Joël L. Lavanchy

According to our database, Joël L. Lavanchy authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

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., July, 2025

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement.

Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy

CoRR, June, 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, April, 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, February, 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

Learning multi-modal representations by watching hundreds of surgical video lectures.

Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, Nicolas Padoy

Medical Image Anal., 2025

CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools.

Chinedu Innocent Nwoye, Kareem Elgohary, Anvita Srinivas, Fauzan Zaid, Joël L. Lavanchy, Nicolas Padoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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., November, 2024

Advancing surgical VQA with scene graph knowledge.

Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., July, 2024

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

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures.

Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy

CoRR, 2023

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

2022

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