N
Nicolas Padoy
Researcher at University of Strasbourg
Publications - 152
Citations - 4173
Nicolas Padoy is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 26, co-authored 112 publications receiving 2626 citations. Previous affiliations of Nicolas Padoy include French Institute for Research in Computer Science and Automation & École normale supérieure de Lyon.
Papers
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Journal ArticleDOI
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru Putra Twinanda,Sherif Shehata,Didier Mutter,Jacques Marescaux,Michel de Mathelin,Nicolas Padoy +5 more
TL;DR: In this article, the authors proposed a novel method for phase recognition that uses a convolutional neural network (CNN) to automatically learn features from cholecystectomy videos and that relies uniquely on visual information.
Journal ArticleDOI
Surgical data science for next-generation interventions.
Lena Maier-Hein,Swaroop Vedula,Stefanie Speidel,Nassir Navab,Nassir Navab,Ron Kikinis,Ron Kikinis,Adrian Park,Matthias Eisenmann,Hubertus Feussner,Germain Forestier,Stamatia Giannarou,Makoto Hashizume,Darko Katic,Hannes Kenngott,Michael Kranzfelder,Anand Malpani,Keno März,Thomas Neumuth,Nicolas Padoy,Carla M. Pugh,Nicolai Schoch,Danail Stoyanov,Russell H. Taylor,Martin Wagner,Gregory D. Hager,Pierre Jannin,Pierre Jannin +27 more
TL;DR: Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.
Journal ArticleDOI
Statistical modeling and recognition of surgical workflow.
Nicolas Padoy,Tobias Blum,Seyed-Ahmad Ahmadi,Hubertus Feussner,Marie-Odile Berger,Nassir Navab +5 more
TL;DR: A new representation of interventions in terms of multidimensional time-series formed by synchronized signals acquired over time is proposed, which results in workflow models combining low-level signals with high-level information such as predefined phases, which can be used to detect actions and trigger an event.
Posted Content
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru Putra Twinanda,Sherif Shehata,Didier Mutter,Jacques Marescaux,Michel de Mathelin,Nicolas Padoy +5 more
TL;DR: This paper proposes a novel method for phase recognition that uses a convolutional neural network (CNN) to automatically learn features from cholecystectomy videos and that relies uniquely on visual information.
Journal ArticleDOI
Surgical data science: Enabling next-generation surgery
Lena Maier-Hein,S. Swaroop Vedula,Stefanie Speidel,Nassir Navab,Nassir Navab,Ron Kikinis,Ron Kikinis,Adrian Park,Matthias Eisenmann,Hubertus Feussner,Germain Forestier,Stamatia Giannarou,Makoto Hashizume,Darko Katic,Hannes Kenngott,Michael Kranzfelder,Anand Malpani,Keno März,Thomas Neumuth,Nicolas Padoy,Carla M. Pugh,Nicolai Schoch,Danail Stoyanov,Russell H. Taylor,Martin Wagner,Gregory D. Hager,Pierre Jannin,Pierre Jannin +27 more
TL;DR: In this article, the authors provide a consensus definition for Surgical Data Science, identify associated challenges and opportunities, and provide a roadmap for advancing the field, based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in the related field of computer assisted interventions.