Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis. - Isabel Funke; Alexander Jenke; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel; Sebastian Bodenstedt (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis. - Sebastian Bodenstedt; Dominik Rivoir; Alexander Jenke; Martin Wagner 001; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (CoRR, 2018)

Active learning using deep Bayesian networks for surgical workflow analysis. - Sebastian Bodenstedt; Dominik Rivoir; Alexander Jenke; Martin Wagner 001; Michael Breucha; Beat P. Müller-Stich; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2019)

Stay Focused - Enhancing Model Interpretability Through Guided Feature Training. - Alexander Jenke; Sebastian Bodenstedt; Martin Wagner 001; Johanna M. Brandenburg; Antonia Stern; Lars Mündermann; Marius Distler; Jürgen Weitz; Beat P. Müller-Stich; Stefanie Speidel (MICCAI (3), 2022)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

One model to use them all: training a segmentation model with complementary datasets. - Alexander C. Jenke; Sebastian Bodenstedt; Fiona R. Kolbinger; Marius Distler; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2024)

SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNs. - Reuben Docea; Jinjing Xu; Wei Ling; Alexander C. Jenke; Fiona R. Kolbinger; Marius Distler; Carina Riediger; Jürgen Weitz; Stefanie Speidel; Micha Pfeiffer (IEEE Trans. Biomed. Eng., 2024)

Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data. - Jose Cribeiro-Ramallo; Federico Matteucci; Paul Enciu; Alexander Jenke; Vadim Arzamasov; Thorsten Strufe; Klemens Böhm (Trans. Mach. Learn. Res., 2025)

Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections. - Max Kirchner; Alexander C. Jenke; Sebastian Bodenstedt; Fiona R. Kolbinger; Oliver Lester Saldanha; Jakob Nikolas Kather; Martin Wagner 001; Stefanie Speidel (CoRR, 2025)