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Dominik Rivoir

Showing results (1-10 of 8) with videos related to

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Medical Image Analysis|March 7, 2024
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysisDominik Rivoir, Isabel Funke, Stefanie Speidel
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase RecognitionIsabel Funke, Dominik Rivoir, Stefanie Krell, et al.
International Journal of Computer Assisted Radiology and Surgery|February 26, 2024
Exploring semantic consistency in unpaired image translation to generate data for surgical applicationsDanush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2019
Active learning using deep Bayesian networks for surgical workflow analysisSebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, et al.
International Journal of Computer Assisted Radiology and Surgery|March 25, 2024
AIxSuture: vision-based assessment of open suturing skillsHanna Hoffmann, Isabel Funke, Philipp Peters, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Medical Image Analysis|August 6, 2025
PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgeryAdrito Das, Danyal Z Khan, Dimitrios Psychogyios, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|March 7, 2024
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysisDominik Rivoir, Isabel Funke, Stefanie Speidel
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase RecognitionIsabel Funke, Dominik Rivoir, Stefanie Krell, et al.
International Journal of Computer Assisted Radiology and Surgery|February 26, 2024
Exploring semantic consistency in unpaired image translation to generate data for surgical applicationsDanush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2019
Active learning using deep Bayesian networks for surgical workflow analysisSebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, et al.
International Journal of Computer Assisted Radiology and Surgery|March 25, 2024
AIxSuture: vision-based assessment of open suturing skillsHanna Hoffmann, Isabel Funke, Philipp Peters, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Medical Image Analysis|August 6, 2025
PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgeryAdrito Das, Danyal Z Khan, Dimitrios Psychogyios, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
Pageof 1