiation therapy. In: FUS Foundation symposium. Reston Virginia, USA; 2018.
  • Berger J, Unger M, Jochimse T, Sattler B, Landgraf L, Sabri O, et al. Approaches to support radiation therapy by robot-assisted focused ultrasound. In Seoul, Korea; 2018.
  • Lenhardt M. Development of a workflow for additive manufacturing of realistic bloodstream models. 2018.
  • Graebling N. Generierung und Verwendung künstlicher Trainingsdaten für CNNs zur Erkennung von Operationsinstrumenten. 2018.
  • Unger C. Structured Collection of Patient Data for Decision Support Systems by the Example of a Probabilistic-Graphical Model for Laryngeal Cancer Therapy. 2018.
  • Brandt K. Graphenbasierte Visuelle Analyse von Qualitätsberichten der Krankenhäuser. 2018.
  • Lang N. Eine intraoperative Planungs- und Navigationssoftware für Kraniotomien unter der Verwendung eines Auditory Displays. 2018.
  • Girrbach FF, Hilbig F, Michael M, Bernhard M. Systematic analysis of airway registries in emergency medicine. Anaesthesist. 2018;67(9):664–73.
  • Jansen-Winkeln B, Holfert N, Takoh J, Rabe S, Köhler H, Maktabi M, et al. Überprüfung der chirurgischen Resektionsgrenze bei Kolonresektionen mittels Hyperspektralkamera. Zeitschrift für Gastroenterologie [Internet]. 2018 [cited 2018 Oct 24];56(08):e225–e225. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1668714
  • Mehdorn M, Rabe S, Köhler H, Maktabi M, Takoh J, Neumuth T, et al. Intraoperative Beurteilung grenzwertig perfundierten Darms im Rahmen der akuten Mesenterialischämie mittels Hyperspektralbildgebung: Eine Falldarstellung. Zeitschrift für Gastroenterologie [Internet]. 2018 [cited 2018 Oct 24];56(08):e224–e224. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1668713
  • Rabe S, Köhler H, Maktabi M, Barberio M, Takoh J, Rayes N, et al. Intraoperative Gewebe-Charakterisierung und Klassifikation mittels Hyperspektralbildgebung: Erste Ergebnisse. Zeitschrift für Gastroenterologie [Internet]. 2018 [cited 2018 Oct 24];56(08):e223–e223. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1668711
  • Pirlich M, Weber-Chüo T, Rockstroh M, Dietz A, Neumuth T, Hofer M. Clinical study on qualitative and quantitative evaluation of OR.NET – an integrated operating room of the future. In Musik- und Kongresshalle (MuK) Lübeck; 2018 [cited 2018 Nov 2]. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1639870
  • Franke S, Rockstroh M, Kasparick M, Neumuth T. A Method for the Context-Aware Assignment of Medical Device Functions to Input Devices in Integrated Operating Rooms. In: Stoyanov D, Taylor Z, Sarikaya D, McLeod J, González Ballester MA, Codella NCF, et al., editors. OR 20 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis [Internet]. Cham: Springer International Publishing; 2018 [cited 2018 Nov 2]. p. 12–9. Available from: http://link.springer.com/10.1007/978-3-030-01201-4_2
  • Berger J, Unger M, Keller J, Bieck R, Landgraf L, Neumuth T, et al. Kollaborative Interaktion für die roboterassistierte ultraschallgeführte Biopsie. In: CURAC Tagungsband. 2018.
  • Berger J, Unger M, Landgraf L, Bieck R, Neumuth T, Melzer A. Assessment of Natural User Interactions for Robot-Assisted Interventions. In: Current Directions in Biomedical Engineering. 2018.
  • Gaebel J, Schreiber E, Oeser A, Oeltze-Jafra S. Modular Architecture for Integrated Model-Based Decision Support. Stud Health Technol Inform. 2018;248:108–15.
  • Neumuth T, Franke S. Clear oxygen-level forecasts during anaesthesia. Nature Biomedical Engineering [Internet]. 2018 Oktober;2(10):715–6. Available from: https://doi.org/10.1038/s41551-018-0313-z
  • Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, Arlt F, Ituna-Yudonago JF, Chalopin C. Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2018 [cited 2018 Sept 25];13(3):331–42. Available from: http://link.springer.com/10.1007/s11548-018-1703-0
  • Berger J, Unger M, Landgraf L, Bieck R, Neumuth T, Melzer A. Assessment of Natural User Interactions for Robot-Assisted Interventions. Current Directions in Biomedical Engineering [Internet]. 2018 [cited 2018 Sept 24];4(1):165–8. Available from: https://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0041/cdbme-2018-0041.xml
  • Franke S, Rockstroh M, Hofer M, Neumuth T. The intelligent OR: design and validation of a context-aware surgical working environment. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2018 [cited 2018 Sept 6];13(8):1301–8. Available from: http://link.springer.com/10.1007/s11548-018-1791-x
  • Gaebel J, Wu HG, Oeser A, Schreiber E, Oeltze-Jafra S. Modular Architecture for Integrated Model-Based Decision Support. In: 12th Annual Conference on Health Informatics meets eHealth. 2018. p. accepted.

Publications from 2017

  • Schwenke M, Strehlow J, Demedts D, Haase S, Barrios Romero D, Rothluebbers S, et al. A focused ultrasound treatment system for moving targets (part I): Generic system design and in-silico first-stage evaluation. 2017 Dec 1;5.
  • Nestler C, Simon P, Petroff D, Hammermüller S, Kamrath D, Wolf S, et al. Individualized positive end-expiratory pressure in obese patients during general anaesthesia: a randomized controlled clinical trial using electrical impedance tomography. Br J Anaesth. 2017 Dec 1;119(6):1194–205.
  • Reske AW, Schwarzkopf P, Petroff D, Wiegel M. Reply to Dr Stimpson et al. Reg Anesth Pain Med. 2017 Dec;42(6):796–7.
  • Mihcin S, Karakitsios I, Le N, Strehlow J, Demedts D, Schwenke M, et al. Methodology on quantification of sonication duration for safe application of MR guided focused ultrasound for liver tumour ablation. Comput Methods Programs Biomed. 2017 Dec;152:125–30.
  • Unger M, Landgraf L, Berger J, Zhang X, Xu D, Neumuth T, et al. Concept for integrating a MR-compatible robotic arm into the clinical infrastructure. In Leipzig, Germany; 2017.
  • Westphal P, Hilbert S, Unger M, Chalopin C. Development of a tool-kit for the detection of healthy and injured cardiac tissue based on MR imaging: Software tool for the visualization of injured cardiac tissue. Current Directions in Biomedical Engineering [Internet]. 2017 Sept 7 [cited 2021 May 3];3(2):195–8. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2017-0041/html
  • Cedra S, Wiegand S, Kolb M, Dietz A, Wichmann G. Reduced Cytokine Release in Ex Vivo Response to Cilengitide and Cetuximab Is a Marker for Improved Survival of Head and Neck Cancer Patients. Cancers (Basel). 2017 Sept 5;9(9).
  • Siefert J, Hillebrandt KH, Kluge M, Geisel D, Podrabsky P, Denecke T, et al. Computed tomography-based survey of the vascular anatomy of the juvenile Göttingen minipig. Lab Anim. 2017 Aug;51(4):388–96.
  • LAS VEGAS investigators. Epidemiology, practice of ventilation and outcome for patients at increased risk of postoperative pulmonary complications: LAS VEGAS - an observational study in 29 countries. Eur J Anaesthesiol. 2017 Aug;34(8):492–507.
  • Rockstroh M, Franke S, Hofer M, Will A, Kasparick M, Andersen B, et al. OR.NET: multi-perspective qualitative evaluation of an integrated operating room based on IEEE 11073 SDC. Int J Comput Assist Radiol Surg. 2017 Aug;12(8):1461–9.
  • Landgraf L, Nordmeyer D, Schmiel P, Gao Q, Ritz S, S Gebauer J, et al. Validation of weak biological effects by round robin experiments: cytotoxicity/biocompatibility of SiO2 and polymer nanoparticles in HepG2 cells. Sci Rep. 2017 June 28;7(1):4341.
  • Schreiber E. IHE Work Items at ICCAS. Invited Talk presented at; 2017 June 24.
  • Schreiber E, Franke S, Neumuth T. Intraoperative Prioritization and Consistent Presentation of Clinical Information. In: CARS 2017 Proceedings, Supplement of the International Journal of CARS. Barcelona; 2017.
  • Zebralla V, Müller J, Wiegand S, Neumuth T, Oeltze-Jafra S. Weiterentwicklung von OncoFunction – Tumornachsorge 2.0. In Hannover; 2017.
  • Wiegel M, Moriggl B, Schwarzkopf P, Petroff D, Reske AW. Anterior Suprascapular Nerve Block Versus Interscalene Brachial Plexus Block for Shoulder Surgery in the Outpatient Setting: A Randomized Controlled Patient- and Assessor-Blinded Trial. Reg Anesth Pain Med. 2017 June;42(3):310–8.
  • McLeod H, Cox BF, Robertson J, Duncan R, Matthew S, Bhat R, et al. Human Thiel-Embalmed Cadaveric Aortic Model with Perfusion for Endovascular Intervention Training and Medical Device Evaluation. CardioVascular and Interventional Radiology [Internet]. 2017 Apr 27 [cited 2017 May 31]; Available from: http://link.springer.com/10.1007/s00270-017-1643-z
  • Ilunga-Mbuyamba E, Lindner D, Avina-Cervantes J, Arlt F, Rostro-Gonzalez H, Cruz-Aceves I, et al. Fusion of Intraoperative 3D B-mode and Contrast-Enhanced Ultrasound Data for Automatic Identification of Residual Brain Tumors. Applied Sciences [Internet]. 2017 Apr 19 [cited 2021 May 3];7(4):415. Available from: http://www.mdpi.com/2076-3417/7/4/415
  • Beda A, Carvalho AR, Carvalho NC, Hammermüller S, Amato MBP, Muders T, et al. Mapping Regional Differences of Local Pressure-Volume Curves With Electrical Impedance Tomography. Crit Care Med. 2017 Apr;45(4):679–86.
  • Cypko MA, Gabel J, Stoehr M, Dietz A, Melzer A, Lemke HU, et al. Therapy Decision Support System using Bayesian Networks with an example of Laryngeal Cancer. In: Institute for Translational Medicine & Therapeutics Meeting. Edinburgh; 2017.
  • Schreiber E. Medical device interoperability: Use cases, benefits and next steps. Invited Talk presented at; 2017 Feb 21.
  • Schreiber E. Consistent and Prioritized Presentation of Surgical Information. Invited Talk presented at; 2017 Feb 14.
  • Pirlich M, Tittmann M, Franz D, Dietz A, Hofer M. An observational, prospective study to evaluate the preoperative planning tool “CI-Wizard” for cochlear implant surgery. Eur Arch Otorhinolaryngol. 2017 Feb;274(2):685–94.
  • Maktabi M, Neumuth T. Online time and resource management based on surgical workflow time series analysis. Int J Comput Assist Radiol Surg. 2017 Feb;12(2):325–38.
  • Maktabi M, Chalopin C, Wahl P, Neumuth T. Session 20. Hyperspectral imaging and optical techniques in medicine. Biomedical Engineering / Biomedizinische Technik [Internet]. 2017 Jan 28 [cited 2021 May 3];62(s1). Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2017-5019/html
  • Mihcin S, Strehlow J, Demedts D, Schwenke M, Levy Y, Melzer A. Evidence-based cross validation for acoustic power transmission for a novel treatment system. Minimally Invasive Therapy & Allied Technologies [Internet]. 2017 Jan 13 [cited 2017 Jan 16];1–14. Available from: https://www.tandfonline.com/doi/full/10.1080/13645706.2016.1273836
  • Müller J, Zebralla V, Wiegand S, Oeltze-Jafra S. Interactive Visualization of Functional Aspects in Head and Neck Cancer Aftercare. In Phoenix, Arizona; 2017.
  • Bellani G, Laffey JG, Pham T, Madotto F, Fan E, Brochard L, et al. Noninvasive Ventilation of Patients with Acute Respiratory Distress Syndrome. Insights from the LUNG SAFE Study. Am J Respir Crit Care Med. 2017 Jan 1;195(1):67–77.
  • Girrbach FF, Bernhard M, Wessel M, Gries A, Bercker S. [Practical training for paramedics : Transformation at the Leipzig University teaching hospital]. Anaesthesist. 2017 Jan;66(1):45–51.
  • Cypko MA, Oeltze-Jafra S, Stoehr M, Dietz A, Berliner L, Lemke HU. Quality Management of Therapy Decision Models based on Bayesian Networks. In: Proceeding of the 31st Conference for Comput Assist Radiol Surg. 2017.
  • Wiemuth M, Junger D, Leitritz MA, Neumann J, Neumuth T, Burgert O. Application fields for the new Object Management Group (OMG) Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN) in the perioperative field. Int J Comput Assist Radiol Surg. 2017;12(8):1439–49.
  • Neumann J, Wiemuth M, Burgert O, Neumuth T. Application of activity semantics and BPMN 2.0 in the generation and modeling of generic surgical process models. In: Submitted. Barcelona; 2017.
  • Kasparick M, Schmitz M, Andersen B, Rockstroh M, Franke S, Schlichting S, et al. OR.NET: A Service-Oriented Architecture for Safe and Dynamic Medical Device Interoperability. Biomedical Engineering / Biomedizinische Technik. 2017;
  • Andersen B, Kasparick M, Ulrich H, Franke S, Schlamelcher J, Rockstroh M, et al. Connecting the Clinical IT Infrastructure to a Service-Oriented Architecture of Medical Devices. Biomedical Engineering / Biomedizinische Technik. 2017;(under review).
  • Munz E, Rolletschek H, Oeltze‐Jafra S, Fuchs J, Guendel A, Neuberger T, et al. A functional imaging study of germinating oilseed rape seed. New Phytol [Internet]. 2017 [cited 2021 May 3];216(4):1181–90. Available from: https://onlinelibrary.wiley.com/doi/10.1111/nph.14736
  • Ilunga–Mbuyamba E, Avina–Cervantes JG, Cepeda–Negrete J, Ibarra–Manzano MA, Chalopin C. Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation. Computers in Biology and Medicine [Internet]. 2017 [cited 2021 May 3];91:69–79. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0010482517303232
  • Ilunga-Mbuyamba E, Avina–Cervantes JG, Garcia–Perez A, Romero–Troncoso R de J, Aguirre–Ramos H, Cruz–Aceves I, et al. Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation. Neurocomputing [Internet]. 2017 [cited 2021 May 3];220:84–97. Available from: https://linkinghub.elsevier.com/retrieve/pii/S092523121630902X
  • Dietz A, Wichmann G, Wiegand S. Should We De-escalate the Treatment for HPV-Positive Tumors? Recent Results Cancer Res. 2017;206:173–81.
  • Gaebel J, Cypko MA, Oeltze-Jafra S. Considering Information Up-to-Dateness to Increase the Accuracy of Therapy Decision Support Systems. Stud Health Technol Inform. 2017;243:217–21.
  • Schreiber E, Franke S, Neumuth T. Intraoperative prioritization and consistent presentation of clinical information. Int J Comput Assist Radiol Surg. 2017;12(S1):47–8.
  • Neumuth T. Model-based therapy. Biomed Tech (Berl). 2017;62(S1):464–8.
  • Maktabi M, Chalopin C, Wahl P, Neumuth T. Measurement of moisture at skin surface based on hyperspectral technology. Biomed Tech (Berl). 2017;62(S1):71–4.
  • Maktabi M, Birnbaum K, Oeser A, Neumuth T. Situation-dependent medical device risk estimation: Design and Evaluation of an equipment management center for vendor-independent integrated operating rooms. J Patient Saf. 2017;in print.
  • Bieck R, Kraus G, Georgi C, Neumuth T. Towards standardized surgical robotics interoperability for intraoperative assistance systems. Biomed Tech (Berl). 2017;62(S1):27–31.
  • Gaebel J, Cypko MA, Oeltze-Jafra S. Considering Information Up-to-dateness to Increase the Accuracy of Therapy Decision Support Systems. In Oldenburg; 2017.
  • Neumuth T. The European Modular Field Hospital: Herausforderungen für IT beim Einsatz mobiler Krankenhäuser nach Naturkatastrophen. In: 62 Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e V (GMDS). Oldenburg: German Medical Science GMS Publishing House; 2017. p. 112.
  • Cypko M, Stoehr M, Oeltze-Jafra S, Dietz A, Lemke HU. Guided Expert Modeling of Clinical Bayesian Network Decision Graphs. In: Proc of Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC). 2017.
  • Saalfeld P, Oeltze-Jafra S, Saalfeld S, Preim U, Beuing O, Preim B. Sketching and Annotating Vascular Structures to Support Medical Teaching, Treatment Planning and Patient Education. In: EG 2017 - Dirk Bartz Prize. The Eurographics Association; 2017.
  • Schreiber E, Franke S, Neumuth T. Intraoperative Prioritization and Consistent Presentation of Clinical Information. In: International Journal of Computer Assisted Radiology and Surgery. Barcelona, Spain; 2017.
  • Saleh K, Stucke S, Uciteli A, Faulbrück-Röhr S, Neumann J, Tahar K, et al. Using Fast Healthcare Interoperability Resources (FHIR) for the Integration of Risk Minimization Systems in Hospitals. In: Proc of the 16th World Congress on Medical and Health Informatics. Hangzhou, China; 2017.
  • Gaebel J, Cypko MA, Oeltze-Jafra S. Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support. In: MedInfo 2017, Status: submitted. 2017.

Publications from 2016

  • Karakitsios I, Joy J, Mihcin S, Melzer A. Acoustic characterization of Thiel liver for magnetic resonance-guided focused ultrasound treatment. Minimally Invasive Therapy & Allied Technologies [Internet]. 2016 Oct 27 [cited 2016 Nov 14];1–16. Available from: https://www.tandfonline.com/doi/full/10.1080/13645706.2016.1253589
  • Unger M, Franke A, Chalopin C. Automatic depth scanning system for 3D infrared thermography. Current Directions in Biomedical Engineering [Internet]. 2016 Sept 1 [cited 2021 May 3];2(1):369–72. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2016-0162/html
  • Heckel F, Schlamelcher J, Rotermund H, Rockstroh M, Zidowitz S, Neumuth T. A service for monitoring the quality of intraoperative cone beam CT images. Current Directions in Biomedical Engineering [Internet]. 2016 Sept 1 [cited 2021 May 3];2(1):373–7. Available from: https://www.degruyter.com/document/doi/10.1515/cdbme-2016-0161/html
  • Karaiskakis P, Bromba M, Dietz A, Sand M, Dacho A. Reconstruction of nasal tip support in primary, open approach septorhinoplasty : A retrospective analysis between the tongue-in-groove technique and the columellar strut. Eur Arch Otorhinolaryngol. 2016 Sept;273(9):2555–60.
  • Just M, Chalopin C, Unger M, Halama D, Neumuth T, Dietz A, et al. Monitoring of microvascular free flaps following oropharyngeal reconstruction using infrared thermography: first clinical experiences. Eur Arch Otorhinolaryngol. 2016 Sept;273(9):2659–67.
  • Fernández Gutiérrez F, Wolska-Krawczyk M, Buecker A, Houston J, Melzer A. Workflow optimisation for multimodal imaging procedures: a case of combined X-ray and MRI-guided TACE. 2016 Aug 26;
  • Xiao X, Huang Z, Rube M, Melzer A. Investigation of active tracking for robotic arm assisted magnetic resonance guided focused ultrasound ablation: Active tracking for robotic arm assisted MRgFUS. 2016 Aug 1;
  • Tanner C, Zur Y, French K, Samei G, Strehlow J, Sat G, et al. In vivo validation of spatio-temporal liver motion prediction from motion tracked on MR thermometry images. Int J Comput Assist Radiol Surg. 2016 June;11(6):1143–52.
  • Franke A. Entwicklung und Evaluation eines 3D-thermographischen Modellierungssystems [Masterarbeit]. [Ilmenau]: Technische Universität Ilmenau; 2016.
  • Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, Cruz-Aceves I, Arlt F, Chalopin C. Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. Sensors (Basel). 2016 Apr 8;16(4).
  • Arlt F, Chalopin C, Müns A, Meixensberger J, Lindner D. Intraoperative 3D contrast-enhanced ultrasound (CEUS): a prospective study of 50 patients with brain tumours. Acta Neurochir (Wien). 2016 Apr;158(4):685–94.
  • Heckel F, Arlt F, Geisler B, Zidowitz S, Neumuth T. Evaluation of image quality of MRI data for brain tumor surgery. In: Abbey CK, Kupinski MA, editors. San Diego, California, United States; 2016 [cited 2021 May 3]. p. 97871L. Available from: http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2214944
  • Glaser B, Schellenberg T, Koch L, Hofer M, Modemann S, Dubach P, et al. Design and evaluation of an interactive training system for scrub nurses. Int J CARS [Internet]. 2016 Feb 12 [cited 2016 Feb 15];1–10. Available from: http://link.springer.com/article/10.1007/s11548-016-1356-9
  • Karakitsios I, Mihcin S, Saliev T, Melzer A. Feasibility study of pre-clinical Thiel embalmed human cadaver for MR-guided focused ultrasound of the spine. 2016 Jan 26;
  • Loeve A, Al-Issawi J, Fernández Gutiérrez F, Langø T, Strehlow J, Haase S, et al. Workflow and Intervention Times of MR-guided Focused Ultrasound – predicting the impact of new techniques. 2016 Jan 15;60.
  • Rockstroh M, Wittig M, Franke S, Meixensberger J, Neumuth T. Video-based detection of device interaction in the operating room. Biomedical Engineering / Biomedizinische Technik [Internet]. 2016 Jan 1 [cited 2016 Oct 21];61(5). Available from: http://www.degruyter.com/view/j/bmte.2016.61.issue-5/bmt-2015-0008/bmt-2015-0008.xml
  • Oeltze-Jafra S, Cebral JR, Janiga G, Preim B. Cluster Analysis of Vortical Flow in Simulations of Cerebral Aneurysm Hemodynamics. IEEE Trans Vis Comput Graph. 2016 Jan;22(1):757–66.
  • Noack T, Mohr FW. Operative Techniken bei Mitralklappenerkrankungen: Rekonstruktion und/oder Ersatz. Herz [Internet]. 2016 [cited 2016 Dec 7];41(1):10–8. Available from: http://link.springer.com/10.1007/s00059-015-4385-1
  • Yom SS, Ganti AK, Dietz A. What’s New in Head and Neck Cancer: Key Findings in 2015-2016 From ECCO/ESMO, ASTRO, and the Multidisciplinary Head and Neck Cancer Symposium. Am Soc Clin Oncol Educ Book. 2016;35:176–83.
  • Neitsch M, Horn IS, Hofer M, Dietz A, Fischer M. Integrated Multipoint-Laser Endoscopic Airway Measurements by Transoral Approach. Biomed Res Int. 2016;2016:6838697.
  • Kostareli E, Hielscher T, Zucknick M, Baboci L, Wichmann G, Holzinger D, et al. Gene promoter methylation signature predicts survival of head and neck squamous cell carcinoma patients. Epigenetics. 2016;11(1):61–73.
  • Maktabi M, Neumuth T. Online Medical Device Use Prediction: Assessment of Accuracy. Stud Health Technol Inform. 2016;228:557–61.
  • Ilunga-Mbuyamba E, Cruz-Duarte JM, Avina-Cervantes JG, Correa-Cely CR, Lindner D, Chalopin C. Active contours driven by Cuckoo Search strategy for brain tumour images segmentation. Expert Systems with Applications [Internet]. 2016 [cited 2021 May 3];56:59–68. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0957417416300872
  • Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, Guerrero-Turrubiates J, Chalopin C. Automatic brain tumor tissue detection based on hierarchical centroid shape descriptor in Tl-weighted MR images. In: 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP) [Internet]. Cholula: IEEE; 2016 [cited 2021 May 3]. p. 62–7. Available from: http://ieeexplore.ieee.org/document/7438553/
  • International Conference on Electronics C and C, Guevara E, CONIELECOMP, International Conference on Electronics C and C. 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP) date: 24-26 Feb. 2016 [Internet]. 2016 [cited 2021 May 3]. Available from: http://ieeexplore.ieee.org/servlet/opac?punumber=7434514
  • Gaebel J, Cypko MA, Lemke HU. Accessing Patient Information for Probabilistic Patient Models Using Existing Standards. Stud Health Technol Inform. 2016;223:107–12.
  • Deng Y, Gaebel J, Denecke K. Patient Centered Event Representation for the Treatment of Multifactorial Diseases: Current Progress and Challenges. Stud Health Technol Inform. 2016;228:110–4.
  • Schreiber E, Franke S, Bieck R, Neumuth T. A Concept for Consistent and Prioritized Presentation of Surgical Information. In: IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). Munich, Germany; 2016.
  • Neumann J, Schreiber E, Neumuth T. Ontology-based surgical process modeling by using SNOMED CT concepts and concept model attributes. In: 30th International Conference on Computer Assisted Radiology and Surgery (CARS). Heidelberg, Germany; 2016. p. 66–8. (Supplement 1; vol. 11).
  • Neumann J, Rockstroh M, Franke S, Neumuth T. BPMNSIX – A BPMN 2.0 Surgical Intervention Extension. In: 7th Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI) - 19th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2016). Athens, Greece; 2016.
  • Neumann J, Franke S, Glaser B, Schreiber E, Bieck R, Neumuth T. Ontology-based instrument classification for workflow-driven surgical assistance in the intelligent operating room. In: Proc of the 28th Conference of the international Society for Medical Innovation and Technology (SMIT). Delft, Netherlands; 2016.
  • Uciteli A, Neumann J, Tahar K, Saleh K, Stucke S, Faulbrück-Röhr S, et al. Risk Identification Ontology (RIO): An ontology for specification and identification of perioperative risks. In: Proceedings of the 7th Workshop on Ontologies and Data in Life Sciences (ODLS) [Internet]. Halle (Saale): CEUR-WS.org; 2016. p. 1613–0073. Available from: http://ceur-ws.org/Vol-1692/paperG.pdf
  • Schreiber E, Franke S, Bieck R, Neumann J, Neumuth T. Intraoperative process model generation using XMS and ISO/IEEE 11073. In: Proc of the 28th Conference of the international Society for Medical Innovation and Technology (SMIT). Delft, Netherlands; 2016.
  • Franke S, Rockstroh M, Schreiber E, Neumann J, Neumuth T. Towards the intelligent OR - Implementation of distributed, context-aware automation in an integrated surgical working environment. In: 7th Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI). Athens, Greece; 2016.
  • Franke S, Rockstroh M, Schreiber E, Neumann J, Neumuth T. Context-aware medical assistance systems in integrated surgical environments. In: Proc of the 28th Conference of the international Society for Medical Innovation and Technology (SMIT). Delft, Netherlands; 2016.
  • Bieck R, Franke S, Schreiber E, Neumann J, Neumuth T. Situation-Based Extraction of Medical Device Activity for Adaptive OR Task Management. In: Proc of the 28th Conference of the international Society for Medical Innovation and Technology (SMIT). Delft, Netherlands; 2016.
  • Dietz A. Functional Organ Preservation in Larynx Cancer: A Continuing Debate. J Oncol Pract. 2016;12 (8):727–8.
  • Berger J. Entwicklung und Evaluation eines mobilen Augmented-Reality-basierten Assistenzsystems für die Modell-gestützte externe Ventrikelpunktion. 2016.
  • Schadt A. Echtzeitdaten aus einem vernetzten OP als ärztliche Dokumentation. 2016.
  • Metzig M. Analyse des Triageprozesses unter dem Gesichtspunkt des Lean-Managements. 2016.
  • Georgi Ch. Visualisierung der Kommunikation in einem dezentralen Netzwerk mittels Portmirroring am Bsp. des OSC-Protokolls. 2016.
  • Vinz S. Development and Evaluation of a Rapid Prototyping Framework for Medical Queries. 2016.
  • Kaiser M. Fusion of Interventional Ultrasound & X-Ray. 2016.
  • Saalfeld P, Stojnic A, Preim B, Oeltze-Jafra S. Semi-Immersive 3D Sketching of Vascular Structures for Medical Education. In The Eurographics Association; 2016 [cited 2016 Nov 17]. Available from: https://doi.org/10.2312/vcbm.20161280
  • Franke A. Entwicklung und Evaluation eines 3D-thermographischen Modellierungssystems. 2016.
  • Preim B, Klemm P, Hauser H, Hegenscheid K, Oeltze S, Toennies K, et al. Visual Analytics of Image-Centric Cohort Studies in Epidemiology. In: Linsen L, Hamann B, Hege HC, editors. Visualization in Medicine and Life Sciences III [Internet]. Cham: Springer International Publishing; 2016 [cited 2016 July 14]. p. 221–48. Available from: http://link.springer.com/10.1007/978-3-319-24523-2_10
  • Marianne M, Thomas N. Online Medical Device Use Prediction: Assessment of Accuracy. Studies in Health Technology and Informatics [Internet]. 2016 [cited 2016 Oct 21];557–61. Available from: http://www.medra.org/servlet/aliasResolver?alias=iospressISBN&isbn=978-1-61499-677-4&spage=557&doi=10.3233/978-1-61499-678-1-557
  • Heckel F, Zidowitz S, Neumuth T, Tittmann M, Pirlich M, Hofer M. Influence of Image Quality on Semi-Automatic 3D Reconstructions of the Lateral Skull Base for Cochlear Implantation. In: Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC). 2016.
  • Evaluierung der Infrarot-Thermographie beim Pricktest im Rahmen der Allergiediagnostik. Kongress presented at; 2016 07.05.
  • Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, Guerrero-Turrubiates J, Chalopin C. Automatic brain tumor tissue detection based on hierarchical centroid shape descriptor in T1-weighted MR images. In Cholula Puebla, Mexico; 2016. p. 62–7.

Publications from 2015

  • Pankau T, Wichmann G, Neumuth T, Preim B, Dietz A, Stumpp P, et al. 3D model-based documentation with the Tumor Therapy Manager (TTM) improves TNM staging of head and neck tumor patients. Int J Comput Assist Radiol Surg. 2015 Oct;10(10):1617–24.
  • Strehlow J, Xiao X, Domschke M, Schwenke M, Karakitsios I, Mihcin S, et al. US-tracked steered FUS in a respiratory ex vivo ovine liver phantom. 2015 Sept 1;1.
  • Foldyna B, Jungert C, Luecke C, von Aspern K, Boehmer-Lasthaus S, Rueth EM, et al. CT evaluation prior to transapical aortic valve replacement: semi-automatic versus manual image segmentation. Int J Cardiovasc Imaging. 2015 Aug;31(6):1233–42.
  • Clogenson HCM, van Lith JY, Dankelman J, Melzer A, van den Dobbelsteen JJ. Multi-selective catheter for MR-guided endovascular interventions. Med Eng Phys. 2015 July;37(7):623–30.
  • Karakitsios I, Rube M, Dogadkin O, Mihcin S, Saliev T, Melzer A. PRF thermometry during MR-guided focused ultrasound ablation in a preclinical thiel model. 2015 June 30;3(Suppl 1).
  • Schmitz PM, Gollnick I, Modemann S, Rothe A, Niegsch R, Strauss G. An Improved Instrument Table for Use in Functional Endoscopic Sinus Surgery. Med Sci Monit Basic Res. 2015 June 22;21:131–4.
  • Strehlow J, Xiao X, Schwenke M, Karakitsios I, Domschke M, Mihcin S, et al. Ultrasound tracked motion compensated focused ultrasound system evaluated on ex vivo ovine livers. 2015 June 1;3.
  • Preusser T, Bezzi M, Jenne J, Langø T, Levy Y, Mueller M, et al. TRANS-FUSIMO -- clinical translation of patient specific planning and conduction of FUS treatment in moving organs. 2015 June 1;3.
  • Xu D, Wang L, Cochran S, Melzer A. Targeted drug delivery with modified gamma-Cyclodextrin nanocarriers and MR-guided focused ultrasound triggering. 2015 June 1;3.
  • Joy J, Yang Y, Karakitsios I, Eisma R, Purdie C, Melzer A, et al. Soft-embalmed human breast tissue as a model for pre-clinical trials of HIFU - preliminary results. 2015 June 1;3.
  • Xiao X, Domschke M, Cox B, Mcleod H, Karakitsios I, Melzer A. Ex vivo ovine liver model simulating respiratory motion and blood perfusion for validating image-guided HIFU systems. 2015 June 1;3.
  • Rube MA, Holbrook AB, Cox BF, Buciuc R, Melzer A. Wireless mobile technology to improve workflow and feasibility of MR-guided percutaneous interventions. Int J Comput Assist Radiol Surg. 2015 May;10(5):665–76.
  • Franke S, Meixensberger J, Neumuth T. Multi-perspective workflow modeling for online surgical situation models. J Biomed Inform. 2015 Apr;54:158–66.
  • Fähnrich C, Denecke K, Adeoye OO, Benzler J, Claus H, Kirchner G, et al. Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveill. 2015 Mar 26;20(12).
  • Glaser B, Dänzer S, Neumuth T. Intra-operative surgical instrument usage detection on a multi-sensor table. Int J Comput Assist Radiol Surg. 2015 Mar;10(3):351–62.
  • Schumann S, Bühligen U, Neumuth T. Outcome quality assessment by surgical process compliance measures in laparoscopic surgery. Artif Intell Med. 2015 Feb;63(2):85–90.
  • Machno A, Jannin P, Dameron O, Korb W, Scheuermann G, Meixensberger J. Ontology for assessment studies of human-computer-interaction in surgery. Artif Intell Med. 2015 Feb;63(2):73–84.
  • Karakitsios I, Rube M, Dogadkin O, Mihcin S, Saliev T, Melzer A. PRF thermometry during MR-guided focused ultrasound ablation in a preclinical thiel model. Vol. 3. 2015. 49 p.
  • Meier J, Dietz A, Boehm A, Neumuth T. Predicting treatment process steps from events. Journal of Biomedical Informatics [Internet]. 2015 [cited 2015 Mar 13];53:308–19. Available from: http://www.sciencedirect.com/science/article/pii/S1532046414002688
  • Schwenke M, Strehlow J, Haase S, Jenne J, Tanner C, Lango T, et al. An integrated model-based software for FUS in moving abdominal organs. - PubMed - NCBI. Int J Hyperthermia [Internet]. 2015 [cited 2015 Aug 10];31(3):240–50. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25786982
  • Szold A, Bergamaschi R, Broeders I, Dankelman J, Forgione A, Lango T, et al. European Association of Endoscopic Surgeons (EAES) consensus statement on the use of robotics in general surgery. - PubMed - NCBI. Surg Endosc [Internet]. 2015 [cited 2015 Aug 10];29(2):253–88. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25380708
  • Gabler C, Zietz C, Bieck R, Göhler R, Lindner T, Haenle M, et al. Quantification of Osseointegration of Plasma-Polymer Coated Titanium Alloyed Implants by means of Microcomputed Tomography versus Histomorphometry. BioMed Research International [Internet]. 2015 [cited 2015 Sept 28];2015:1–8. Available from: http://www.hindawi.com/journals/bmri/2015/103137/
  • Gourevich D, Volovick A, Dogadkin O, Wang L, Mulvana H, Medan Y, et al. In Vitro Investigation of the Individual Contributions of Ultrasound-Induced Stable and Inertial Cavitation in Targeted Drug Delivery. Ultrasound Med Biol. 2015;41(7):1853–64.
  • Denecke K, Bamidis P, Bond C, Gabarron E, Househ M, Lau AY, et al. Ethical Issues of Social Media Usage in Healthcare. Yearb Med Inform. 2015;13(10):137–47.
  • Denecke K, Deng Y. Sentiment analysis in medical settings: New opportunities and challenges. Artif Intell Med [Internet]. 2015;64(1):17–27. Available from: http://www.aiimjournal.com/article/S0933-3657(15)00029-9/abstract
  • Fernández-Gutiérrez F, Martínez S, Rube MA, Cox BF, Fatahi M, Scott-Brown KC, et al. Comparative ergonomic workflow and user experience analysis of MRI versus fluoroscopy-guided vascular interventions: an iliac angioplasty exemplar case study. Int J Comput Assist Radiol Surg. 2015;
  • Berliner L, Lemke HU, Ashamalla H, Mohanty S. Outlook and Expert Recommendations for Predictive, Preventive and Personalized Medicine and Hepatocellular Carcinoma. In: Berliner L, Lemke HU, editors. An Information Technology Framework for Predictive, Preventive and Personalised Medicine [Internet]. Cham: Springer International Publishing; 2015 [cited 2024 Jan 29]. p. 119–27. Available from: https://link.springer.com/10.1007/978-3-319-12166-6_13
  • Berliner L, Lemke HU. Design of an IT System for Hepatocellular Carcinoma. In: Berliner L, Lemke HU, editors. An Information Technology Framework for Predictive, Preventive and Personalised Medicine [Internet]. Cham: Springer International Publishing; 2015 [cited 2024 Jan 29]. p. 103–17. Available from: http://link.springer.com/10.1007/978-3-319-12166-6_12
  • Berliner L, Lemke HU. The Digital Patient Model and Model Guided Therapy. In: Berliner L, Lemke HU, editors. An Information Technology Framework for Predictive, Preventive and Personalised Medicine [Internet]. Cham: Springer International Publishing; 2015 [cited 2024 Jan 29]. p. 9–19. Available from: https://link.springer.com/10.1007/978-3-319-12166-6_2
  • Matzke C, Lindner D, Schwarz J, Classen J, Hammer N, Weise D, et al. A comparison of two surgical approaches in functional neurosurgery: individualized versus conventional stereotactic frames. Comput Aided Surg. 2015;20(1):34–40.
  • Luz M, Manzey D, Modemann S, Strauss G. Less is sometimes more: a comparison of distance-control and navigated-control concepts of image-guided navigation support for surgeons. Ergonomics. 2015;58(3):383–93.
  • Kropf S, Chalopin C, Denecke K. Template and Model Driven Development of Standardized Electronic Health Records. Stud Health Technol Inform. 2015;216:30–4.
  • Deng Y, Groll MJ, Denecke K. Rule-based Cervical Spine Defect Classification Using Medical Narratives. Stud Health Technol Inform. 2015;216:1038.
  • Cypko MA, Hirsch D, Koch L, Stoehr M, Strauss G, Denecke K. Web-tool to Support Medical Experts in Probabilistic Modelling Using Large Bayesian Networks With an Example of Hinosinusitis. Stud Health Technol Inform. 2015;216:259–63.
  • Chalopin C, Lindner D, Kropf S, Denecke K. Archetype based patient data modeling to support treatment of pituitary adenomas. Stud Health Technol Inform. 2015;216:178–82.
  • Oeser A. Conceptual development of a remote cockpit for the use in telesurgery. 2015.
  • Gaebel J, Kolter T, Arlt F, Denecke K. Extraction Of Adverse Events From Clinical Documents To Support Decision Making Using Semantic Preprocessing. In: Stud Health Technol Inform. 2015. p. 1030.
  • Gaebel J, Kolter T, Irsig K, Arlt F, Denecke K. A Knowledge-based Approach for Identifying Adverse Events in Clinical Documents. In Krefeld: German Medical Science GMS Publishing House; 2015.
  • Rockstroh M, Franke S, Neumann J, Neumuth T. Unterstützung des chirurgischen Prozesses bei Verwendung einer offenen Kommunikationsinfrastruktur am Leipziger Demonstrator. In Bremen; 2015.
  • Glaser B, Schellenberg T, Koch L, Hofer M, Modemann S, Dubach P, et al. ”Not these scissors, the other scissors.” - A multi-center study comparing surgical instrument descriptions used by scrub nurses. In: Proceedings of iOR15: 1st International Workshop on Intelligent Operating Rooms, 17th International Conference on E-health Networking, Application & Services (IEEE Healthcom 2015). Boston; 2015. p. 32–6.
  • Heckel F. Sketch-Based Interactive Segmentation and Segmentation Editing for Oncological Therapy Monitoring. [Bremen]: Jacobs University; 2015.
  • Maktabi M, Vinz S, Neumuth T. Frequency based assessment of surgical activities. Current Directions in Biomedical Engineering [Internet]. 2015 [cited 2015 Sept 29];1(1):152–6. Available from: http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0038/cdbme-2015-0038.xml
  • Franke S, Meixensberger J, Neumuth T. Multi-perspective workflow modeling for online surgical situation models. Journal of Biomedical Informatics. 2015;54:158–66.
  • Deng Y, Groll MJ, Denecke K. Rule-based Cervical Spine Defect Classification Using Medical Narratives. Studies in Health Technology and Informatics [Internet]. 2015;216:1038. Available from: http://ebooks.iospress.nl/publication/40495
  • Glaser B, Dänzer S, Neumuth T. Intra-operative surgical instrument usage detection on a multi-sensor table. Int J Comput Assist Radiol Surg [Internet]. 2015;10(3):351–62. Available from: http://link.springer.com/article/10.1007/s11548-014-1066-0
  • Kaiser M, Detert M, Rube MA, El-Tahir A, Elle OJ, Melzer A, et al. Resonant marker design and fabrication techniques for device visualization during interventional magnetic resonance imaging. - PubMed - NCBI. Biomed Tech (Berl) [Internet]. 2015 [cited 2015 Aug 10];60(2):89–103. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25460277
  • Cypko MA, Stoehr M, Denecke K. Web-based guiding of clinical experts through the modelling of treatment decision models using MEBN with an example of laryngeal cancer. Int J CARS. 2015;10(1).
  • Clogenson HC, van Lith JY, Dankelman J, Melzer A, van den Dobbelsteen JJ. Multi-selective catheter for MR-guided endovascular interventions. - PubMed - NCBI. Med Eng Phys [Internet]. 2015 [cited 2015 Aug 10];37(7):623–30. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25937614

Publications from 2014

  • Kaiser M, Detert M, Rube M, El-Tahir A, Elle O, Melzer A, et al. Resonant marker design and fabrication techniques for device visualization during interventional magnetic resonance imaging. 2014 Dec 2;60.
  • Unger M, Chalopin C, Neumuth T. Vision-based online recognition of surgical activities. Int J Comput Assist Radiol Surg. 2014 Nov;9(6):979–86.
  • Eljamel S, Volovick A, Saliev T, Eisma R, Melzer A. Evaluation of Thiel cadaveric model for MRI-guided stereotactic procedures in neurosurgery. 2014 Sept 5;5.
  • Rube M, B Holbrook A, Cox B, Buciuc R, Melzer A. Wireless Mobile Technology to Improve Workflow and Feasibility of MR-Guided Percutaneous Interventions. 2014 Sept 2;10.
  • Rube M, B Holbrook A, Cox B, Buciuc R, Melzer A. Wireless Mobile Technology to Improve Workflow and Feasibility of MR-Guided Percutaneous Interventions. Vol. 10. 2014.
  • Rube M, Fernández Gutiérrez F, Cox B, B Holbrook A, Houston J, White R, et al. Preclinical Feasibility of a Technology Framework for MRI-guided Iliac Angioplasty. 2014 Aug 8;10.
  • Daenzer S, Freitag S, von Sachsen S, Steinke H, Groll M, Meixensberger J, et al. VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI. Med Phys. 2014 Aug;41(8):082305.
  • Hansen C, Heckel F, Ojdanic D, Schenk A, Zidowitz S, Hahn HK. Genauigkeit und Fehlerquellen im Operationssaal am Beispiel der Leberchirurgie. In: Niederlag W, Lemke HU, Strauß G, Feußner H, editors. Der digitale Operationssaal [Internet]. DE GRUYTER; 2014 [cited 2024 Jan 29]. p. 69–87. Available from: https://www.degruyter.com/document/doi/10.1515/9783110335620.69/html
  • Xu D, Wang L, Gourevich D, Kabha E, Arditti F, Athamna M, et al. Synthesis and Inclusion Study of a Novel γ-Cyclodextrin Derivative as a Potential Thermo-Sensitive Carrier for Doxorubicin. 2014 July 1;62.
  • Karakitsios I, Dogadkin O, Le N, Melzer A. Measurement of proton resonance frequency shift coefficient during MR-guided focused ultrasound on Thiel embalmed tissue. 2014 July 1;74.
  • Müns A, Mühl C, Haase R, Möckel H, Chalopin C, Meixensberger J, et al. A neurosurgical phantom-based training system with ultrasound simulation. Acta Neurochir (Wien). 2014 June;156(6):1237–43.
  • Luz M, Manzey D, Mueller S, Dietz A, Meixensberger J, Strauss G. Impact of navigated-control assistance on performance, workload and situation awareness of experienced surgeons performing a simulated mastoidectomy. Int J Med Robot. 2014 June;10(2):187–95.
  • Demore C, Dahl P, Yang Z, Glynne-Jones P, Melzer A, Cochran S, et al. Acoustic Tractor Beam. 2014 May 2;112.
  • Saliev T, Karakitsios I, Ahmad S, Fleming S, Melzer A. Validation of structural effects mediated by MR-guided Focused Ultrasound on animal kidney ex vivo model. 2014 Apr 19;Volume 4.
  • Rube M, Bruce Holbrook A, Cox B, Houston J, Melzer A. Wireless MR Tracking of Interventional Devices Using Phase-Field Dithering and Projection Reconstruction. 2014 Mar 15;
  • Gueorguieva M, Yeo D, Eisma R, Melzer A. MRI of Thiel-embalmed human cadavers. 2014 Mar 1;39.
  • Velasco E, Agheneza T, Denecke K, Kirchner G, Eckmanns T. Social media and internet-based data in global systems for public health surveillance: a systematic review. Milbank Q. 2014 Mar;92(1):7–33.
  • Heckel F, Meine H, Moltz JH, Kuhnigk JM, Heverhagen JT, Kiessling A, et al. Segmentation-based partial volume correction for volume estimation of solid lesions in CT. IEEE Trans Med Imaging. 2014 Feb;33(2):462–80.
  • Ashok P, B. Praveen B, Rube M, Cox B, Melzer A, Dholakia K. Development of a Fiber based Raman Probe Compatible with Interventional Magnetic Resonance Imaging. 2014 Jan 31;8935.
  • Karakitsios I, Dogadkin O, Le N, Melzer A. Measurement of PRF Shift Coefficient during MR-guided Focused Ultrasound (MRgFUS) on Thiel Embalmed Tissue. 2014 Jan 1;
  • Rockstroh M, Franke S, Neumuth T. Requirements for the structured recording of surgical device data in the digital operating room. Int J Comput Assist Radiol Surg. 2014 Jan;9(1):49–57.
  • von Sachsen S, Senf B, Burgert O, Meixensberger J, Florek HJ, Mohr FW, et al. Stent graft visualization and planning tool for endovascular surgery using finite element analysis. Int J Comput Assist Radiol Surg [Internet]. 2014;Volume 9(4):617–33. Available from: http://link.springer.com/article/10.1007%2Fs11548-013-0943-2
  • Meißner C, Meixensberger J, Pretschner A, Neumuth T. Sensor-based surgical activity recognition in unconstrained environments. Minim Invasive Ther Allied Technol [Internet]. 2014;23(4):198–205. Available from: http://informahealthcare.com/doi/abs/10.3109/13645706.2013.878363
  • Kaiser M, John M, Heimann T, Neumuth T, Rose G. Comparison of Optimizers for 2D/3D Registration for Fusion of Ultrasound and X-Ray. In: Deserno TM, Handels H, Meinzer HP, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2014 [Internet]. Berlin, Heidelberg: Springer Berlin Heidelberg; 2014 [cited 2024 Jan 29]. p. 312–7. Available from: https://link.springer.com/10.1007/978-3-642-54111-7_58
  • Kaiser M, John M, Heimann T, Brost A, Neumuth T, Rose G. 2D/3D registration of TEE probe from two non-orthogonal C-arm directions. In: Medical image computing and computer-assisted intervention: MICCAI . International Conference on Medical Image Computing and Computer-Assisted Intervention. Boston: Springer Verlag; 2014. p. 283–90.
  • Denecke K. Use Cases and Application Purposes of Social Media in Healthcare. In: Social Media and Mobile Technologies for Healthcare. Hershey, PA: IGI Global; 2014. p. 59–74.
  • Ilunga-Mbuyamba E, Lindner D, Arlt F, Muens A, Meixensberger J, Chalopin C. Vascular structure tracking in intraoperative 3D ultrasound data during brain tumor resection. Biomed Tech (Berl). 2014;59(s1):4207.
  • Berliner L, Lemke HU, vanSonnenberg E, Ashamalla H, Mattes MD, Dosik D, et al. Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine. EPMA J. 2014;5(1):16.
  • Amato C, Lemke HU, Ratib O. Intelligent operating rooms: preparing for the new digital patient model challenges. Int J CARS. 2014;9(1):205–6.
  • Stoehr M, Cypko M, Denecke K, Lemke HU, Dietz A. A model of the decision-making process: therapy of laryngeal cancer. Int J CARS. 2014;9(1):217–8.
  • Strauss G, Schaller S, Gollnick I. Effekte eines multifunktionalen Instruments (HF-Schere) in der Parotischirurgie. HNO. 2014;62(3):196–201.
  • Lemke HU, Golubnitschaja O. Towards personal health care with model-guided medicine: long-term PPPM-related strategies and realisation opportunities within “Horizon 2020.” EPMA J. 2014;5(1):8.
  • Lemke HU, Cypko M, Warner D, Berliner L. 3D++ Visualisation of MEBN Graphs and Screen Representations of Patient Models (PIXIE II). Stud Health Technol Inform. 2014;196:248–51.
  • Kaiser M, John M, Heimann T, Brost A, Neumuth T, Rose G. 2D/3D registration of TEE probe from two non-orthogonal C-arm directions. Med Image Comput Comput Assist Interv. 2014;17(Pt 1):283–90.
  • Deng Y, Denecke K. Visualizing unstructured patient data for assessing diagnostic and therapeutic history. Stud Health Technol Inform. 2014;205:1158–62.
  • Denecke K, Cypko M, Deng Y. A Concept for Semi-Automatic Generation of Digital Patient Models. Biomed Tech (Berl). 2014;59(Suppl 1):754–7.
  • Denecke K. Sublanguage analysis of medical weblogs. Stud Health Technol Inform. 2014;205:565–9.
  • Denecke K. Ethical aspects of using medical social media in healthcare applications. Stud Health Technol Inform. 2014;198:55–62.
  • Cypko M, Stoehr M, Denecke K, Dietz A, Lemke HU. User interaction with MEBNs for large patient-specific treatment decision models with an example for laryngeal cancer. Int J CARS. 2014;9(1):215–6.
  • Gaebel J, Denecke K. Usefulness Of Information Extraction Methods in Medicine For Clinical Decision Support. In Leipzig; 2014. p. 112.
  • Schreiber E. Entwicklung einer Methode zur Generierung fallspezifischer Prozessmodelle mit Hilfe präoperativer Daten. 2014.
  • Ilunga Mbuyamba E, Lindner D, Arlt F, Muens A, Meixensberger J, Chalopin C. Vascular structure tracking in intraoperative 3D ultrasound data during brain tumor resection. Biomed Tech. 2014;59(1):457.
  • Denecke K, Cypko M, Deng Y. A Concept for Semi-Automatic Generation of Digital Patient Models. Biomed Tech. 2014;59(1):754–7.
  • Denecke K. Sublanguage Analysis of Medical Weblogs. Stud Health Technol Inform. 2014;205:565–9.
  • Lemke H U, Cypko M, Warner D, Berliner L. 3D++ visualisation of MEBN graphs and screen representations of patient models (PIXIE II). Stud Health Technol Inform [Internet]. 2014;196:248–51. Available from: http://ebooks.iospress.nl/publication/35784
  • Lassalle R, Marold J, Schoebel M, Manzey D, Bohn S, Dietz A, et al. Entscheidungsprozesse im Tumorboard bei eingeschraenkter Evidenzlage. Laryngo-Rhino-Otologie. 2014;93(4):237–43.
  • Lemke HU. Interdisciplinary cooperation between radiology and surgery: What can International Hospital (or the media generally) do to make this possible? International Hospital. 2014;40:22–3.
  • Heckel F, Moltz J H, Meine H, Geisler B, Kießling A, D’Anastasi M, et al. On the Evaluation of Segmentation Editing Tools. Journal of Medical Imaging. 2014;
  • Elsner C. Distanzmaße für chirurgische Prozessmodelle. 2014.
  • Deng Y, Denecke K. Visualizing Unstructured Patient Data for Assessing the Health Status. Stud Health Technol Inform. 2014;205:1158–62.

Publications from 2013

  • Maktabi M, Rockstroh M, Neumuth T. Surgical Planning and Resource Center (SPARC). In: 12th Leipzig Research Festival for Life Sciences Universität Leipzig 2013. 2013. p. 125.
  • Knoop N, Chalopin C, Arlt F, Meixensberger J, Lindner D. Intraoperative contrast enhanced ultrasound perfusion analysis in brain tumors. In: 12th Leipzig Research Festival for Life Sciences Universität Leipzig 2013. 2013.
  • Bohn S, Meier J, Neumuth T, Dietz A, Boehm A. Design of the Treatment Planning Unit (TPU) and an IT Infrastructure for Integrated Tumorboards. In: 12th Leipzig Research Festival for Life Sciences Universität Leipzig 2013. 2013. p. 115.
  • Lassalle R, Marold J, Schöbel M, Manzey D, Bohn S, Dietz A, et al. Entscheidungsprozesse im Tumorboard bei eingeschränkter Evidenzlage. Laryngo-Rhino-Otol [Internet]. 2013 Dec 10 [cited 2021 Apr 28];93(04):237–43. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0033-1353199
  • Chalopin C, Oeltze S, Preim B, Müns A, Meixensberger J, Lindner D. Method for the evaluation of US perfusion for brain tumor surgery. In: 12 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie, Innsbruck [Internet]. 2013. p. 198–202. Available from: http://www.researchgate.net/publication/259081658_Method_for_the_evaluation_of_US_perfusion_for_brain_tumor_surgery/file/60b7d529f02d9d9693.pdf
  • Bohn S, Lessnau M, Burgert O, Neumuth T. System monitoring and diagnostics architecture for networked medical devices. In: MICCAI 2013: International Workshop on Systems and Architectures for Computer Assisted Interventions (SACAI), Nagoya. 2013.
  • Meißner C, Neumuth T. Hierarchical approach for low-level surgical activity recognition. In: 16th International Workshop on Systems and Architectures for Computer Assisted Interventions (SACAI) MICCAI. Japan; 2013.
  • Unger M, Chalopin C, Neumuth T. Automatic gesture recognition based on thermography. In: Biomedizinische Technik. 2013. p. 203–4.
  • Chalopin C, Krissian K, Meixensberger J, Müns A, Arlt F, Lindner D. Evaluation of a semi-automatic segmentation algorithm in 3D intraoperative ultrasound brain angiography. In Biomed Tech; 2013. p. 293–302.
  • Franke S, Neumuth T. A framework for multi-model surgical workflow management. In: Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik (BMT). GRAZ; 2013.
  • Denecke K. Model-based decision support: Requirements and future for its application in surgery. In: Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik (BMT) [Internet]. GRAZ; 2013. Available from: http://www.degruyter.com/view/j/bmte.2013.58.issue-s1-M/bmt-2013-4300/bmt-2013-4300.xml
  • Rockstroh M, Franke S, Neumuth T. Konzept eines Datenrekorders zur Aufzeichnung von intraoperativen Gerätedaten. In: 58th Annual Conference German Association for Medical Informatics, Biometry and Epidemiology (GMDS). Lübeck; 2013.
  • Stoehr M, Meier J, Sommer G, Dietz A, Lemke H, Denecke K. Modeling and Support of Decision-making regarding the Treatment of Laryngeal Carcinoma in the Head and Neck Tumor Board. In: 58th Annual Conference German Association for Medical Informatics, Biometry and Epidemiology (GMDS) [Internet]. Lübeck; 2013. Available from: http://www.egms.de/static/de/meetings/gmds2013/13gmds085.shtml,
  • Liebmann P, Meixensberger J, Wiedemann P, Neumuth T. The impact of missing sensor information on surgical workflow management. Int J Comput Assist Radiol Surg. 2013 Sept;8(5):867–75.
  • Fernandez-Luque L, Lau A, Bond C, Denecke K, Martín-Sanchez F. New Trends in Health Social Media: Hype or Evidence-based Medicine. In 2013. Available from: http://www.researchgate.net/publication/255694143_New_Trends_in_Health_Social_Media_Hype_or_Evidence-based_Medicine
  • Geissler N, Machno A, Kotzsch S, Hoffmeier A, Strauß G, Korb W. Technological competence for surgeons - results of an international study. Biomed Tech (Berl). 2013 Aug;58 Suppl 1.
  • Unger M, Chalopin C, Neumuth T. Automatic gesture recognition based on thermography. Biomed Tech (Berl). 2013 Aug;58 Suppl 1.
  • Arlt F, Chalopin C, Müns A, Meixensberger J, Lindner D. Intraoperative resection control with contrast enhanced 3D-ultrasound – first results in patients with glioblastoma. In: 64 Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC) [Internet]. 2013. Available from: http://www.egms.de/static/de/meetings/dgnc2013/13dgnc330.shtml
  • Mozet C, Stoehr M, Dimitrova K, Dietz A, Wichmann G. Hedgehog targeting by cyclopamine suppresses head and neck squamous cell carcinoma and enhances chemotherapeutic effects. Anticancer Res. 2013 June;33(6):2415–24.
  • Strauss G, Gollnick I, Neumuth T, Meixensberger J, Lueth TC. [The “Surgical Deck”: a new generation of integrated operational rooms for ENT]. Laryngorhinootologie. 2013 Feb;92(2):102–12.
  • Franke S, Meixensberger J, Neumuth T. Intervention time prediction from surgical low-level tasks. J Biomed Inform. 2013 Feb;46(1):152–9.
  • Franke S, Neumuth T. A Framework for Multi-Model Surgical Workflow Management. Biomedical Engineering / Biomedizinische Technik [Internet]. 2013 Jan 7 [cited 2021 Apr 28]; Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2013-4316/html
  • Chalopin C, Krissian K, Meixensberger J, Müns A, Arlt F, Lindner D. Evaluation of a semi-automatic segmentation algorithm in 3D intraoperative ultrasound brain angiography. Biomedizinische Technik/Biomedical Engineering [Internet]. 2013 Jan 1 [cited 2021 Apr 28];58(3). Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-0089/html
  • Kaiser M, John M, Borsdorf A, Nöttling A, Neumuth T. A Hybird Optimization Approach for 2D-3D Registrationbased Fusion of Ultrasound and X-Ray. Biomed Tech (Berl) [Internet]. 2013; Available from: http://www.degruyter.com/view/j/bmte.2013.58.issue-s1-L/bmt-2013-4266/bmt-2013-4266.xml
  • Neustein A, Markowitz J. The Burgeoning of Medical Social-Media Postings and the Need for Improved Natural Language Mapping Tools. In: Where Humans Meet Machines Innovative Solutions for Knotty Natural-Language Problems. Springer; 2013. p. 27–43.
  • Scholz R, Hoffmann F, von Sachsen S, Drossel WG, Klöhn C, Voigt C. Validation of density–elasticity relationships for finite element modeling of human pelvic bone by modal analysis. Journal of Biomechanics [Internet]. 2013 [cited 2021 Apr 28];46(15):2667–73. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0021929013003783
  • Forestier G, Lalys F, Riffaud L, Louis Collins D, Meixensberger J, Wassef SN, et al. Multi-site study of surgical practice in neurosurgery based on surgical process models. Journal of Biomedical Informatics [Internet]. 2013 [cited 2021 Apr 28];46(5):822–9. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1532046413000816
  • Winkler D, Hammer N, Oehlwein C, Schwarz J, Strecker K, Fritzsch D, et al. Implementing conventional Zamorano Dujovny frames versus individually manufactured microTargeting platforms--a comparative study on deep brain stimulation in Parkinson patients. Stereotact Funct Neurosurg. 2013;91(6):392–8.
  • Schumann S, Bühligen U, Neumuth T. Distance measures for surgical process models. Methods Inf Med. 2013;52(5):422–31.
  • Rockstroh M, Franke S, Neumuth T. A workflow-driven surgical information source management. Int J CARS. 2013;8(Suppl 1):189–91.
  • Nussbeck G, Soltani N, Denecke K. Making knowledge on healthcare technologies understandable: an ontology for lab-on-a-chip systems. Stud Health Technol Inform. 2013;192:972.
  • Meier J, Boehm A, Neumuth T, Bohn S. Towards a digital patient model for head and neck tumor treatment: information integration from distributed information systems. Int J CARS. 2013;8(Suppl 1):222–4.
  • Personalized Medicine and Patient Modelling. Int J CARS [Internet]. 2013 [cited 2021 Apr 28];8(S1):219–24. Available from: http://link.springer.com/10.1007/s11548-013-0870-2
  • Denecke K, Spreckelsen C. Personalized medicine and the need for decision support systems. Stud Health Technol Inform. 2013;186:41–5.
  • Denecke K, Krieck M, Otrusina L, Smrz P, Dolog P, Nejdl W, et al. How to exploit twitter for public health monitoring? Methods Inf Med. 2013;52(4):326–39.
  • Denecke K, Brooks E. Web Science in Medicine and Healthcare. Methods Inf Med [Internet]. 2013 [cited 2021 Apr 28];52(02):148–51. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1627054
  • Franke S, Meixensberger J, Neumuth T. Intervention time prediction from surgical low-level tasks. J Biomed Informatics [Internet]. 2013;in print. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23111119
  • Meißner C, Neumuth T. RFID-based surgical instrument detection using Hidden Markov models. Biomed Tech [Internet]. 2013; Available from: http://www.ncbi.nlm.nih.gov/pubmed/22945108#
  • Denecke K, Krieck M, Otrusina L, Smrz P, Dolog P, Nejdl W, et al. How to Exploit Twitter for Public Health Monitoring? Methods of Information in Medicine [Internet]. 2013;52 (4):326–39. Available from: http://www.schattauer.de/en/magazine/subject-areas/journals-a-z/methods/contents/archivestandard/issue/1772/manuscript/19955.html,
  • Meier J, Boehm A, Neumuth T, Bohn S. Towards a digital patient model for head and neck tumor treatment: information integration from distributed information systems. Int J CARS. 2013;8(1):222–3.
  • Rockstroh M, Franke S, Neumuth T. A workflow-driven surgical information source management. Int J Comput Assist Radiol Surg [Internet]. 2013;8 (1):189–91. Available from: http://link.springer.com/journal/11548
  • Lassalle R, Marold J, Schöbel M, Manzey D, Bohn S, Dietz A. Entscheidungsprozesse im Tumorboard bei eingeschränkter Evidenzlage. Laryngo-Rhino-Otologie [Internet]. 2013; Available from: https://www.thieme-connect.de/DOI/DOI?10.1055/s-0033-1353199
  • Neugebauer R, Rotsch C, Scherer S, Werner M, Böhm A, Töppel T, et al. Topology-Optimized Implants: Medical Requirements and Partial Aspects of a Design Engineering Process Chain. Future Trends in Production Engineering. 2013;33–46.
  • Denecke K, Brooks E. Web Science in Medicine and Healthcare. Methods of Information in Medicine [Internet]. 2013;52(2):148–51. Available from: http://www.schattauer.de/en/magazine/subject-areas/journals-a-z/methods/contents/archivestandard/issue/1727/manuscript/19493.html,
  • Schumann S, Bühligen U, Neumuth T. Distance Measures for Surgical Process Models. Methods Inf Med 2013 [Internet]. 2013;52(5):422–31. Available from: http://www.schattauer.de/de/magazine/uebersicht/zeitschriften-a-z/methods/contents/archivestandard/issue/special/manuscript/19987.html
  • Denecke K, Spreckelsen C. Personalized Medicine and the Need for Decision Support Systems. Data and Knowledge for Medical Decision Support [Internet]. 2013;186:41–5. Available from: http://ebooks.iospress.nl/publication/32759
  • Müns A, Mühl C, Haase R, Möckel H, Chalopin C, Meixensberger J, et al. A neurosurgical phantom-based training system with ultrasound simulation. Acta Neurochir (Wien), 2013 [Internet]. 2013;156(6):1237–43. Available from: http://link.springer.com/article/10.1007%2Fs00701-013-1918-3
  • Scholz R, Hoffmann F, von Sachsen S, Drossel WG, Klöhn C, Voigt C. Validation of density– elasticity relationships for finite element modeling of human pelvic bone by modal analysis. Journal of Biomechanics. 2013;46(15):2667–73.
  • Liebmann P, Meixensberger J, Wiedemann P, Neumuth T. The impact of missing sensor information on surgical workflow management. Int J CARS. 2013;
  • Müns A, Arnold S, Schmitgen A, Arlt F, Chalopin C, Meixensberger J, et al. Improvement of neuronavigation based on ultrasound by means of the digital video interface. Biomed Tech. 2013;57 (S1):448–51.

Publications from 2012

  • Von Sachsen S, Senf B, Florek H-J, Meixensberger J, Mohr FW, Etz CD. Simulation-based Approach for Implant Planning for Aortic Aneurysm Repair. In: Thiery J, Beck-Sickinger A, Arendt T, editors. 11th Leipzig Research Festival, 14December 2012. 2012. p. 99.
  • Dänzer S, Freitag S, von Sachsen S, Groll MJ, Steinke H, Leimert M, et al. Statistical Model-based Segmentation Method for assisting Cervical Spine Interventions. In: Thiery J, Beck-Sickinger A, Arendt T, editors. 11th Leipzig Research Festival, 14December 2012. 2012. p. 99.
  • Böhm A, Bohn S, Neumuth T, Wichmann G, Preim B, Dietz A. Entwicklung einer integrierten IT Plattform zur Unterstützung des gesamten onkologischen Behandlungsprozesses und Konzept für eine surgical planning unit (SPU). In: 2 Symposium zur experimentellen und klinischen Forschung in der Kopf-Hals-Onkologie, Lübeck, e-HNO: 2012.
  • Bohn S, Meier J, Neumuth T, Dietz A, Böhm A. Ein Framework zur Datenintegration in der HNO-Tumortherapie. In: 11 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV - CURAC. 2012.
  • Bohn S, Franke S, Burgert O, Neumuth T. An integration architecture with centralized control for medical devices in the digital operating room. In: Proc of Fifth International Workshop on Systems and Architectures for Computer Assisted Interventions (SACAI), 15th International Conference on Medical Image Computing and Computer Assisted Intervent. 2012.
  • Franke S, Liebmann P, Neumuth T. Prediction of remaining procedure time from current surgical activities. In: Proceedings of 3rd International MICCAI Workshop on Modeling and Monitoring of Computer-assisted interventions (M2CAI). 2012.
  • von Sachsen S, Burgert O, Senf B, Florek HJ, Etz CD, Mohr FW. Durchgängige Prozesskette zur Integration eines patientenspezifischen Finite Elemente Modells in den EVAR-Planungsprozess. In: Stausberg J, Haerting J, Knaup P, Plischke M, Timmer A, Haux R, editors. 57 Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie eV. 2012. p. 99–100.
  • Müns A, Arnold S, Schmitgen A, Chalopin C, Arlt F, Meixensberger J, et al. Improvement of neuronavigation based on ultrasound by means of the digital video interface. Biomedical Engineering / Biomedizinische Technik [Internet]. 2012 Aug 24 [cited 2021 Apr 28];57(SI-1-Track-B):000010151520124036. Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-4036/html
  • Chalopin C, Lindenberg R, Arlt F, Müns A, Meixensberger J, Lindner D. Brain tumor enhancement revealed by 3D intraoperative ultrasound imaging in a navigation system. Biomedical Engineering / Biomedizinische Technik [Internet]. 2012 Aug 24 [cited 2021 Apr 28];57(SI-1-Track-B):000010151520124116. Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-4116/html
  • Boehm A, Neumuth T, Pankau T, Müller S, Preim B, Dietz A. Documentation and visualization with the TTM (Tumor Therapy Manager) for panendoscopy: results of workflow analysis of the panendoscopy and the documentation process with and without the TTM. In: Int J Meeting Abstracts of the 8th International Conference on Head and Neck Cancer. 2012.
  • Dressler CR, Fischer M, Burgert O, Strauß G. [Evaluation of a context sensitive system for intra-operative usage of the electronic patient record]. Laryngorhinootologie. 2012 June;91(6):368–74.
  • Born S, Pfeifle M, Markl M, Scheuermann G. Visual 4D MRI Blood Flow Analysis with Line Predicates. In: IEEE Pacific Visualization. 2012. p. 105–12.
  • Krauss A, Neumuth T, Wachowiak R, Donaubauer B, Korb W, Burgert O, et al. Laparoscopic versus robot-assisted Nissen fundoplication in an infant pig model. Pediatr Surg Int. 2012 Apr;28(4):357–62.
  • Neumuth T, Meissner C. Online recognition of surgical instruments by information fusion. Int J Comput Assist Radiol Surg. 2012 Mar;7(2):297–304.
  • Hofer M, Runge A, Haase R, Neumuth T, Maier T, Lueth T, et al. [A surgical micromanipulator in ear surgery: potential and comparison to freehand preparation]. HNO. 2012 Feb;60(2):109–16.
  • Boese A, Schmidt M, Neumuth T, Rose G. Definition of product requirements of a MR compatible bone biopsy system using workflow analysis. Biomedical Engineering / Biomedizinische Technik [Internet]. 2012 Jan 31 [cited 2021 Apr 28];57(SI-1 Track-J). Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-4095/html
  • Meißner C, Neumuth T. RFID-based surgical instrument detection using Hidden Markov models. Biomedical Engineering / Biomedizinische Technik [Internet]. 2012 Jan 31 [cited 2021 Apr 28];57(SI-1 Track-H). Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-4047/html
  • von Sachsen S, Etz CD, Mohr FW, Neugebauer R, Senf B. Finite element models for assisting implant selection - feasibility and potential for use in EVAR. In: The Leipzig Interventional Course (LINC), January 25-28, 2012. Leipzig; 2012.
  • Meier J, Boehm A, Schreiber E, Lippert S, Neumuth T, Bohn S. Development of a modular IT-Framework supporting the oncological Patient Treatment in ENT Surgery. Biomedical Engineering / Biomedizinische Technik [Internet]. 2012 Jan 6 [cited 2021 Apr 28];57(SI-1 Track-Q). Available from: https://www.degruyter.com/document/doi/10.1515/bmt-2012-4023/html
  • Seeburger J, Leontjev S, Neumuth M, Noack T, Höbartner M, Misfeld M, et al. Trans-apical beating-heart implantation of neo-chordae to mitral valve leaflets: results of an acute animal study. Eur J Cardiothorac Surg. 2012 Jan;41(1):173–6; discussion 176.
  • Neumuth T, Loebe F, Jannin P. Similarity metrics for surgical process models. Artif Intell Med. 2012 Jan;54(1):15–27.
  • Strauß G, Gollnick I, Neumuth T, Meixensberger J, Lüth T. Der OP der Zukunft: Ein integriertes chirurgisches Gesamtsystem. In: Medizinprodukte Planen, entwickeln, realisieren. Köln: TÜV Media; 2012. p. 545–70.
  • Neumuth T. Surgical Process Modeling - Theory, Methods, and Applications [Habilitationsschrift]. [Leipzig]: Universität Leipzig; 2012.
  • v Sachsen S, Florek HJ, Senf B, Mohr FW, Etz C. Modellbasierte Unterstützung von Stentgraftauswahl. Gefässchirurgie. 2012;17(5):480–1.
  • Neumuth T, Liebmann P, Wiedemann P, Meixensberger J. Surgical workflow management schemata for cataract procedures. process model-based design and validation of workflow schemata. Methods Inf Med. 2012;51(5):371–82.
  • Meier J, Liebmann P, Neumuth T, Lemke HU. IHE/XDS-based infrastructure for information management in model guided therapy. Int J CARS. 2012;7(Suppl 1):477–8.
  • Franke S, Schreiber E, Neumuth T. A time and resource management support system for the digital operating room based on surgical process models. Int J CARS. 2012;7(Suppl 1):507–8.
  • Bohn S, Meier J, Neumuth T, Wichmann G, Straus G, Dietz A, et al. Design of an integrated IT platform to support the oncologic ENT treatment process and concept of a surgical planning unit. Int J CARS. 2012;7(Suppl 1):402–3.
  • Bohn S, Franke S, Burgert O, Meixensberger J, Lindner D. First clinical application of an open standards based OR integration system. Biomed Tech (Berl). 2012;S1-1 Tr.Q:1.
  • Krauss A, Neumuth T, Wachowiak R, Donaubauer B, Korb W, Burgert O, et al. Laparoscopic versus robot-assisted Nissen fundoplication in an infant pig model. Pediatr Surg Int [Internet]. 2012;28 (4):357–62. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22200733
  • Chalopin C, Lindenberg R, Arlt F, Müns A, Meixensberger J, Lindner D. Brain tumor enhancement revealed by 3D intraoperative ultrasound imaging in a navigation system. Biomed Tech. 2012;57 (S1):468–71.
  • Franke S, Schreiber E, Neumuth T. A time and resource management support system for the digital operating room based on surgical process models. Int J Comput Assist Radiol Surg. 2012;7 (Supplement 1):507–8.
  • Neumuth T, Meißner C. Online recognition of surgical instruments by information fusion. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2012; Available from: http://www.ncbi.nlm.nih.gov/pubmed/22005841
  • Boese A, Schmidt M, Neumuth T, Rose G. Definition of product requirements of a MR compatible bone biopsy system using workflow analysis. Biomedizinische Technik, biomedical engineering, [Internet]. 2012; Available from: http://www.ncbi.nlm.nih.gov/pubmed/22945132
  • Neumuth T, Loebe F, Jannin P. Similarity metrics fo surgical process models. Artif Intell Med [Internet]. 2012; Available from: www.iccas.de/wp-content/uploads/2012/03/Neumuth-et-al.-2012-Artif-Intell-Med.pdf www.ncbi.nlm.nih.gov/pubmed/22056273
  • von Sachsen S, Florek HJ, Senf B, Mohr FW, Etz CD. Modellbasierte Unterstützung von Stentgraftauswahl. Gefässchirurgie. 2012;17:480.
  • Meier J, Liebmann P, Neumuth T, Lemke HU. IHE/XDS-based infrastructure for information management of model guided therapy. International Journal of Computer Assisted Radiology and Surgery 7. 2012;Supplement 1:469–82.
  • Bohn S, Meier J, Neumuth T, Wichmann G, Strauß G, Dietz A, et al. Design of an integrated IT platform to support the oncologic ENT treatment process and concept of a surgical planning unit. International Journal of Computer Assisted Radiology and Surgery. 2012;Vol. 7, Supplement 1:402–3.
  • von Sachsen S, Burgert O, Meixensberger J, Senf B, Florek HJ, Mohr FW. Simulationsgestützte Planung von EVAR Interventionen – Einsatzpotenzial der Finite Elemente Methode. Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie, editor. Tagungsband der 11 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie eV (CURAC). 2012;8–11.
  • Bohn S, Neumuth T, Meier J, Strauß G, Böhm A. An integrated IT-platform for personalized healthcare in oncologic ENT treatment. Biomedizinische Technik [Internet]. 2012;51 S1. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22962101
  • Bohn S, Franke S, Neumuth T. Interoperability of medical devices within the operating room using service-oriented integration. Abstract Book of the 34th Annual Int Conf of IEEE Engineering in Medicine and Biology Society (EMBC 2012). 2012;
  • Hofer M, Runge A, Haase R, Neumuth T, Maier T, Lüth T, et al. A surgical micromanipulator in ear surgery: potential and comparison to freehand preparation. HNO [Internet]. 2012;109–16. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22331085
  • Seeburger J, Leontjev S, Neumuth T, Noack T, Höbartner M, Misfeld M. Trans-apical beating-heart implantation of neo-chordae to mitral valve leaflets: results of an acute animal study. European Journal of Cardio-Thoracic Surgery. 2012;
  • Meier J, Böhm A, Schreiber E, Lippert S, Neumuth T, Bohn S. Development of a modular IT-Framework supporting the oncological Patient Treatment in ENT Surgery. Biomed Tech [Internet]. 2012; Available from: http://www.ncbi.nlm.nih.gov/pubmed/22962116
  • Neumuth T, Liebmann P, Wiedemann P, Meixensberger J. Surgical Workflow Management Schemata for Cataract Procedures. Process Model-based Design and Validation of Workflow Schemata. Methods Inf Med [Internet]. 2012;51 (5):371–82. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22614847
  • Strauß G, Gollnick I, Neumuth T, Lüth TC. The “Surgical Deck”: A New Generation of Integrated Operational Rooms for ENT. Laryngorhinootologie [Internet]. 2012; Available from: http://www.ncbi.nlm.nih.gov/pubmed/22961062
  • Niederlag W, Lemke HU, Lehrach H, Peitgen H-O. Der virtuelle Patient. Boston, USA: Walter de Gruyter Verlag Berlin; 2012. (Health Academy; vol. 16).
  • Niederlag W, Lemke HU, Strauß G, Feußner H. Der digitale Operationssaal. Boston, USA: Walter de Gruyter Verlag Berlin; 2012. (Health Academy; vol. 17).
  • Krissian K, Santana F, Santana-Cedrés D, Falcón-Torres C, Arencibia S, Illera S, et al. AMILab Software: Medical Image Analysis, Processing and Visualization. MMVR NextMed Medicine Meets Virtual Reality [Internet]. 2012;173:233–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22356993
  • Glaser B, Neumuth T. Towards an architecture and a graphical user interface for intra-operative detection of surgical instruments. In: 11th Leipzig Research Festival for Life Sciences. Universität Leipzig; 2012. p. 108.

Publications from 2011

  • Müns A, Meixensberger J, Arnold S, Schmitgen A, Arlt F, Chalopin C, et al. Integration of a 3D ultrasound probe into neuronavigation. Acta Neurochir (Wien). 2011 July;153(7):1529–33.
  • Merk DR, Karar ME, Chalopin C, Holzhey D, Falk V, Mohr FW, et al. Image-guided transapical aortic valve implantation: sensorless tracking of stenotic valve landmarks in live fluoroscopic images. Innovations (Phila). 2011 July;6(4):231–6.
  • Bouarfa L, Schneider A, Feussner H, Navab N, Lemke HU, Jonker PP, et al. Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy. Artif Intell Med. 2011 July;52(3):169–76.
  • Neugebauer R, Werner M, Voigt C, Steinke H, Scholz R, Scherer S, et al. Experimental modal analysis on fresh-frozen human hemipelvic bones employing a 3D laser vibrometer for the purpose of modal parameter identification. J Biomech. 2011 May 17;44(8):1610–3.
  • Neumuth T. Surgical process modeling and surgical workflow analysis. Tutorial at 10th Annual meeting of the German society for computer-and robot-assisted (CURAC). 2011;
  • Runge A, Hofer M, Dittrich E, Neumuth T, Haase R, Strauss M, et al. Manual accuracy in comparison with a miniature master slave device--preclinical evaluation for ear surgery. Stud Health Technol Inform. 2011;163:524–30.
  • Unger M, Kromberg R, Strauß G, Neumuth T. Determination of cutting-temperature during milling operations. In Leipzig; 2011.
  • Schumann S, Wachowiak R, Kurth T, Hill H, Bühligen U, Neumuth T. Distance assessment between surgical processes. In Leipzig; 2011.
  • von Sachsen S, Senf B, Etz C, Drossel W, Mohr F. Semi-automated evaluation of stentgrafts. In Leipzig; 2011.
  • von Sachsen S, Etz C, Mohr F, Senf B, Neugebauer R, Florek H. A Method for Integrating Finite Element Results in a Surgical Planning Software for Evaluating Stent Graft Properties in Endovascular Surgery. In Shanghai; 2011.
  • Rockstroh M, Franke S, Neumuth T. A concept of a surgical data recover and the realtime provision of intraoperative data using the TiCoLi-toolkit. In Leipzig; 2011.
  • Ritter N, von Sachsen S, Burgert O, Meixensberger J. Applicability of DICOM’s “Implant Template” to describe stentgrafts. In Leipzig; 2011.
  • Neumuth T. Clinical evaluation studies based on surgical process models. In Magdeburg; 2011.
  • Neumuth T, Liebmann P. Generierung von Workflowschematat aus patientenindividuellen Prozessmodellen zur Unterstützung chirurgischer Eingriffe. In Mainz; 2011.
  • Neugebauer R, Rotsch C, Scherer S, Werner M, Böhm A. Topology-optimized Implants - Medical Requirements and Partial Aspects of a Design Engineering Process Chain. In Berlin; 2011.
  • Meißner C, Neumuth T. Towards on automatic recognition of surgical workflow actions. In Leipzig; 2011.
  • Meier J, Boehm A, Neumuth T, Bohn S. Design of a Workflow Based Oncological Patient Care Support System with Clinical Decision Support. In Leipzig; 2011.
  • Machno A, Jannin P, Dameron O, Korb W, Scheurmann G, Meixensberger J. Man-Computer-Interaction in Surgery - Requirements for ontological Representation. In Leipzig; 2011.
  • Machno A, Seifert A, Korb W. CIRS und Risikomanagement im Krankenhaus. In Chemnitz; 2011.
  • Liebmann P, Meixensberger J, Neumuth T. Validation of a model based approach for surgical workflow schema generation. In Leipzig; 2011.
  • Liebmann P, Bohn S, Neumuth T. Design and validation of a robust surgical workflow management system. In Toronto; 2011.
  • Karar M, John M, Holzney D, Falk V, Mohr F, Burgert O. New assistance system for transcatheter aortic valve implantation based on intraoperative fluoroscopy guidance. In Leipzig; 2011.
  • Karar M, John M, Holzhey D, Falk V, Mohr F, Burgert O. Model-Updated Image-Guided Minimally Invasive Off-Pump Transcatheter Aortic Valve Implantation. In 2011.
  • Herre H, Neumuth D, Loebe F, Neumuth T. Modeling surgical processes: an ontological approach. In Mainz; 2011.
  • Glaser B, Neumuth T. A concept for intra-operative identification of surgical instruments using 2D camera data and scales. In Leipzig; 2011.
  • Franke S, Schreiber E, Meixensberger J, Neumuth T. A model based approach towards prediction of intervention time for brain tumor resections based on surgical workflows. In Leipzig; 2011.
  • Franke S, Burgert O. Integration based on Open IGTLink. In Orlando; 2011.
  • Fischer M, Dressler C, Dietz A, Strauß G. Surgical Patient Tracking with the Karl Storz OR ticket. In San Francisco; 2011.
  • Dressler C, Rockstroh M, Liebmann P, Burgert O. Anforderungsanalyse und Entwurf zur Integration von optischen Oberflächenscannern als neue Modelität im DICOM-Standard. In Magdeburg; 2011.
  • Chalopin C, Lindenberg R, Arlt F, Müns A, Lindner D. Brain tumor segmentation in 3D intraoperative ultrasound data. In Leipzig; 2011.
  • Chalopin C, Krissian K, Müns A, Arlt F, Meixensberger J, Lindner D. Phantom-based evaluation of a semi-automatic segmentation algorithm for cerebral vascular structures in 3D ultrasound angiography (3D USA). In Magdeburg; 2011.
  • Burgert O. Update on DICOM and IHE in Surgery. In Orlando; 2011.
  • Burgert O, Franke S, Gessat M, Bohn S. TiCoLi - An Open Software Library for Device Integration in the Digital OR based on Open Software and Open Standards. In Toronto; 2011.
  • Burgert O, Liebmann P, Treichel T. IHE for Surgery - Scope and first proposals for a new domain within the “Integrating the Healthcare Enterprise” initiative. In Orlando; 2011.
  • Brus J, Dressler C, Rockstroh M, Dietz A. Dreidimensionales Oberflächenscanning der Nse im Rahmen der Septorhinoplastik. In 2011.
  • Born S, Pfeifle M, Markl M, Scheurmenn G. Visual analysis of 4D MRI blood flow data. In Leipzig; 2011.
  • Bohn S, Lindner D, Franke S, Meixensberger J. Evaluation and first clinical application of a modular and open OR integration system in neurosurgical interventions. In Leipzig; 2011.
  • Bohn S, Lindner D, Petzold C, Burgert O. A framework for data and context integration in the modular digital OR. In Toronto; 2011.
  • Bohn S, Hilbert T, Franke S, Burgert O. Remote User Interfaces for Entralized Control in the Integrated Operating Room. In Tel Aviv; 2011.
  • Arlt F, Müns A, Chalopin C, Meixensberger J, Lindner D. 3D Kontrastmittel - Ultraschall in der Behandlung maligner Hirntumore - intraoperative Anwendung. In Magdeburg; 2011.
  • Machno A, Seifert A, Korb W. CIRS und Risikomanagement im Krankenhaus. In: 57 Frühjahrskongress der Gesellschaft für Arbeitswissenschaft Mensch, Technik, Organisation - Vernetzung im Produktentstehungs- und -herstellungsprozess. Chemnitz: GfA-Press; 2011. p. 425–8.
  • Korb W, Jannin P. Bewertung der Mensch-Maschine-Interaktion. In: Computerassistierte Chirurgie. München: Elsevier; 2011. p. 323–32.
  • Karar M, Holzhey D, John M, Rastan A, Mohr FW, Burgert O. Image-Guided Transcatheter Aortic Valve Implantation Assistance System. In: Aortic Valve [Internet]. Rijeka: InTech; 2011 [cited 2024 Jan 29]. p. 251–63. Available from: http://www.intechopen.com/books/aortic-valve/image-guided-transcatheter-aortic-valve-implantation-assistance-system
  • Hastreiter P, Bartz D, Preim B. Visualisierung. In: Computer-Assistierte Chirurgie. München: Elsevier-Verlag; 2011. p. 17–62.
  • Dressler C, Rockstroh M, Liebmann P, Burgert O. Anforderungsanalyse und Entwurf zur Integration von optischen Oberflächenscannern als neue Modalität im DICOM-Standard. In: 10 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterunterstütze Chirurgie eV. Magdeburg: Universität Magdeburg; 2011. p. 157–60.
  • Chalopin C, Krissian K, Müns A, Arlt F, Meixensberger J, Lindner D. Phantom-based evaluation of a semi-automatic segmentation algorithm for cerebral vascular structures in 3D ultrasound angiography (3D USA). In: 10 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterunterstützte Chirurgie eV. Magdeburg: Universität Magdeburg; 2011. p. 75–9.
  • Burgert O, Neumuth T. Analyse und Beschreibung chirurgischer Workflows. In: Computerassistierte Chirurgie. München: Elsevier GmbH; 2011. p. 303–10.
  • Arlt F, Müns A, Chalopin C, Meixensberger J, Lindner D. 3D Kontrastmittel - Ultraschall in der Behandlung maligner Hirntumore - intraoperative Anwendung. In: 10 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterunterstützte Chirurgie eV. Magdeburg: Universität Magdeburg; 2011. p. 7–9.
  • Müns A, Arnold S, Schmitgen A, Arlt F, Chalopin C, Meixensberger J, et al. Enhancement of neuronavigation based on digital video transfer of intraoperative ultrasound. Int J CARS. 2011;6(Suppl 1):226–7.
  • Boehm A, Müller S, Pankau T, Strauß G, Bohn S, Fuchs M, et al. Computergestützte Assistenz zur Verbesserung der Therapie-Planung in der Kopf-Hals-Onkologie. Laryngo-Rhino-Otol [Internet]. 2011 [cited 2021 Apr 26];90(12):732–8. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0031-1295410

Publications from 2010

  • Ritter N, Werner M, Scherer S, Drossel W, Burgert O. Repräsentation flexibler Implantate durch DICOM. In 2010.
  • Chalopin C, Lindner D, Müns A, Arlt F, Meixensberger J. Pipeline for the evaluation of intraoperative 3D enhanced ultrasound imaging for brain tumor resection. In Leipzig; 2010.
  • Korb W, Stephan M, Strauß G, Stier G, Hölscher U. Gebrauchstauglichkeit im Produktentwicklungsprozess - Ergebnisse einer Umfrage bei Medizingeräteherstellern. In Rostock; 2010.
  • Geißler N, Strauß G, Arnold U, Lubrich A, Ewald R, Korb W. Evaluation von auditiven versus visuellen Hinweissystemen in der Chirurgie. In Rostock; 2010.
  • Machno A, Korb W, Seifert A, Winkler D, Meixensberger J. Risikomanagementtools für die Analyse der Mensch-Maschine-Interaktion in der computerassistierten Chirurgie. In Rostock; 2010.
  • Machno A, Korb W, Winkler D, Fischer J, Meixensberger J. Risk Assessment of Software Use in Computer Assisted Surgery. In Genf; 2010.
  • Hoffmeier A, Schönwald L, El Khaoua I, Strauß G, Korb W. Der Fragebogen zur Erfassung von Müdigkeit: Überprüfung der Reliabilität und Validität. In Baden-Baden; 2010.
  • Burgert O, Treichel T, Bohn S. IHE in Surgery - Proposal for a new IHE domain. In Beijing; 2010.
  • Liebmann P, Neumuth T. Evaluierung eines chirurgischen Workflow Management Systems. In Düsseldorf; 2010.
  • Lindner D, Chalopin C, Meixensberger J. Workflowanalytik in der Neurochirurgie - wann, wie und warum. In Düsseldorf; 2010.
  • Chalopin C, Lindner D, Müns A, Arlt F, Meixensberger J. Pipeline for the evaluation of navigated 3D intraoperative enhanced ultrasound imaging in neurosurgery for brain tumor resection. In Düsseldorf; 2010.
  • Bohn S, Gessat M, Franke S, Voruganti A, Burgert O. Ein modulares OP-Integrationssystem basierend auf offenen Standards. In 2010.
  • Burgert O, Mayoral R, Bohn S, Neumuth T. Models and their Interdependencies in Model Guided Therapy. In 2010.
  • Bohn S, Lindner D, Petzold C, Burgert O. Ein Framework zur Daten- und Kontextintegration für den modularen integrierten OP. In Düsseldorf; 2010.
  • Bühligen U, Wachowiak R, Neumuth T, Schumann S, Kaschek B, Till H. Workflow-Analysen zur ergonomischen Beurteilung von “konventioneller” versus “single-incision” laparoskopischer Chirurgie (SILS). In 2010.
  • Haas A, Sauter M, Wachowiak R, Böhm R, Woller T, Geyer C, et al. Workflowanalysen zur statistischen Beurteilung neuer laparoskopischer Techniken und neuer Instrumente. In Leipzig; 2010.
  • Liebmann P, Müller M, Meixensberger J, Neumuth T. Model driven design of workflow schemata and the development of a corresponding test system. In Leipzig; 2010.
  • Liebmann P, Neumuth T. Evaluierung eines chirurgischen Workflow Management Systems. In 2010.
  • Seeburger J, Neumuth T, Noack T, Leontjev S, Mohr F. Transapical beating heart implantation of neochordae - procedural performance of a brand-new technique using surgical work flow analysis. In 2010.
  • Burgert O, Liebmann P, Dressler C, Treichel T. IHE in surgery. In Leipzig; 2010.
  • Bohn S, Gessat M, Franke S, Burgert O. The modular integrated operating room based on open standards. In Leipzig; 2010.
  • Dressler C, Liebmann P, Dietz A, Treichel T, Burgert O. Requirements of a DICOM supplement for optical surface scanners regarding the use-case of a rhinoplasty surgery. In Leipzig; 2010.
  • Franke S, Bohn S, Trantakis C, Meixensberger J, Burgert O. Integration of evoked potentials into neurosurgical navigation for tumour resections near the motor cortex. In Leipzig; 2010.
  • Born S, Wellein D, Bohn S, Strauß G, Bartz D. 3D Visualization for tumor intervention planning. In Leipzig; 2010.
  • Karar M, Dressler C, Noack T, Holzhey D, Falk V, Mohr F, et al. Fluoroscopic assistance system for transapical aortic valve implantation. In Leipzig; 2010.
  • Machno A, Korb W, Jannin P, Scheuermann G, Meixensberger J. Assessment concepts for the man-machine-interaction in surgery. In Leipzig; 2010.
  • Ritter N, Scherer S, Drossel W, Burgert O. Flexible Implantate. In Leipzig; 2010.
  • Daenzer S, Freitag S, Beyersdorff D, Scheuermann G, Burgert O, Stolzenburg J. Semi-automatische Segmentierung der Prostata in MRT-Daten. In Leipzig; 2010.
  • Wellein D, Pfeifle M, Born S, Duffner F, Burgert O, Bartz D. Modular augmented reality for the neuro-comrade project. In Leipzig; 2010.
  • Pritzkau A, Radloff A, Schumann H, Bartz D. Scattering and jittering: using real and illusionary motion for better visual scatterplot analysis. In Leipzig; 2010.
  • Schumann S, Wachowiak R, Till H, Bühligen U, Neumuth T. An experimental Setup to evaluate laparoscopic Instruments by analyzing Surgical Process Models. In 2010.
  • Born S, Wellein D, Rhone P, Pfeifle M, Friedrich J, Bartz D. Neurosurgical Intervention Planning with Vol V. In 2010.
  • Neumuth D, Loebe F, Herre H, Neumuth T. Surgical Process Models - A Translational Four-Level Approach. In Leipzig; 2010.
  • Bohn S, Hilbert T, Burgert O. User interface integration and remote control for modular surgical assist systems. In 2010.
  • Karar M, Noack T, Kempfert J, Falk V, Burgert O. Real-time tracking of aortic valve landmarks based on 2D-2D fluoroscopic image registration. In Düsseldorf; 2010.
  • Karar M, Burgert O, El-Brawany M. Simplified Takagi-sugeno fuzzy PID control of intravenous drugs infusion for acute congestive heart failure therapy. In Venice; 2010.
  • Liebmann P, Neumuth T. Model-driven design of workflow schemata for the operating room of the future. In 2010. p. 415–9.
  • Neumuth T. Use-Case-Szenarien für die Bottom-Up-Modellierung chirurgischer Prozesse. In 2010. p. 162–3.
  • Neumuth T, Kaschek B, Czygan M, Goldstein D, Strauß G, Meixensberger J, et al. Suppport of surgical process modeling by using adaptable software user interfaces. In 2010.
  • Florek H, Burgert O, Scherer S. Virtuelles Stenting zur optimierten Implantatplanung in der minimal-invasiven Gefäßchirurgie. In Dresden; 2010.
  • Born S, Wellein D, Zöllner A, Bartz D. Segmentation-enhanced Registration of Angiography Data. In 2010.
  • Pritzkau A, Bartz D. Parahistogramme innerhalb eines dreidimensionalen Interaktionsraumes. In 2010.
  • Burgert O, Treichel T, Dressler C, Gessat M. Storing Data generated by Optical Surface Scanners using DICOM - a Work Item Proposal. In San Diego; 2010.
  • Wellein D, Pfeifle M, Althuizes M, Voitel L, Bartz D. A Cortex Segmentation Pipeline for Neurosurgical Intervention Planning. In 2010.
  • Dressler C. Gründe für die mangelnde Interoperabilität in Operationssälen. In Nürnberg; 2010.
  • Dressler C. Lösungen zur sterilen Bedienung von Systemen im Operationssaal durch den Operateur. In Nürnberg; 2010.
  • Dressler C. Optical Surface Scan IOD. In Mainz; 2010.
  • Burgert O. IHE für die Chirurgie. In Mainz; 2010.
  • Burgert O. Implantatplanung auf Basis von DICOM-SOP-Klassen. In Mainz; 2010.

Publications from 2009

  • Voruganti A, Burgert O, Bartz D. Improving TRacking Accuracy using Neural Networks in Augmented Reality Environments. In 2009. p. 86–93.
  • Vazquez A, Mayoral R, Burgert O. Implementing Streaming for the Digital Operating Room using DICOM. In 2009.
  • Treichel T, Liebmann P, Burgert O, Gessat M. Applicability of DICOM structured reporting for the standardized exchange of implantation plans. In 2009.
  • Treichel T, Liebmann P, Burgert O, Gessat M. Applicability of DICOM structured report to the standardized exchange of implantation plans. In 2009. p. 374–5.
  • Trautwein K, Voruganti A, Grunert R, Korb W, Jacobs S, Falk V. Evaluation of surgical cartographic navigation system for endoscopic bypass grafting on heart phantoms. In Berlin; 2009. p. 297–8.
  • Streitbürger D, Franke S, Trantakis C, Helm J, Mayoral R. Intraoperatives Mapping durch intraoperative Navigation und Somatosensorisch evozierte Potentiale. In Leipzig; 2009.
  • Streitbürger D, Gessat M, Franke S, Trantakis C, Helm J, Mayoral R. Intraoperative Mapping of the Central Sulcus using Surgical Navigation and Somatosensory Evoked Potentials. In Boston; 2009.
  • Streitbürger D, Franke S, Gessat M, Mayoral R. Ein modulares Assistenzsystem zur intraoperativen Lokalisation des Sulcus Centralis bei Tumorresektionen nahe des Motorkortex. In 2009. p. 1070–84.
  • Schönwald L, Geißler N, Strauß G, Meixenbserger J, Korb W, Bartz D. Optimierung der visuellen Signalgestaltung in der chirurgie mittels Selbstauskunft und Augenbewegungsanalyse. In Leipzig; 2009.
  • Salah S, Cunningham D, Bartz D. Perzeptuell motivierte illustrative Darstellungsstile für komplexe Modelle. In 2009. p. 311–3.
  • Runger A, Hofer M, Dittrich E, Maier T, Lueth T, Haase R, et al. Manual vs. master slave accuracy in middle ear surgery. In 2009. p. 54.
  • Runge A, Hofer M, Haase R, Dittrich E, Neumuth T, Thomas M, et al. Manual accuracy in middle ear surgery in comparison with a miniature master slave device. In 2009. p. 79–80.
  • Pretschner A, Schütz M, Neumuth T. Echtzeitfähige Identifikation von Operationsinstrumenten mit Hilfe von Java auf eingebetteten Systemen. In Leipzig; 2009.
  • Neumuth T, Schlomberg J, Wiedemann R, Foya C, Meier P, Wiedemann P. Berechnung und Vergleich idealer mittlerer Operationsverläufe in der Augenchirurgie am Beispiel von Katarakteingriffen. In 2009.
  • Neumuth T, Jannin P, Strauß G, Meixensberger J, Burgert O. Are live observations as accurate as video observations for surgical process modeling? In 2009. p. 302–3.
  • Neumuth T, Czygan M, Goldstein D, Strauß G, Meixensberger J, Burgert O. Computer assisted acquisition of surgical process models with a sensor-driven ontology. In London; 2009.
  • Neumuth T, Burgert O. Prozesse im Operationssaal. In Leipzig; 2009.
  • Mudunuri R, Burgert O, Neumuth T. Ontological Modelling of Surgical Knowledge. In 2009.
  • Meißner C, Thiem S, Pretschner A, Neumuth T. RFID-basierte Instrumentenerkennung zur automatischen Verfolgung von chirurgischen Arbeitsprozessen. In Leipzig; 2009.
  • Meißner C, Pretschner A, Neumuth T. Medizintechnische Anwendung industrieller Kommunikationskonzepte - OPC UA als Mittel zur Informationskonvergenz. In Leipzig; 2009.
  • Leßnau M, Burgert O, Bohn S. Systemmonitoring verteilter Komponenten in einer IT-Infrastruktur für die Computer Assistierte Chirurgie. In 2009.
  • Korb W, Geißler N, Neumann J, Meixensberger J. Mensch-Computer-Interaktion in der Chirurgie - Ergebnisse einer Literaturrecherche. In Berlin; 2009. p. 299–301.
  • Korb W, Boehm A, Geißler N, Hoffmeier A, Seifert A, Stephan M, et al. Automation und Mechatronik im OP. In Leipzig; 2009.
  • Karar M, Gessat M, Walther T, Falk V, Burgert O. Towards a New Image Guidance System for Assisting Transapical Minimally Invasive Aortic Valve Implantation. In 2009.
  • Karar M, Chalopin C, Merk D, Jacobs S, Walther T, Falk V, et al. Localization and tracking of aortic valve prosthesis in 2D fluoroscopic image sequences. In 2009.
  • Hofer M, Strauß G, Dittrich D, Dietz A, Strauß M. Ein neues Visualisierungssystem für die HNO-Chirurgie: das HD-Panoramic Visualisation System (HD-PVS). In 2009.
  • Grametzki S, Treichel T, Burgert O. Vergleich nicht-kommerzieller Krankenhausinformationssysteme für wissenschaftliche Testumgebungen am Beispiel von TIMMS. In 2009.
  • Gessat M, Treichel T, Lemke H, Burgert O. DICOM in Surgery - Requirements for Digital Data Exchange in the Perioperative Surgical Workflow. In 2009. p. 352–5.
  • Gessat M, Karar M, Walther T, Falk V, Burgert O. Computer Assisted Transapical Aortic Valve Implantation. In München; 2009.
  • Gessat M, Merk D, Falk V, Walther T, Jacobs S, Nöttling A, et al. A planning system for transapical aortic valve implantation. In Lake Buena Vista; 2009.
  • Geißler N, Strauß G, Jannin P, Korb W. Color design for an AR-enhanced advice system in surgery. In 2009. p. 954–7.
  • Geißler N, Korb W, Wellein D, Voitel L, Neophytou F, Mueller K, et al. Effects of automation to the surgeon. In 2009. p. 154–7.
  • Geißler N, Strauß G, WEllein D, Voitel L, Lubrich A, Neophytou F, et al. Visualization as Tool to Minimize Possible Negative Automation Consequences. In 2009.
  • Geißler N, Korb W, Strauß G, Wellein D, Voitel L, Neophytou F, et al. Validation for an AR-Enhanced Advise System in Surgery. In 2009. p. 257–60.
  • Geißler N, Korb W, Wellein D, Voitel L, Neophytou F, Mueller K, et al. Color Design for an AR-Enhanced Advise System in Surgery. In 2009.
  • Franke S, Bohn S, Strauß G, Burgert O, Gessat M. Navigated Mapping of Streamed Sensor Data. In 2009.
  • Feder S, Falk V, Gutberleth M, Bartz D. Individuelle Templates für die Rekonstruktion der linken Herzventrikel. In 2009. p. 331–5.
  • Eisenhut C, Schneider S, Meißner C, Pretschner A, Neumuth T. Erkennung von Operationsverläufen mit Hilfe von Sensornetzwerken. In 2009.
  • Dittrich E, Hofer M, Strauß G, Dietz A. Untersuchungen zur landmarkenbasierten Registrierung eines Navigationssystems an der lateralen Schädelbasis. In 2009.
  • Dietzsch J, Heinrich J, Nieselt K, Bartz D. SpRay: A Visual Analytics Approach for Gene Expression Data. In 2009. p. 179–86.
  • Chalopin C, Mayoral R, Lindner D. Extraction of cerebral vascular structures in 3D intraoperative ultrasound data. In 2009.
  • Chalopin C, Lindner D, Mayoral R. Segmentation of cerebral blood vessels in 3D intraoperative ultrasound angiographic data (3D-iUSA). In 2009. p. 109–11.
  • Burgert O, Treichel T, Gessat M. The Role of DICOM for Modular Perioperative Surgical Assist Systems Design. In 2009.
  • Burgert O. Modular Surgical Assist Systems - Design Challenges and early solutions. In Mexico City; 2009. p. 1–4.
  • Burgert O. Modular Model-based Surgical Assist Systems. In 2009. p. 15–21.
  • Burgert O. Design Aspects for Modular Surgal Assist Systems, Model-based Design of Trustworthy Health Information System. In Dagstuhl; 2009. p. 3.
  • Born S, Iwamaru D, Pfeifle M, Bartz D. Three-step segmentation of the lower airways with advanced leakage-control. In 2009. p. 239–50.
  • Born S, Jainek W, Hlawitschka M, Scheuermann G, Trantakis C, Meixensberger J, et al. Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods. In 2009.
  • Bohn S, Michael G, Franke S, Voruganti A, Burgert O. An integrated OR system based on open standards. In 2009.
  • Bohn S, Lessnau M, Burgert O. Monitoring and Diagnosis of Networked Medical Hardware and Software for the Integrated Operating Room, Proceedings of 2nd Joint Workshop on High-Confidence Medical Devices, Software and Systems and Medical Device Plug-and-Play Interoperability. In San Francisco; 2009.

Publications from 2008

  • Lindner D, Renner H, Korb W, Fritzsch D, Trantakis C, Meixensberger J. Intraoperative contrast enhanced ultrasound angiography (tUSA) in cerebrovascular surgery – first results. In: 59 Jahrestagung der Deutschen Gesellschaft für Neurochirurgie. 2008.
  • Maass H, Cakmak H, Ritter N, Kuehnapfel U. KisGrid - a New Network for Surgery Training. Int J CARS,. 2008;3(Suppl 1):127.
  • Meixensberger J. Modellgestützte Therapie – Einfluss und Auswirkungen auf das Betätigungsfeld des Chirurgen. In: Niederlag W, Lemke HU, Meixensberger J, Baumann M, editors. Modellgestützte Therapie. Health Academy; 2008. p. 271–7.
  • Mudunuri R, Gessat M, Hofer M, Strauß G, Burgert O. Ontological Enhancement for Implant Planning of Middle Ear. In: 5th International Conference on Computer Aided Surgery around the Head. 2008.
  • Neugebauer R, Weidlich D, Scherer S, Wabner M. Glyph Based Representation of Principal Stress Tensors in Virtual Reality Environments. Production Engineering 2. 2008;179–83.
  • Neumuth T, Mansmann S, Scholl MH, Burgert O. Data Warehouse Technology for Surgical Workflow Analysis. In: IEEE Computer-Based Medical Systems 2008. Los Alamitos, CA, USA: IEEE Computer Society; 2008. p. 230–5.
  • Salah Z, Dammann F, Schwaderer E, Kastner M, Straßer W, Bartz D. Model-based Planning of a Robotic Milling for Complete Mastoidectomies. In: Computer Assisted Radiology and Surgery. Barcelona, Spain; 2008.
  • Runge A, Dittrich E, Grunert R, Strauß M, Lüth TC, Dietz A, et al. Manual Accuracy In Oto Surgery In Comparison With A Miniature Master Slave Device. In: Computer Aided Surgery around the Head (CAS-H). 2008.
  • Schaller C, Wellein D, Born S, Bartz D. Hatch Textures for Virtual Endoscopy. In: Workshop Bildverarbeitung für die Medizin. Berlin, Germany; 2008.
  • Schaller C, Wellein D, Born S, Bartz D. Increasing Depth Perception In Virtual Endoscopy. In: Computer-assisted Surgery around the Head. 2008.
  • Bartz D. Virtuelle Realität und die Medizin, ein Widerspruch? In: Schenk M, editor. IFF Wissenschaftstage - VR in der Medizin. Magdeburg: Fraunhofer Institut für Fabrikbetrieb und -automatisierung; 2008. p. 81–5.
  • Bartz D, Bohn S, Hoffmann J. curac.08 Tagungsband. - 7. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. Leipzig; 2008.
  • Bartz D, Cunningham D, Fischer J, Wallraven C. State-of- the-Art of the Rolse of Perception for Computer Graphics. Proceedings of Eurographics. 2008;1(4):65–86.
  • Bartz D, Preim B. Visualisierung und virtuelle Realität in der Medizin. In: Workshop Bildverarbeitung für die Medizin, Tutorial 1. Berlin; 2008. p. 1–250.
  • Berliner L, Lemke HU. From Model-Guided Therapy to Model-Based Evidence: Potential Impact on Medical Outcomes, Economics and Ethics. In: Niederlag W, Lemke HU, Meixensberger J, Baumann M, editors. Modellgestützte Therapie. Health Academy; 2008. p. 253–70.
  • Bohn S, Burgert O, Mayoral R. Towards a generic systems integration and device operation model for the digital operating room. Int J CARS. 2008;3(Suppl 1):146–7.
  • Bohn S, Mayoral R, Burgert O. Modell-basierte medizinische Geräteintegration für den Digitalen Operationssaal. In: Zöllner I, Klar R, editors. Proceedings of GMDS 2008. Düsseldorf: German Medical Science GMS; 2008. p. 61–3.
  • Bohn S, Mertes C, Dirk S, Röttger S, Manzey D, Strauss G. The effects of computer assisted navigation on learning behavior in biomedical education. In: Washington University Saint Louis, editor. Proceedings of Biomedical Engineering Society Annual Fall Meeting. St.Louis: MIRA Digital Publishing; 2008.
  • Born S, Wellein D, Strauß G, Bartz D. Visualization Of Middle Ear Anatomy For Ossicle Implant Planning. In: Computer-assisted Surgery around the Head. 2008.
  • Burgert O. Anforderungen der modellgestützten Therapie an die Informations-und Kommunikationstechnologien. In: Niederlag W, Lemke HU, Meixensberger J, Baumann M, editors. Modellgestützte Therapie. Health Academy; 2008. p. 55–66.
  • Burgert O, Gessat M, Jacobs S, Falk V, Lemke HU. Steps towards Open Standards for Medical Virtual Reality Systems. Stud Health Technol Inform. 2008;132:62–77.
  • Dietzsch J, Heinrich J, Nieselt K, Bartz D. Visual Analysis of Microarray Data from Bioinformatics Applications. In: Wilhelm- Schickard-Institut, editor. WSI-TechReports. Tübingen: Universitätsbibliothek Tübingen; 2008. p. 1–13.
  • Dittrich E, Strauß G, Gessat M, Dietz A, Hofer M. Verbesserungen in der Arbeitsraumprogrammierung für die navigiert-kontrollierte NNH-Chirurgie. In: 79 Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. 2008.
  • Dornheim J, Born S, Zachow S, Gessat M, Wellein D, Strauß G, et al. Bildanalyse, Visualisierung und Modellerstellung für die Implantatplanung im Mittelohr. In: Simulation and Visualization. Magdeburg, Germany; 2008. p. 139–52.
  • Ehlert A, Bartz D. 3D Processing and Visualization of Scanned Forensic Data. In: 2nd International Workshop on Computational Forensics. Springer LNCS; 2008.
  • Ender J, Koncar-Zeh J, Mukherjee C, Jacobs S, Borger MA, Viola C, et al. Value of Augmented Reality-Enhanced Transesophageal Echocardiography (TEE) for Determining Optimal Annuloplasty Ring Size During Mitral Valve Repair. The Annals of Thoracic Surgery. 2008;86(5):1473–8.
  • Gessat M, Strauß G, Burgert O. Integration of implant planning workflows into the PACS infrastructure. In: Andriole KP, Siddiqui KM, editors. Medical Imaging 2008: PACS and Imaging Informatics Proceedings of the SPIE. 2008. p. 69190V-69190V – 11. (Presented at the Society of Photo-Optical Instrumentation Engineers (SPIE) Conference; vol. 6919).
  • Galander C, Lindner D, Trantakis C, Korb W, Liebmann P, Meixensberger J. Development of a multimodal vascular phantom for evaluation of angiographic procedures: Accuracy of 3D- DSA, 3D- CTA, 3D- MRA and 3D-Power-Doppler-US. In: 59 Jahrestagung der Deutschen Gesellschaft für Neurochirurgie. 2008.
  • Greß O, Lindner D, Chakravarty M, Audette M. Minimally Supervised Method for Identifying Cranial Nerves in Anatomical Data. In: International Conference Pattern Recognition. 2008.
  • Gress O, Lindner D, Trantakis C, Meixensberger J, Strauß G, Jan J, et al. Minimally Supervised Method for Identifying Cranial Nerves in Histological Data. In: Computer Aided Surgery around the Head. 2008.
  • Grühser C, Ritter N, Strauß G, Maass H, Audette M. Development of a Tool-centered Collision Model for Volumetric Resection in ENT Surgery Simulation. In: M. Ferre, editor. Haptics: Perception, Devices and Scenarios. Madrid: Springer Berlin / Heidelberg; 2008. p. 930–5. (Lecture Notes in Computer Science).
  • Grühser C, Strauß G, Maass H, Audette M. Sinus Surgery Simulator using the Blakesley Forceps. Int J CARS,. 2008;3(Suppl 1):252–3.
  • Heinrich J, Dietzsch J, Bartz D, Niesel K. SpRay - An R- based Visual Analytics Platform for Large and High-dimensional Datasets. In: Proc of UseR! 2008.
  • Hofer M, Dittrich E, Aumeier C, Neumuth T, Dietz A, Strauss G. Manual facial nerve segmentation in high resolution CT images - accuracy and comparison to an semi-automatic segmentation. In: International Journal of Computer Assisted Radiology and Surgery (CARS). Springer; 2008. p. 83–5.
  • Hofer M, Dittrich E, Scholl C, Strauß M, Dietz A, Lüth TC, et al. First Clinical Evaluation Of The Navigated Controlled Drill At The Lateral Skull Base. In: Computer Aided Surgery around the Head (CAS-H) [Internet]. 2008. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18391280
  • Hofer M, Strauß M, Stopp S, Schenk C, Lüders S, Dietz A, et al. Integrating Functional Information of the Facial Nerve in CT-Navigation Data for Control of Powered Instruments in Skull Base Surgery. Int J CARS. 2008;3(Suppl 1):261–3.
  • Jacobs S, Falk V. Medical Robotics in Cardiac Surgery. In: Bozovic V, editor. Medical Robotics. Vienna, Austria: I-Tech Education and Publishing; 2008. p. 167–74.
  • Jacobs S, Grunert R, Mohr F, Falk V. 3D-Imaging of cardiac structures using 3D heart models for planning in heart surgery: a preliminary study. Interactive CardioVascular and Thoracic Surgery. 2008;7(1):6–9.
  • Jacobs S, Holzhey D, Falk V. Value of augmented reality enhanced transesophageal echocardiography (TEE) for determining optimal annuloplaysty ring size during mitral valve repair. Int J CARS. 2008;3(Suppl 1):88–9.
  • Jacobs S, Merk D, Holzhey D, Falk V. Modellbasierte Therapie in der Herzchirurgie. In: Niederlag W, Lemke H, Meixensberger J, Baumann M, editors. Modellgestützte Therapie. Health Academy; 2008. p. 132–9.
  • Jainek W, Born S, Bartz D, Straßer W, Fischer J. Illustrative Hybrid Visualization and Exploration of Anatomical and Functional Brain Data. Computer Graphics Forum. 2008;27(3):855–62.
  • Jannin P, Korb W. Assessment of image-guided interventions. In: Peters T, Cleary K, editors. Image-Guided Intervention Principles and Applications. Berlin-Heidelberg: Springer-Verlag; 2008. p. 531–49.
  • Korb W, Grunert R, Möckel H, Poessneck A, Hofer M, Strauss G. Simulation of Surgical Procedures with Physical Electronic Patient Phantoms for Training and Technology Assessment. In: Kettenbach J, Kronreif G, editors. 20th Internat Conference of the Society for Medical Innovation and Technology – SMIT 2008. Wien: Electronic Proceedings; 2008. p. 250–4.
  • Lemke HU. Entwicklung von Qualität und Kosten moderner Diagnose- und Therapietechnologien - Zeithorizont 2025. In: Niederlag W, Lemke HU, Nagel E, Dössel O, editors. Gesundheitswesen 2025. Dresden, Germany: Health Academy; 2008. p. 27–41.
  • Lemke HU. Modellgestützte Therapie, patientenspezifisches Modell und modellbasierte Evidenz. In: Berliner L, Niederlag Wolfgang, Lemke HU, Meixensberger Jürgen, Baumann Michael, editors. Modellgestützte Therapie. Health Academy; 2008. p. 13–24.
  • Lemke HU, Berliner L. The Time for TIMMS. Enterprise Imaging and Therapeutic Radiology Management. 2008;18(11):36–40.
  • Lemke HU, Peitgen H, Baumann M, Dössel O, Falk V, Meixensberger J. Wo liegen die Chancen und die Risiken der modellgestützten Therapie? In: Niederlag W, Lemke HU, Meixensberger J, Baumann M, editors. Modellgestützte Therapie. Dresden: Health Academy; 2008. p. 289–304.
  • Li F, Bartz D, Gu L, Audette M. An Iterative Classification Method of 2D CT Head Data Based on Statistical and Spatial Information. In: Proc of International Conference on Pattern Recognition (ICPR). Tampa, Fl, USA; 2008. p. 1–4.
  • Voruganti A, Kumar R, Bartz D. Alternative online extrinsic calibration techniques for minimally invasive surgery. In: Proceedings of the ACM symposium on Virtual reality software and technology. 2008. p. 291–2.
  • Klein J, Bartz D, Friman O, Hadwiger M, Preim B, Ritter F, et al. Advanced Algorithms in Medical Computer Graphics. In: Annex to the Conference Proceedings of EUROGRAPHICS. Hersonissos, Greece: Eurographics Association; 2008. p. 25–44.

Publications from 2007

  • Hofer M, Grunert R, Dittrich E, Müller E, Möckel M, Koulechov K, et al. Surgery on the Lateral Skull Base with the Navigated Controlled Drill Employed for a Mastoidectomy (Pre Clinical Evaluation). In: Medicine Meets Virtual Reality 15. Amsterdam: IOS Press; 2007. p. 179–84.
  • Pardowitz M, Glaser B, Dillmann R. Learning repetitive robot programs from demonstrations using version space algebra. 13th IASTED International Conference on Telematics. 2007;394–9.
  • Pfeifle M, Born S, Fischer J, Duffner F, Tatagiba M, Hoffmann J, et al. VolV - Eine OpenSource-Plattform für die medizinische Visualisierung. In: 6 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV (CURAC). 2007. p. 193–6.
  • Jacobs S, Falk V, Holzhey D, Mohr FW. Perspectives in endoscopic cardiac surgery. Comput Biol Med. 2007;37(10):1374–6.
  • Jacobs S, Holzhey D, Falk V, Garbade J, Walther T, Mohr FW. High Risk Patients with Multivessel Disease - Is There a Role for Incomplete Myocardial Revascularization via Minimally Invasive Direct Coronary Artery Bypass Grafting? Heart Surg Forum. 2007;10(6):459–62.
  • Jacobs S, Holzhey D, Stein H, Mohr F, Falk V. Catheter-based endoscopic bypass grafting: an experimental feasibility study. Ann Thorac Surg. 2007;84(5):1727–8.
  • Jacobs S, Mohr F, Falk V. Concept of Active Motion Compensation: Modeling and Prediction of Aortic Root Motion to Guide Automatically implantation of a valve Prothesis. Minimally Invasive therapie Allied Technologies. 2007;16(5).
  • Jacobs S, Holzhey D, Strauß G, Burgert O, Falk V. The Impact of Haptic Learning in Telemanipulator-assisted Surgery. Surg Laparosc Endosc Percutan Tech. 2007;17(5):402–6.
  • Komma P, Fischer J, Duffner F, Bartz D. Lossless Volume Data Compression Schemes. In: Schulze Thomas, Preim B, Schumann Heidrun, editors. SimVis. SCS Publishing House e.V.; 2007. p. 169–82.
  • Korb W, Burgert O, Schulze-Kissing D, Riener R. Kooperative Mensch-Maschine Systeme der Chirurgie und Rehabilitation. AT –Automatisierungstechnik. 2007;55(10):511–21.
  • Liebmann P, Gessat M, Burgert O. Implementation of a Particle Filter Algorithm for Segmentation of Vessels in 3D-Doppler Ultrasound Data. In: CURAC. 2007. p. 141–4.
  • Lindner D, Renner C, Korb W, Roth H, Trantakis C, Meixensberger J. Erste Erfahrungen in der Anwendung der kontrastverstärkten Ultraschallangiographie bei komplexen Aneurysmaoperationen. In: CURAC. 2007. p. 201–3.
  • Lindner D, Trantakis C, Meixensberger J. 3D - ultrasound in Neurosurgery – a new intraoperative method. Hospital Healthcare Europe. 2007;
  • Mansmann S, Neumuth T, Scholl MH. Multidimensional Data Modeling for Business Process Analysis. In: Proc of the 26th International Conference on Conceptual Modeling (ER 2007). 2007. p. 23–38.
  • Mansmann S, Neumuth T, Scholl MH. OLAP Technology for Business Process Intelligence: Challenges and Solutions. In: Il Yeal Song, Johann Eder, Tho Manh Nguyen, editors. Data Warehousing and Knowledge Discovery - 9th International Conference (DaWaK). Springer; 2007. p. 111–22.
  • Möckel H, Grunert R, Pößneck A, Hofer M, Thalheim M, Strauß G, et al. ElePhant: Ein anatomisch-elektronisches Simulationssystem für die Evaluation Computerassistierter Eingriffe und die chirurgische Ausbildung. Biomedizinische Technik. 2007;52(6):375–82.
  • Mayoral R, Kehrt T, Korb W. Simulation of data flow in a surgical PACS. In: International Journal of Computer Assisted Radiology and Surgery. 2007. p. 438–40.
  • Mudunuri R, Neumuth T, Strauß G, Dietz A, Burgert O. Ontological Enhancement for Computer Assisted Functional Endoscopic Sinus Surgery. In: 4th International Conference on Computer Aided Surgery around the Head. 2007. p. 119–22.
  • Mudunuri R, Neumuth T, Strauß G, Dietz A, Meixensberger J, Burgert O. SOCAS – Surgical Ontologies for Computer Assisted Surgery. In: Proceedings of the 21st International Congress on Computer Assisted Radiology and Surgery. 2007. p. S481.
  • Neumuth T, Mudunuri R, Jannin P, Meixensberger J, Burgert O. SWAN-Suite: The tool landscape for surgical workflow analysis. In: Troccaz J, Merloz P, editors. Computer Assisted Medical and Surgical Interventions (SURGETICA). Paris: Sauramps Medical; 2007. p. 199–204.
  • Neumuth T, Mudunuri R, Strauß G, Meixensberger J, Burgert O. SWAN-Suite: Ein Software-Framework für Chirurgische Prozessmodelle. In: Wörn H, Spetzger U, editors. Tagungsband zur 6 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e V (CURAC). Leipzig: Pro Business; 2007. p. 313–6.
  • Neumuth T, Pretschner A, Burgert O. Surgical Workflow Monitoring with Generic Data Interfaces. In: Computer Science meets Automation - 52nd International Scientific Colloquium (IWK). Ilmenau: TU Ilmenau; 2007. p. 97–102.
  • Neumuth T, Trantakis C, Eckhardt F, Dengl M, Meixensberger J, Burgert O. Supporting the analysis of intervention courses with surgical process models on the example of fourteen microsurgical lumbar discectomies. In: Lemke H, Inamura K, Doi K, Vannier M, editors. Int J Comput Assist Radiol Surg - Proc of. Berlin: Springer; 2007. p. 436–8.
  • Burgert O, Örn V, Velichkovsky BM, Gessat M, Joos M, Strauß G, et al. Evaluation of Perception Performance in Neck Dissection Planning using Eye Tracking and Attention Landscapes. In: Jiang Y, Sahiner B, editors. Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment. Bellingham, WA, USA; 2007. p. 65150B. (Proceedings of SPIE Vol.6515; vol. 8).
  • Burgert O, Neumuth T, Gessat M, Jacobs S, Lemke HU. Deriving DICOM Surgical Extensions from Surgical Workflows. In: Horii SC, Andriole KP, editors. Medical Imaging 2007 PACS and Imaging Informatics. Belligham, Washington, USA; 2007. p. 651604.
  • Burgert O, Neumuth T, Audette M, Pössneck A, Mayoral R, Dietz A, et al. Requirement Specification for Surgical Simulation Systems with Surgical Workflows. In: Medicine Meets Virtual Reality 15 [Internet]. Amsterdam: IOS Press; 2007. p. 58–63. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17377234
  • Burgert O. Telesurgery - Expectations and Reality. International Journal of Health Care Engineering. 2007;15:Appendix.
  • Bartz D, Burgert O. Visual Medicine: Techniques and Applications for Computer-Assisted Surgery. In: EuSIPCO 2007. 2007. p. 1–72.
  • Blanco H, Vázquez A. Generalización del sistema PACS iMagis®. In: VII Congreso de la Socidad Cubana de Bioingenieria Habana 2007. 2007.
  • Bohn S, Korb W, Schulz H, Lindner D, Vazquez A, Strauß G, et al. Integration of Intraoperative Visible Light Image Acquisition and PACS Storage. In: 41 Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik im VDE. Aachen; 2007.
  • Bohn S, Mayoral R, Vorganti A, Burgert O, Korb W. Automatische Konfiguration und Diensterkennung für vernetzte medizinische Geräte im digitalen OP. In: 6 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV - CURAC. Karlsruhe; 2007.
  • Galander C, Lindner D, Trantakis C, Möckel H, Liebmann P, Korb W, et al. Entwicklung eines multimodalen Gefäßphantoms zur Evaluation der Genauigkeit der angiographischen Verfahren 3D-DSA, 3D-CTA, 3D-MRA und 3D-Doppler. In: CURAC. 2007. p. 137–40.
  • Gessat M, Hofer M, Audette M, Dietz A, Meixensberger J, Strauß G, et al. Workspace definition for navigated control Functional Endoscopic Sinus Surgery. In: Kevin R. Cleary, Michael I. Miga, editors. SPIE Medical Imaging: Visualization and Image-Guided Procedures. 2007. p. 650–921.
  • Gessat M, Zachow S, Lemke HU, Burgert O. Geometric Meshes in Medical Applications - Steps towards a Specification of Geometric Models in DICOM. In: Lemke HU, Inamura K, Doi K, Vannier M, Farman A, editors. International Journal of Computer Assisted Radiology and Surgery. 2007. p. 440–2.
  • Grunert R, Möckel H, Dengl M, Trantakis C, Korb W, Koegler C, et al. ElePhant - An Electronic Phantom for evaluation in spine surgery. In: Proceedings of the Biomedical Engineering Society (BMES). Los Angeles; 2007. p. 35.
  • Grunert R, Möckel H, Dengl M, Trantakis C, Korb W, Meixensberger J. ElePhant – An Electronic Phantom For Evaluation in Spine Surgery. In: Annual meeting of the Biomedical Engineering Society. 2007.
  • Grunert R, Möckel H, Korb W, Dietz A, Strauss G. Visualisierung und Simulation an optoelektrischen Modellen mit zusätzlicher Softwarevisualisierung. In: Herbsttagung der Arbeitsgemeinschaft Deutschsprachiger Audiologen und Neurootologen (ADANO). Köln; 2007.
  • Grunert R, Poessneck A, Hofer M, Möckel H, Dietz A, Korb W, et al. ElePhant-Electronic Phantom for Otologic Surgery Simulation. In: Annual meeting of the American Academy of Otolaryngology-Head and Neck Surgery Foundation. 2007.
  • Cernik J, Schnaidt B, Gauckler L, Bartz D. Curvilinear Grid Filtering by Adaptive Evaluation. In: Schulze T, Preim B, Schumann H, editors. SimVis. SCS Publishing House e.V.; 2007. p. 197–208.
  • Cernik J, Schnaidt B, Gaukler L, Duffner F, Tatagiba M, Bartz D. Kontrastverstärkende nichtlineare Filterung. In: 6 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV (CURAC). 2007. p. 205–8.
  • Dietz A, Korb W, Strauss G. Operationsmikroskop und Endoskop als Instrument zur interaoperativen Bildgebung. MedReport,. 2007;31(22):4–5.
  • Dittrich E, Hofer M, Baumberger C, Strauß M, Koulechov K, Grunert R, et al. Improved accuracy of the navigated controlled drill for otologic surgery. In: International Journal of Computer Assisted Radiology and Surgery. 2007. p. 233–5.
  • Dittrich E, Spitzer C, Hofer M, Korb W, Dietz A, Strauss G. Evaluation verschiedener Gebissabformmaterialien auf Eignung für nicht-invasive Registrierverfahren bei der Navigation. In: 6 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV, CURAC. Karlsruhe; 2007. p. 111–4.
  • Dittrich E, Strauß G, Hofer M, Dietz A, Korb W, Koulechov K, et al. Improved accuracy and precision of navigated controlled mill for ENT surgery. In: Proceedings of 4th International CAS-H Conference. 2007. p. 37–8.
  • Dittrich E, Strauß G, Hofer M, Dietz A, Baumberger C, Grunert R, et al. Verbesserte Genauigkeit und Präzision der navigiertkontrollierten Fräse für die Ohrchirurgie. In: 78 Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie eV. 2007.
  • Fischer J, del Rio A, Neff M, Flossmann S, Duffner F, Hoffmann J, et al. The ARGUS System: Surgical Mixed Reality based on Image Guided Surgery, Extensions, and Applications. In: Computer-Assisted-Surgery around the Head. 2007.
  • Holzhey DM, Jacobs S, Mochalski M, Walther T, Thiele H, Mohr FW, et al. Seven-year follow-up after minimally invasive direct coronary artery bypass: experience with more than 1300 patients. Ann Thorac Surg. 2007;83(1):108–14.
  • Preim B, Bartz D, Ritter F, Mueller K, Zuiderveld K. Introduction to Visual Medicine: Techniques, Applications, and Software. IEEE Visualization Tutorials. 2007;8:1–42.
  • Strauß G, Hofer M, Kehrt S, Grunert R, Korb W, Trantakis C, et al. Ein Konzept für eine automatisierte Endoskopführung für die Nasennebenhöhlenchirurgie. HNO. 2007;55(3):177–84.
  • Strauß G, Hofer M, Kehrt S, Grunert R, Korb W, Trantakis C, et al. Manipulator Assisted Endoscope Guidance in Functional Endoscopic Sinus Surgery: Proof of Concept. HNO. 2007;55(3):177–84.

Publications from 2006

  • Adermann J, Trantakis C, Strauß G, Korb W, Nowatius E, Meixensberger J. The influence of haptic force feedback on learning curves for a neurosurgical VR-simulator. In: 5th Leipzig Research Festival for Life Sciences. 2006. p. 96.
  • Audette M, Delignette H, Fuchs A, Chinzei K. Topologically Faithful, Tissue-guided, Spatially Varying Meshing Strategy for the Computation of Patient-specific Head Models for Endoscopic Pituitary Surgery Simulation. In: Medicine Meets Virtual Reality 14. Amsterdam: IOS Press; 2006. p. 22–7.
  • Audette M, Hayward V, Koseki Y, Sinclair I. Towards a flexible 7-DOF haptic device for tool-specific surgical simulation, with applications to simulating trans-nasal pituitary surgery. In: Computer Assisted Radiology and Surgery (CARS). 2006.
  • Bahrami N, Nowatius E, Strauß G, Trantakis C, Cakmak H, Maaß H, et al. Evaluation einer patientenindividuellen Simulation der Mastoidektomie. In: 77 Jahresversammlung der Deutschen Gesellschaft fürHals-Nasen-Ohren-Heilkunde, Kopf-und Hals-Chirurgie. Mönchengladbach: rheinware Verlag; 2006. p. 95.
  • Bohn S, Korb W, Burgert O, Lindner D, Meixensberger J, Trantakis C, et al. Zero-Configuration Networking for Medical Devices in the Integrated Digital Operating Room. In: International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer; 2006. p. 459–60.
  • Bohn S, Korb W, Burgert O, Lindner D, Meixensberger J, Trantakis C, et al. Zero-Configuration Networking for Medical Devices in the Integrated Digital Operating Room. Int J CARS. 2006;1(1 (Suppl.)):459–60.
  • Burgert O, Neumuth T, Fischer M, Falk V, Strauß G, Trantakis C, et al. Surgical Workflow Modeling. In: Medicine Meets Virtual Reality (MMVR) 2006, Long Beach, USA. 2006. p. 36.
  • Burgert O, Neumuth T, Fischer M, Strauß G, Dietz A, Meixensberger J, et al. System Engeneering und Evaluation von mechatronischen Assistenzsystemen für die Chirurgie. In: Löffler M, Winter A, editors. GMDS Klinische Forschung vernetzen. Leipzig: GMDS Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V; 2006. p. 255–6.
  • Burgert O, Neumuth T, Lempp F, Mudunuri R, Meixensberger J, Strauß G, et al. Linking Top-level Ontologies and Surgical Workflows. In: International Journal of Computer Assisted Radiology and Surgery. 2006. p. 437–8.
  • Burgert O, Strauß G, Neumuth T, Fischer M, Meixensberger J, Lemke HU, et al. Surgical Workflow Analysis in Endoscopic Surgery. In: 14th International Congress of the European Association for Endoscopic Surgery (EAES). 2006. p. 177–8.
  • Cordes J, Dornheim J, Preim B, Strauss G, Hertel I. Preoperative Segmentation of Neck CT Datasets for the Planning of Neck Dissections. In: Joseph M, Reinhardt J, Pluim PW, editors. Medical Imaging 2006: Image Processing Proceedings of the SPIE. 2006. p. 1447–56.
  • Descôteaux M, Audette M, Chinzei K, Siddiqi K. Bone enhancement filtering: application to sinus bone segmentation and simulation of pituitary surgery. Journal of Computer Aided Surgery. 2006;
  • Dittrich E, Grunert R, Hofer M, Koulechov K, Strauß M, Korb W, et al. Farbkodiertes Phantom für Genauigkeitsstudien in der computer-assistierten Chirurgie. In: 5th Leipzig Research Festival for Life Sciences. 2006. p. 173.
  • Dornheim J, Dornheim L, Preim B, Hertel I, Strauss G. Generation and Initialization of Stable 3D Mass-Spring Models for the Segmentation of the Thyroid Cartilage. In: DAGM-Symposium. 2006. p. 162–71.
  • Fischer M, Burgert O, Neumuth T, Dietz A, Lemke HU, Strauss G. Limitations in endolaryngeal surgery - Analysis of development potential by surgical workflows. In: International Journal of Computer Assisted Radiology and Surgery. 2006. p. 440–2.
  • Fischer M, Strauß G, Burgert O, Neumuth T, Dietz A. Limitationen und Entwicklungspotential in der endolaryngealen Chirurgie: Eine objektive Problemanalyse. In: 77 Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. Mönchengladbach: rheinware Verlag; 2006. p. 140–1.
  • Grunert R, Hofer M, Korb W, Möckel H, Thalheim M, Strauß G, et al. Improved pre-operative planning with Rapid Prototyping of the lateral skull base. In: 77 Jahresversammlung der Deutschen Gesellschaft fürHals-Nasen-Ohren-Heilkunde, Kopf-und Hals-Chirurgie. Mönchengladbach: rheinware Verlag; 2006. p. 224–5.
  • Grunert R, Strauß G, Möckel H, Hofer M, Poessneck A, Fickweiler U, et al. ElePhant - An anatomical Electronic Phantom as Rapid Prototyping Simulation-system for oto-rhino-laryngoscopic-surgery. In: IEEE-EMBC. 2006. p. 312–3.
  • Haase R, Korb W, Lindner D, Bohn S, Trantakis C, Arnold S, et al. Freehand Calibration of 3D Ultrasound Navigation. In: 5 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV, CURAC 2006. 2006. p. 130–1.
  • Hertel I, Strauß G, Schulz T, Dornheim J, Cordes J, Krüger A, et al. Dreidimensionale Visualisierungen von Trachealstenosen zur chirurgischen Therapieplanung. In: 77 Jahresversammlung der Deutschen Gesellschaft fürHals-Nasen-Ohren-Heilkunde, Kopf-und Hals-Chirurgie. Mönchengladbach: rheinware Verlag; 2006. p. 41.
  • Hertel I, Strauß G, Schulz T, Dornheim J, Cordes J, Krüger A, et al. Three-dimensial visualisation of CT-data for surgical planning in trachea resection: proof of concept. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 312–3.
  • Hofer M, Grunert R, Dittrich E, Müller E, Möckel H, Koulechov K, et al. The Mastoidectomy with Navigated Control - First technical Trial. In: 5 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV, CURAC 2006. 2006. p. 187.
  • Hofer M, Grunert R, Möckel H, Thalheim M, Meixensberger J, Dietz A, et al. Präklinische Evaluation im Labor und Demonstrator-OP. In: Löffler M, Winter A, editors. GMDS Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie eV. 2006. p. 261.
  • Hofer M, Strauß G, Grunert R, Korb W, Müller E, Möckel H, et al. A pre-clinical evaluation of the navigated-control drill for surgery of the petrosal bone. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 320–1.
  • Hofer M, Strauß G, Koulechov K, Fischer M, Neumuth T, Trantakis C, et al. First clinical trial of the navigated controlled shaver in functional endoscopic sinus surgery. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 318–20.
  • Jacobs S. Computerassistierte Herzchirurgie. In: Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS). 2006. p. 277.
  • Jacobs S, Falk V, Thiele H, Schuler G, Holzhey D, Mochalski M, et al. MACE Rate after MIDCAB and PCI in single vessel disease: 5 years follow-up of a randomized trial. In: 35 Jahrestagung DGTHG, Hamburg, Germany. 2006. p. 287–8.
  • Jacobs S, Holzhey D, Burgert O, Korb W, Falk V. The Impact of haptic-visual versus visual only learning in telemanipulator assisted surgery. In: International Journal of CARS. 2006. p. 487–515.
  • Jacobs S, Holzhey D, Grunert R, Burgert O, Korb W, Falk V. 3-D Rapid Prototyping of Cardiac Structures for guidance in Heart Surgery3-D Rapid Prototyping of Cardiac Structures for guidance in Heart Surgery. In: Proceedings of CURAC. 2006. p. 142–3.
  • Janke C, Tietjen C, Baer A, Zwick C, Preim B, Hertel I, et al. Design und Realisierung eines Softwareassistenten zur Planung von Halsoperationen. In: Heinecke, Andreas M., editor. Mensch & Computer 2006: Mensch und Computer im StrukturWandel. Oldenbourg Verlag; 2006. p. 373–8.
  • Klein S, Strauß G, Hertel I, Burgert O, Tietjen C, Preim B, et al. Der Einfluss der Visualisierung von dreidimensionalen radiologischen Befunden in der Halschirurgie. In: 77 Jahresversammlung der Deutschen Gesellschaft fürHals-Nasen-Ohren-Heilkunde, Kopf-und Hals-Chirurgie. Mönchengladbach: rheinware Verlag; 2006. p. 155.
  • Korb W, Bohn S, Burgert O, Dietz A, Jacobs S, Falk V, et al. Surgical PACS for the Digital Operating Room. In: THE 14TH ANNUAL MEDICINE MEETS VIRTUAL REALITY CONFERENCE (MMVR) 2006, Long Beach, USA. 2006. p. 51.
  • Korb W, Bohn S, Burgert O, Dietz A, Jacobs S, Falk V, et al. Surgical PACS for the digital operating room. Systems engeneering and specification of user requirements. Stud Health Technol Inform [Internet]. 2006;(119):267–72. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16404059
  • Korb W, Grunert R, Burgert O, Dietz A, Jacobs S, Falk V, et al. An Assesment Model of the Efficacy of Image Guided Therapy. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 515.
  • Korb W, Grunert R, Liebmann P, Kehrt S, Thalheim M, Hofer M, et al. Evaluation of an Endoscope Guidance Robot with Object Extraction Methods. In: 14th International Congress of the European Association for Endoscopic Surgery (EAES). 2006. p. 98.
  • Korb W, Grunert R, Möckel H, Burgert O, Thalheim M, Meixensberger J, et al. Clinical Evaluation and Surgical Education with ElePhant, the ICCAS electronic phantoms. In: Proc of Automed 2006: 6 Workshop - Automatisierungstechnische Methoden und Systeme für die Medizin. 2006.
  • Korb W, Mayoral R, Bohn S, Voruganti A, Dietz A, Jacobs S, et al. Integration of Mechatronic Components in an Open Surgical PACS Architecture. In: Löffler M, Winter A, editors. GMDS Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemologie eV. 2006.
  • Korb W, Voruganti A, Bohn S, Dietz A, Jacobs S, Falk V, et al. The integration of surgical assist systems into the operating theatre. In: Proc of Automed 2006: 6 Workshop - Automatisierungstechnische Methoden und Systeme für die Medizin. 2006.
  • Korb W, Bohn S, Burgert O, Dietz A, Jacobs S, Falk V, et al. Surgical PACS for the digital operating room. Systems engineering and specification of user requirements. Stud Health Technol Inform. 2006;119:267–72.
  • Lindner D, Trantakis C, Arnold S, Schmitgen A, Korb W, Schneider J, et al. Innovation and limitation of Intraoperative 3D-ultrasound in neurosurgery - experience in 44 patients. In: 5 Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie eV, CURAC 2006. 2006. p. 236–8.
  • Lindner D, Trantakis C, Arnold S, Schmitgen A, Schneider J, Korb W, et al. Iterative navigated resection of malignant glioma by intraoperative 3D-ultrasound. In: GMS CURAC 2006. 2006.
  • Lindner D, Trantakis C, Arnold S, Schmitgen A, Schneider J, Korb W, et al. Usability and visualisation of navigated 3D-Power Doppler in brain tumours. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 301–3.
  • Lindner D, Trantakis C, Renner C, Arnold S, Schmitgen A, Schneider J, et al. Application of intraoperative 3D ultrasound during navigated tumor resection. Minim Invasive Neurosurg. 2006;49(4):197–202.
  • Lüth TC, Hofer M, Strauß G, Koulechov K, Strauß M, Stopp S, et al. Establishing Navigated Control in Head Surgery. In: Westwood JD, editor. Technology and Informatics - Medicine Meets Virtual Reality. Amsterdam: IOS Press; 2006. p. 201–6.
  • Mayoral R, Clapworthy G. Collision Detection and Free-Form Deformation for a Total Hip Replacement Planning System. International Journal of Computer Graphics CAD/CAM. 2006;1(2):57–70.
  • Mayoral R, Lera G, Pérez-Ilzarbe MJ. Evaluation of correspondence errors for stereo. Image and Vision Computing. 2006;24(12):1288–300.
  • Möckel H, Grunert R, Hofer M, Thalheim M, Fickweiler U, Meixensberger J, et al. Anatomic and Functional Simulators for Surgical Education and Evaluation of Surgical Instrument. In: International Journal of Computer Assisted Radiology and Surgery. Springer; 2006. p. 511–2.
  • Mudunuri R, Neumuth T, Kaschek B, Strauß G, Meixensberger J, Lemke HU, et al. Role of Ontologies in Computer Assisted Surgery. In: 5th Leipzig Research Festival for Life Sciences. 2006. p. 180.
  • Neumuth T, Durstewitz N, Fischer M, Strauß G, Dietz A, Meixensberger J, et al. Structured Recording of Intraoperative Surgical Workflows. In: SPIE Medical Imaging 2006 - PACS and Imaging Informatics, Progress in Biomedical Optics and Imaging. Bellingham, WA: The International Society for Optical Engeneering; 2006. p. CID 61450A.
  • Pößneck A, Korb W, Grunert R, Möckel H, Dietz A, Strauss G. ElePhant – An Anatomic-Electronic Simulation System For Milling Training On The Human Petrous bone. In: 5 Jahrestagung der Deutschen Gesellschaft für Computer-und Roboterassistierte Chirurgie CURAC 2006. 2006. p. 124–5.

Publications from 2005

  • Eggers G, Wirtz C, Korb W, Engel D, Schorr O, Kotrikova B, et al. Robot-assisted craniotomy. Minim Invasive Neurosurg. 2005 June;48(3):154–8.
  • Burgert O. „Doc Mech, bitte zum OP“ - Chirurgische Mechatronik zwischen Vision und Realität. In: Informatik 2005, 35 Jahrestagung der Gesellschaft für Informatik, Bonn, Germany. 2005.
  • Burgert O. Planung und Unterstützung formverändernder Operationen in der kranio-fazialen Chirurgie auf Basis von Volumendaten. Karlsruhe (TH) - Fakultät für Informatik; 2005.
  • Eggers G, Wirtz C, Korb W, Engel D, Schorr O, Kotrikova B, et al. Robot-assisted craniotomy. Minim Invasive Neurosurg. 2005;48(3):1154–8.
  • Falk V, Mourgues F, Adhami L, Jacobs S, Thiele H, Nitzsche S, et al. Cardio Navigation: Planning, Simulation, and Augmented Reality in Robotic Assisted Endoscopic Bypass Grafting. Ann Thorac Surg. 2005;79(6):2040–7.
  • Falk V, Mourgues F, Vieville T, Jacobs S, Holzhey D, Walther T, et al. Augmented reality for intraoperative guidance in endoscopic coronary artery bypass grafting. Surg Tech Int. 2005;231–5.
  • Fischer M, Burgert O, Dietz A, Trantakis C, Meixensberger J, Lemke HU, et al. Der chirurgische Workflow: Instrument zur Evaluation chirurgischer Arbeitsabläufe. In: CURAC 2005. 2005.
  • Fischer M, Strauß G, Burgert O, Dietz A, Trantakis C, Meixensberger J, et al. ENT-surgical workflow as an instrument to assess the efficiency of technological developments in medicine. In: Computer Assisted Radiology and Surgery (CARS) 2005, Berlin, Germany. Amsterdam: Elsevier B. V.; 2005. p. 851–5.
  • Fischer M, Strauß G, Müller A, Dietz A, Trantakis C, Lemke HU. Der HNO-chirurgische Workflow als Instrument der Effizienzmessung medizintechnologischer Entwicklungen. HNO Informationen. 2005;
  • Hertel I, Preim B, Fedrowitz N, Tietgen C, Hintze J, Cordes J, et al. 3-D-Visualisierung in der HNO-Chirurgie: Wird die zweiplanare Darstellung radiologischer Daten abgelöst? HNO-Informationen. 2005;84:231.
  • Hertel I, Preim B, Fedrowitz N, Tietgen C, Hintze J, Trantakis C, et al. 3-D-Visualization in ENT-surgery: Ist the two-planar representation of radiological data replaceable? In: Computer Assisted Radiology and Surgery (CARS) 2005, Berlin, Germany. Amsterdam: Elsevier B. V.; 2005. p. 1346.
  • Hertel I, Strauß G, Cordes J, Hintze J, Krüger A, Dietz A, et al. Computer-guided segmentation of cervical lymphnode metastases - a new way in image analysis. In: International Symposium on Advances in Head and Neck Cancer, 2005, Marburg, Germany. 2005.
  • Hertel I, Strauß G, Cordes J, Hintze J, Krüger A, Dietz A, et al. Image Analysis for Preoperative Planning in Neck Surgery. In: The 13th Annual Medicine Meets Virtual Reality Conference (MMVR) 2005, Long Beach, USA. 2005.
  • Hertel I, Strauß G, Hintze J, Cordes J, Krüger A, Tietgen C, et al. Computer-guided visualization of the skull base - new approach in preoperative planning. Skull Base – An Interdisciplinary Approach. 2005;81.
  • Hintze J, Cordes J, Preim B, Hertel I, Strauß G, Preim U. Bildanalyse für die präoperative Planung von Neck Dissections. In: Bildverarbeitung für die Medizin. Berlin: Springer; 2005. p. 11–5.
  • Jacobs S, Holzhey D, Burgert O, Korb W, Mohr FW, Falk V. The Impact of Haptic-Visual versus Visual-Only passive Learning in Telemanipulator-assisted surgery. In: 4 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC) 2005, Berlin, Germany. 2005.
  • Kehrt S, Korb W, Dietz A, Knappe P, Meixensberger J, Mersmann S, et al. Preclinical evaluation of a mechatronic assistance system in transnasal endoscopic surgery. In: 4 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC) 2005, Berlin, Germany. 2005.
  • Korb W, Bohn S, Burgert O, Dietz A, Jacobs S, Falk V, et al. Surgical PACS for the Digital Operating RoomSystems Engineering and Specification of User Requirements. Stud Health Technol Inform 2005 [Internet]. 2005;(119):267–72. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16404059
  • Korb W, Hofer M, Burgert O, Koulechov K, Meixensberger J, Strauß G, et al. Validation and Evaluation of Navigation and Mechatronic Assisting Systems. In: Weber S, Langlotz F, Bier J, Lüth TC, editors. Computer Aided Surgery around the Head - 3rd International Symposium Proceedings. Düsseldorf: VDI Verlag; 2005. p. 82–3.
  • Korb W, Strauß G, Boettcher M, Heiligensetzer P, Krabbes M, Rolke R, et al. Safety aspects of the deployment of autonomous mechatronic systems in the medical technology. In: 4 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC) 2005, Berlin, Germany. 2005.
  • Krüger A, Tietjen C, Hintze J, Preim B, Hertel I, Strauss G. Analysis and Exploration of 3D-Visualizations for Neck Dissection Planning. In: Computer Assisted Radiology and Surgery (CARS) 2005, Berlin, Germany. Amsterdam: Elsevier B.V.; 2005. p. 497–503.
  • Krüger A, Tietjen C, Hintze J, Preim B, Hertel I, Strauss G. Interactive Visualization for Neck Dissection Planning. In: IEEE/Eurographics Symposium on Visualization (EuroVis) 2005, Leeds, UK. 2005.
  • Lindner D, Trantakis C, Arnold S, Schmitgen A, Schneider J, Meixensberger J. Neuronavigation based on intraoperative 3D-Ultrasound during tumor resection - preliminary experiences in 10 cases. In: Neurochirurgie 2005, Strasbourg, France. 2005.
  • Lindner D, Trantakis C, Arnold S, Schmitgen A, Schneider J, Meixensberger J. Neuronavigation based on intraoperative 3D-Ultrasound during tumor resection. In: Computer Assisted Radiology and Surgery (CARS) 2005, Berlin, Germany. Amsterdam: Elsevier B. V.; 2005. p. 815–20.
  • Seifert S, Burgert O, Dillmann R, Spetzger U. Deformable Modelling of the Cervical Spine for Neurosurgical Navigation. In: Payan Yohan, editor. Biomechanics Applied to Computer Assisted Surgery. Elsevier B. V.; 2005.
  • Strauß G, Koulechov K, Richter R, Trantakis C, Dietz A, Lüth TC. Navigated Control in Functional Endoscopic Sinus Surgery. International Journal of Medical Robotics and Computer Assisted Surgery. 2005;31–41.
  • Strauß G, Koulechov K, Stopp S, Strauß M, Pankau A, Hofer M, et al. Verbesserte Umsetzung der Resektionsgrenzen in der Nasennebenhöhlenchirurgie mit dem navigiert-kontrollierten Shaver. Laryngorhinootologie. 2005;
  • Strauß G, Trantakis C, Mehnert D, Winkler D, Roettger S, Zimmer C, et al. Chirurgisches Vertrauen in die Navigation bei dem transsphenoidalen Zugang zur Hypophyse: Prinzipienvergleich, Indikationen und Versuch einer Quantifizierung. Mitteilungen der Norddeutschen Gesellschaft für Otorhinolaryngologie und zervikofaziale Chirurgie. 2005;62–9.
  • Strauß G, Trantakis C, Nowatius E, Falk V, Maass H, Cakmak K, et al. Virtual training in head- and neurosurgery. Laryngorhinootologie. 2005;84(5):335–44.
  • Strauß G, Winkler D, Jacobs S, Trantakis C, Dietz A, Bootz F, et al. Mechatronic in functional endoscopic sinus surgery First experiences with the daVinci Telemanipulatory System. HNO. 2005;53(7):623–30.
  • Trantakis C, Meixensberger J, Strauß G, Korb W, Strauß E, Nowatius E, et al. Evaluation of the IOMaster 7D - a simulation system for virtual neuroendoscopy. Biomedizinische Technik. 2005;1(50).
  • Tietjen C, Dornheim J, Preim B, Hertel I, Strauss G. Computer Assisted Surgery Planning for Neck Dissections. In: Computer Aided Surgery around the Head – 3rd International Symposium. Düsseldorf: VDI Verlag; 2005. p. 32–3.
  • Pößneck A, Nowatius E, Trantakis C, Cakmak H, Maaß H, Kühnapfel U, et al. A Virtual Training System in Endoscopic Sinus Surgery. In: Proceedings of the 19th Congress and Exhibition CARS 2005, International Congress Series. 2005. p. 527–30.
  • Neumuth T, Pretschner A, Trantakis C, Fischer M, Lemke H, Burgert O. An Approach to XML-based Description of Intraoperative Surgical Workflows. In: Berliner XML-Tage (BXML). Berlin: HU Berlin; 2005. p. 147–52.
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