Zobrazeno 1 - 10
of 2 300
pro vyhledávání: '"A. Lavanchy"'
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:
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:
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
Publikováno v:
Political Research Exchange, Vol 6, Iss 1 (2024)
The higher-educated are typically seen as winners of technological change and automation, but recent evidence shows that many higher-educated workers are, in fact, concerned about losing their jobs to technology. The reasons why higher-educated worke
Externí odkaz:
https://doaj.org/article/ac8659d93bec4531bdd938acee188660
Publikováno v:
Annals of Tourism Research Empirical Insights, Vol 5, Iss 2, Pp 100147- (2024)
The large water demands of tourism threaten the sector's economic viability during climate shocks. Cape Town, South Africa provides an example where the threat of a water “Day Zero” in 2018 caused substantial losses in tourist arrivals, revenues,
Externí odkaz:
https://doaj.org/article/7ac5b0cbd2704ab0bab4725ecb60dc47
Autor:
Madelyn Thomson, Marialuisa Cavelti, Stefan Lerch, Julian Koenig, Corinna Reichl, Ines Mürner-Lavanchy, Andrea Wyssen, Michael Kaess
Publikováno v:
Borderline Personality Disorder and Emotion Dysregulation, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Background Despite the introduction of dimensional conceptualisations of personality functioning in the latest classification systems, such as Criterion A of the Alternative Model of Personality Disorders in the DSM-5, heterogeneous clinical
Externí odkaz:
https://doaj.org/article/7d11611ecf0d4bc194044f75a7d99763
Autor:
Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng
Publikováno v:
Annals of Surgery Open, Vol 5, Iss 3, p e459 (2024)
Introduction:. This study aimed to identify research areas that demand attention in multimodal data-driven surgery for improving data management in minimally invasive surgery. Background:. New surgical procedures, high-tech equipment, and digital too
Externí odkaz:
https://doaj.org/article/e1e22d6b79574bfbbd2e46a702b83445