Dominik Rivoir

23 papers A* 1A 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — —
Adapting Procedural Video Understanding and Controllable Video Synthesis for Surgical Applications.
Dominik Rivoir
2025 A conf
Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models.
WACV
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Stefanie Speidel
2025 J jnl
PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery.
Medical Image Anal.
Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano
2025 J jnl
TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition.
IEEE Trans. Biomed. Eng.
Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel
2024 J jnl
AIxSuture: vision-based assessment of open suturing skills.
Int. J. Comput. Assist. Radiol. Surg.
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
2024 J jnl
Exploring semantic consistency in unpaired image translation to generate data for surgical applications.
Int. J. Comput. Assist. Radiol. Surg.
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
2024 J jnl
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis.
Medical Image Anal.
Dominik Rivoir, Isabel Funke, Stefanie Speidel
2024 J jnl
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.
CoRR
Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano
2024 — conf
SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models.
ECCV Workshops (20)
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Stefanie Speidel
2024 J jnl
SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models.
CoRR
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Stefanie Speidel
2024 J jnl
Synthesizing Multi-Class Surgical Datasets with Anatomy-Aware Diffusion Models.
CoRR
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Stefanie Speidel
2023 J jnl
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications.
CoRR
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
2023 J jnl
Metrics Matter in Surgical Phase Recognition.
CoRR
Isabel Funke, Dominik Rivoir, Stefanie Speidel
2023 J jnl
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition.
CoRR
Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel
2022 J jnl
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis.
CoRR
Dominik Rivoir, Isabel Funke, Stefanie Speidel
2021 A* conf
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data.
ICCV
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
2021 J jnl
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data.
CoRR
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
2020 — conf
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance.
MICCAI (3)
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
2020 J jnl
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance.
CoRR
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
2020 J jnl
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration.
CoRR
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
2019 J jnl
Active learning using deep Bayesian networks for surgical workflow analysis.
Int. J. Comput. Assist. Radiol. Surg.
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
2019 — conf
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration.
OR/MLCN@MICCAI
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
2018 J jnl
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis.
CoRR
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel