| Active learning using deep Bayesian networks for surgical workflow analysis S Bodenstedt, D Rivoir, A Jenke, M Wagner, M Breucha, B Müller-Stich, ... International journal of computer assisted radiology and surgery 14, 1079-1087, 2019 | 63 | 2019 |
| Temporal coherence-based self-supervised learning for laparoscopic workflow analysis I Funke, A Jenke, ST Mees, J Weitz, S Speidel, S Bodenstedt International Workshop on Computer-Assisted and Robotic Endoscopy, 85-93, 2018 | 53 | 2018 |
| Cholectriplet2021: A benchmark challenge for surgical action triplet recognition CI Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, F Jia, ... Medical Image Analysis 86, 102803, 2023 | 45 | 2023 |
| The dresden surgical anatomy dataset for abdominal organ segmentation in surgical data science M Carstens, FM Rinner, S Bodenstedt, AC Jenke, J Weitz, M Distler, ... Scientific Data 10 (1), 1-8, 2023 | 39 | 2023 |
| Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data M Wagner, JM Brandenburg, S Bodenstedt, A Schulze, AC Jenke, A Stern, ... Surgical endoscopy 36 (11), 8568-8591, 2022 | 20 | 2022 |
| Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study FR Kolbinger, FM Rinner, AC Jenke, M Carstens, S Krell, S Leger, ... International Journal of Surgery 109 (10), 2962-2974, 2023 | 18* | 2023 |
| Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study JM Brandenburg, AC Jenke, A Stern, MTJ Daum, A Schulze, R Younis, ... Surgical Endoscopy 37 (11), 8577-8593, 2023 | 6 | 2023 |
| The Dresden surgical anatomy dataset for abdominal organ segmentation in surgical data science. Sci Data 10 (1): 1–8 M Carstens, FM Rinner, S Bodenstedt, AC Jenke, J Weitz, M Distler, ... | 5 | 2023 |
| Stay Focused-Enhancing Model Interpretability Through Guided Feature Training AC Jenke, S Bodenstedt, M Wagner, JM Brandenburg, A Stern, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| SeeSaw: Learning Soft Tissue Deformation from Laparoscopy Videos with GNNs R Docea, J Xu, W Ling, AC Jenke, FR Kolbinger, M Distler, C Riediger, ... IEEE Transactions on Biomedical Engineering, 2024 | | 2024 |
| One model to use them all: training a segmentation model with complementary datasets AC Jenke, S Bodenstedt, FR Kolbinger, M Distler, J Weitz, S Speidel International Journal of Computer Assisted Radiology and Surgery, 1-9, 2024 | | 2024 |
| Demonstrator:„Organerkennung in der Laparoskopie–Schlag die KI!“ RF Kolbinger, S Bodenstedt, FM Rinner, M Carstens, AC Jenke, M Distler, ... Zeitschrift für Gastroenterologie 60 (08), M02, 2022 | | 2022 |
Stefanie SpeidelProfessor, National Center for Tumor Diseases (NCT) DresdenVerificeret mail på nct-dresden.de
