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ORCIDJoël L. Lavanchy
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Journal Articles
- 2024
[j2]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)- 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)
Informal and Other Publications
- 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)
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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