Dominik Rivoir

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Temporal Video Segmentation

Temporally Consistent

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Image Anal.

Publications

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
AIxSuture: vision-based assessment of open suturing skills. Int. J. Comput. Assist. Radiol. Surg. 19 (6) (2024)
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
Exploring semantic consistency in unpaired image translation to generate data for surgical applications. Int. J. Comput. Assist. Radiol. Surg. 19 (6) (2024)
Dominik Rivoir, Isabel Funke, Stefanie Speidel
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis. Medical Image Anal. 94 (2024)
Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition. CoRR (2023)
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications. CoRR (2023)
Isabel Funke, Dominik Rivoir, Stefanie Speidel
Metrics Matter in Surgical Phase Recognition. CoRR (2023)
Dominik Rivoir, Isabel Funke, Stefanie Speidel
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis. CoRR (2022)
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. ICCV (2021)
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. CoRR (2021)
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance. CoRR (2020)
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance. MICCAI (3) (2020)
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. CoRR (2020)
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. OR/MLCN@MICCAI (2019)
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Active learning using deep Bayesian networks for surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis. CoRR (2018)