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ORCIDJoël L. Lavanchy
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2020 – today
- 2025
[j6]Keqi Chen
, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A first step toward automatically identifying team communication in the operating room. Int. J. Comput. Assist. Radiol. Surg. 20(7): 1371-1379 (2025)- [j5]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning multi-modal representations by watching hundreds of surgical video lectures. Medical Image Anal. 105: 103644 (2025) - [j4]Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary, Lorenzo Arboit, Giorgio Carlino, Joël L. Lavanchy, Pietro Mascagni, Nicolas Padoy:
Surgical text-to-image generation. Pattern Recognit. Lett. 190: 73-80 (2025) - [c3]Chinedu Innocent Nwoye, Kareem Elgohary, Anvita Srinivas, Fauzan Zaid, Joël L. Lavanchy, Nicolas Padoy:
CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools. CVPR 2025: 8942-8952 - [c2]Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy:
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. MICCAI (11) 2025: 178-188 - [c1]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:
Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. MICCAI (9) 2025: 467-477 - [i10]Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room. CoRR abs/2502.08299 (2025) - [i9]Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy:
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. CoRR abs/2504.16749 (2025) - [i8]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:
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. CoRR abs/2506.20254 (2025) - [i7]Simon Pezold, Jérôme A. Kurylec, Jan S. Liechti, Beat Müller, Joël L. Lavanchy:
Leveraging Generic Foundation Models for Multimodal Surgical Data Analysis. CoRR abs/2509.06831 (2025) - 2024
- [j3]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing surgical VQA with scene graph knowledge. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1409-1417 (2024) - [j2]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:
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2249-2257 (2024) - [i6]Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary, Lorenzo Arboit, Giorgio Carlino, Joël L. Lavanchy, Pietro Mascagni, Nicolas Padoy:
Surgical Text-to-Image Generation. CoRR abs/2407.09230 (2024) - 2023
- [i5]Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, AI4SafeChole Consortium, Didier Mutter, Nicolas Padoy:
Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. CoRR abs/2301.07053 (2023) - [i4]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR abs/2307.15220 (2023) - [i3]Chinedu Innocent Nwoye, Kareem Elgohary, Anvita Srinivas, Fauzan Zaid, Joël L. Lavanchy, Nicolas Padoy:
CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery. CoRR abs/2312.07352 (2023) - [i2]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing Surgical VQA with Scene Graph Knowledge. CoRR abs/2312.10251 (2023) - [i1]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:
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery. CoRR abs/2312.11250 (2023) - 2022
- [j1]Florian Aspart, Jon Lindström Bolmgren, Joël L. Lavanchy, Guido Beldi, Michael S. Woods, Nicolas Padoy, Enes Hosgor:
ClipAssistNet: bringing real-time safety feedback to operating rooms. Int. J. Comput. Assist. Radiol. Surg. 17(1): 5-13 (2022)
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