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)

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)

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)

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)

Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. - Dominik Rivoir; Micha Pfeiffer; Reuben Docea; Fiona R. Kolbinger; Carina Riediger; Jürgen Weitz; Stefanie Speidel (ICCV, 2021)

Metrics Matter in Surgical Phase Recognition. - Isabel Funke; Dominik Rivoir; Stefanie Speidel (CoRR, 2023)

SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Stefanie Speidel (ECCV Workshops (20), 2024)

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (CoRR, 2024)

Synthesizing Multi-Class Surgical Datasets with Anatomy-Aware Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona R. Kolbinger; Stefanie Speidel (CoRR, 2024)

On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis. - Dominik Rivoir; Isabel Funke; Stefanie Speidel (Medical Image Anal., 2024)

AIxSuture: vision-based assessment of open suturing skills. - Hanna Hoffmann; Isabel Funke; Philipp Peters; Danush Kumar Venkatesh; Jan Egger; Dominik Rivoir; Rainer Röhrig; Frank Hölzle; Sebastian Bodenstedt; Marie-Christin Willemer; Stefanie Speidel; Behrus Puladi (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)

Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona R. Kolbinger; Stefanie Speidel (WACV, 2025)

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (Medical Image Anal., 2025)

Adapting Procedural Video Understanding and Controllable Video Synthesis for Surgical Applications. - Dominik Rivoir (2025)

TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition. - Isabel Funke; Dominik Rivoir; Stefanie Krell; Stefanie Speidel (IEEE Trans. Biomed. Eng., 2025)