ClipAssistNet: bringing real-time safety feedback to operating rooms. - Florian Aspart; Jon Lindström Bolmgren; Joël L. Lavanchy; Guido Beldi; Michael S. Woods; Nicolas Padoy; Enes Hosgor (Int. J. Comput. Assist. Radiol. Surg., 2022)

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. - Joël L. Lavanchy; Armine Vardazaryan; Pietro Mascagni; AI4SafeChole Consortium; Didier Mutter; Nicolas Padoy (CoRR, 2023)

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. - Kun Yuan 004; Vinkle Srivastav; Tong Yu 009; Joël L. Lavanchy; Pietro Mascagni; Nassir Navab; Nicolas Padoy (CoRR, 2023)

CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery. - Chinedu Innocent Nwoye; Kareem Elgohary; Anvita Srinivas; Fauzan Zaid; Joël L. Lavanchy; Nicolas Padoy (CoRR, 2023)

Advancing surgical VQA with scene graph knowledge. - Kun Yuan 004; Manasi Kattel; Joël L. Lavanchy; Nassir Navab; Vinkle Srivastav; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2024)

Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. - Joël L. Lavanchy; Sanat Ramesh; Diego Dall'Alba; Cristians Gonzalez; Paolo Fiorini; Beat P. Müller-Stich; Philipp C. Nett; Jacques Marescaux; Didier Mutter; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2024)

CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools. - Chinedu Innocent Nwoye; Kareem Elgohary; Anvita Srinivas; Fauzan Zaid; Joël L. Lavanchy; Nicolas Padoy (CVPR, 2025)

Learning multi-modal representations by watching hundreds of surgical video lectures. - Kun Yuan 004; Vinkle Srivastav; Tong Yu 009; Joël L. Lavanchy; Jacques Marescaux; Pietro Mascagni; Nassir Navab; Nicolas Padoy (Medical Image Anal., 2025)

Surgical text-to-image generation. - Chinedu Innocent Nwoye; Rupak Bose; Kareem Elgohary; Lorenzo Arboit; Giorgio Carlino; Joël L. Lavanchy; Pietro Mascagni; Nicolas Padoy (Pattern Recognit. Lett., 2025)

When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room. - Keqi Chen; Lilien Schewski; Vinkle Srivastav; Joël L. Lavanchy; Didier Mutter; Guido Beldi; Sandra Keller; Nicolas Padoy (CoRR, 2025)

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. - Rupak Bose; Chinedu Innocent Nwoye; Jorge Lazo; Joël L. Lavanchy; Nicolas Padoy (CoRR, 2025)

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. - Kun Yuan 004; Tingxuan Chen; Shi Li; Joël L. Lavanchy; Christian Heiliger; Ege Özsoy; Yiming Huang; Long Bai 008; Nassir Navab; Vinkle Srivastav; Hongliang Ren 001; Nicolas Padoy (CoRR, 2025)

When do they StOP?: A first step toward automatically identifying team communication in the operating room. - Keqi Chen; Lilien Schewski; Vinkle Srivastav; Joël L. Lavanchy; Didier Mutter; Guido Beldi; Sandra Keller; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2025)