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Alexander C Jenke

Showing results (1-10 of 11) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|April 27, 2024
One model to use them all: training a segmentation model with complementary datasetsAlexander C Jenke, Sebastian Bodenstedt, Fiona R Kolbinger, et al.
International Journal of Computer Assisted Radiology and Surgery|June 15, 2026
Stream-based active learning for surgical AIGregor Just, Alexander C Jenke, Antonia Kraneis, et al.
Scientific Data|January 12, 2023
The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data ScienceMatthias Carstens, Franziska M Rinner, Sebastian Bodenstedt, et al.
IEEE Transactions on Bio-Medical Engineering|July 15, 2024
SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNsReuben Docea, Jinjing Xu, Wei Ling, et al.
International Journal of Surgery (London, England)|August 1, 2023
Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise - an experimental studyFiona R Kolbinger, Franziska M Rinner, Alexander C Jenke, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Surgical Endoscopy|October 13, 2023
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation studyJohanna M Brandenburg, Alexander C Jenke, Antonia Stern, et al.
Surgical Endoscopy|September 28, 2022
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal dataMartin Wagner, Johanna M Brandenburg, Sebastian Bodenstedt, et al.
Scientific Data|June 12, 2026
Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutionsFiona R Kolbinger, Max Kirchner, Kevin Pfeiffer, et al.
Medrxiv : the Preprint Server for Health Sciences|September 15, 2025
Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasksFiona R Kolbinger, Max Kirchner, Kevin Pfeiffer, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
International Journal of Computer Assisted Radiology and Surgery|April 27, 2024
One model to use them all: training a segmentation model with complementary datasetsAlexander C Jenke, Sebastian Bodenstedt, Fiona R Kolbinger, et al.
International Journal of Computer Assisted Radiology and Surgery|June 15, 2026
Stream-based active learning for surgical AIGregor Just, Alexander C Jenke, Antonia Kraneis, et al.
Scientific Data|January 12, 2023
The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data ScienceMatthias Carstens, Franziska M Rinner, Sebastian Bodenstedt, et al.
IEEE Transactions on Bio-Medical Engineering|July 15, 2024
SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNsReuben Docea, Jinjing Xu, Wei Ling, et al.
International Journal of Surgery (London, England)|August 1, 2023
Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise - an experimental studyFiona R Kolbinger, Franziska M Rinner, Alexander C Jenke, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Surgical Endoscopy|October 13, 2023
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation studyJohanna M Brandenburg, Alexander C Jenke, Antonia Stern, et al.
Surgical Endoscopy|September 28, 2022
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal dataMartin Wagner, Johanna M Brandenburg, Sebastian Bodenstedt, et al.
Scientific Data|June 12, 2026
Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutionsFiona R Kolbinger, Max Kirchner, Kevin Pfeiffer, et al.
Medrxiv : the Preprint Server for Health Sciences|September 15, 2025
Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasksFiona R Kolbinger, Max Kirchner, Kevin Pfeiffer, et al.
Pageof 2