Zobrazeno 1 - 10
of 12 869
pro vyhledávání: '"A. Lavanchy"'
Autor:
Stern, Daniel1 (AUTHOR) daniel.stern@tele2.ch
Publikováno v:
Psychoanalytic Dialogues. Mar/Apr2010, Vol. 20 Issue 2, p121-124. 4p.
Autor:
Nwoye, Chinedu Innocent, Bose, Rupak, Elgohary, Kareem, Arboit, Lorenzo, Carlino, Giorgio, Lavanchy, Joël L., Mascagni, Pietro, Padoy, Nicolas
Acquiring surgical data for research and development is significantly hindered by high annotation costs and practical and ethical constraints. Utilizing synthetically generated images could offer a valuable alternative. In this work, we explore adapt
Externí odkaz:
http://arxiv.org/abs/2407.09230
Autor:
Reis, Bruce1 (AUTHOR) bruce.reis@nyu.edu
Publikováno v:
Psychoanalytic Dialogues. Mar/Apr2010, Vol. 20 Issue 2, p151-157. 7p.
Autor:
Lavanchy, Joel L., Ramesh, Sanat, Dall'Alba, Diego, Gonzalez, Cristians, Fiorini, Paolo, Muller-Stich, Beat, Nett, Philipp C., Marescaux, Jacques, Mutter, Didier, Padoy, Nicolas
Most studies on surgical activity recognition utilizing Artificial intelligence (AI) have focused mainly on recognizing one type of activity from small and mono-centric surgical video datasets. It remains speculative whether those models would genera
Externí odkaz:
http://arxiv.org/abs/2312.11250
Autor:
Yuan, Kun, Kattel, Manasi, Lavanchy, Joel L., Navab, Nassir, Srivastav, Vinkle, Padoy, Nicolas
Modern operating room is becoming increasingly complex, requiring innovative intra-operative support systems. While the focus of surgical data science has largely been on video analysis, integrating surgical computer vision with language capabilities
Externí odkaz:
http://arxiv.org/abs/2312.10251
Autor:
Nwoye, Chinedu Innocent, Elgohary, Kareem, Srinivas, Anvita, Zaid, Fauzan, Lavanchy, Joël L., Padoy, Nicolas
Tool tracking in surgical videos is vital in computer-assisted intervention for tasks like surgeon skill assessment, safety zone estimation, and human-machine collaboration during minimally invasive procedures. The lack of large-scale datasets hamper
Externí odkaz:
http://arxiv.org/abs/2312.07352
Autor:
Nahum, JeremyP.1 (AUTHOR) jpnahum@massmed.org
Publikováno v:
Psychoanalytic Dialogues. Mar/Apr2010, Vol. 20 Issue 2, p141-150. 10p.
Autor:
Yuan, Kun, Srivastav, Vinkle, Yu, Tong, Lavanchy, Joel L., Mascagni, Pietro, Navab, Nassir, Padoy, Nicolas
Recent advancements in surgical computer vision have been driven by vision-only models, which lack language semantics, relying on manually annotated videos to predict fixed object categories. This limits their generalizability to unseen surgical proc
Externí odkaz:
http://arxiv.org/abs/2307.15220
Autor:
Lavanchy, Joël L., Vardazaryan, Armine, Mascagni, Pietro, Consortium, AI4SafeChole, Mutter, Didier, Padoy, Nicolas
Publikováno v:
Scientific Reports 13, 9235 (2023)
Objective: To develop and validate a deep learning model for the identification of out-of-body images in endoscopic videos. Background: Surgical video analysis facilitates education and research. However, video recordings of endoscopic surgeries can
Externí odkaz:
http://arxiv.org/abs/2301.07053
Autor:
Barnabé, Fanny
Cette publication d’Éric Lavanchy se propose, comme l’annonce son titre, d’envisager la bande dessinée à travers le prisme de la narratologie. Pour servir cet objectif, l’auteur adopte une organisation stricte de l’ouvrage en deux partie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::6c168deae2ca722f0edb13e509f15480
http://journals.openedition.org/contextes/5666
http://journals.openedition.org/contextes/5666