Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. - Dominik Rivoir; Sebastian Bodenstedt; Felix von Bechtolsheim; Marius Distler; Jürgen Weitz; Stefanie Speidel (OR/MLCN@MICCAI, 2019)

Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance. - Dominik Rivoir; Sebastian Bodenstedt; Isabel Funke; Felix von Bechtolsheim; Marius Distler; Jürgen Weitz; Stefanie Speidel (MICCAI (3), 2020)

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)

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)

Exploring semantic consistency in unpaired image translation to generate data for surgical applications. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; 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)

Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models. - Danush Kumar Venkatesh; Isabel Funke; Micha Pfeiffer; Fiona R. Kolbinger; Hanna Maria Schmeiser; Jürgen Weitz; Marius Distler; Stefanie Speidel (CoRR, 2025)