Dominik Rivoir

According to our database, Dominik Rivoir authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 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., June, 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

Synthesizing Multi-Class Surgical Datasets with Anatomy-Aware Diffusion Models.

Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Stefanie Speidel

CoRR, 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, 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

CoRR, 2024

SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models.

Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Stefanie Speidel

CoRR, 2024

2023

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition.

Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel

CoRR, 2023

Metrics Matter in Surgical Phase Recognition.

Isabel Funke, Dominik Rivoir, Stefanie Speidel

CoRR, 2023

2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Active learning using deep Bayesian networks for surgical workflow analysis.

Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., 2019

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

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

2018

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis.

Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

CoRR, 2018