2026 Nicolas Padoy: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	7265	7054	161	157	152	7380

Overview

Nicolas Padoy is affiliated with the University of Strasbourg in France. Their research primarily focuses on the intersection of medicine and computer science, with specific emphasis on surgical applications and medical imaging. Padoy's work spans a variety of main fields, most notably Medicine and Computer Science, and delves into subfields such as Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Oncology, and Radiology, Nuclear Medicine, and Imaging.

Their research covers several core topics including Surgical Simulation and Training, Anatomy and Medical Technology, Artificial Intelligence in Healthcare and Education, Colorectal Cancer Screening and Detection, Cardiac, Anesthesia and Surgical Outcomes, Radiomics and Machine Learning in Medical Imaging, and Medical Imaging and Analysis.

Recent notable publications by Nicolas Padoy include:

Artificial Intelligence for Surgical Safety, 2020, Annals of Surgery
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos, 2022, Medical Image Analysis
Computer vision in surgery: from potential to clinical value, 2022, npj Digital Medicine
Computer vision in surgery, 2020, Surgery
Federated benchmarking of medical artificial intelligence with MedPerf, 2023, Nature Machine Intelligence

Padoy frequently collaborates with a number of researchers including Pietro Mascagni, Didier Mutter, Deepak Alapatt, Vinkle Srivastav, and Armine Vardazaryan. Collaboration with these co-authors has contributed to a broad output of research papers and projects.

The scholar is often published in key venues within their area of expertise. Their frequent publication venues are:

arXiv (Cornell University)
Medical Image Analysis
International Journal of Computer Assisted Radiology and Surgery
Surgical Endoscopy
British Journal of Surgery

In addition to journal articles, Nicolas Padoy has contributed to several book publications mainly through Springer Science+Business Media. These contributions mainly consist of multiple editions of "Medical Image Computing and Computer Assisted Intervention - MICCAI 2021," which have collectively received numerous citations.

Best Publications

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Andru P. Twinanda;Sherif Shehata;Didier Mutter;Jacques Marescaux

1037
Citations
Surgical data science for next-generation interventions.

Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

474
Citations
Statistical modeling and recognition of surgical workflow.

Nicolas Padoy;Tobias Blum;Seyed-Ahmad Ahmadi;Hubertus Feussner

322
Citations
Surgical Data Science - from Concepts toward Clinical Translation

Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

309
Citations
Artificial Intelligence for Surgical Safety: Automatic Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy Using Deep Learning.

Pietro Mascagni;Armine Vardazaryan;Deepak Alapatt;Takeshi Urade

260
Citations
Surgical data science: Enabling next-generation surgery

Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

188
Citations
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos.

Chinedu Innocent Nwoye;Tong Yu;Cristians Gonzalez;Barbara Seeliger

172
Citations
Machine and deep learning for workflow recognition during surgery.

Nicolas Padoy

170
Citations
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos

Chinedu Innocent Nwoye;Didier Mutter;Jacques Marescaux;Nicolas Padoy

150
Citations
Computer vision in surgery.

Thomas M. Ward;Pietro Mascagni;Yutong Ban;Guy Rosman

149
Citations
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions

Tom Vercauteren;Mathias Unberath;Nicolas Padoy;Nassir Navab

141
Citations
Human-Machine Collaborative surgery using learned models

Nicolas Padoy;Gregory D. Hager

131
Citations
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

Andru Putra Twinanda;Gaurav Yengera;Didier Mutter;Jacques Marescaux

123
Citations
Federated benchmarking of medical artificial intelligence with MedPerf

Unknown

122
Citations
On-line recognition of surgical activity for monitoring in the operating room

N. Padoy;T. Blum;H. Feussner;M-O. Berger

120
Citations
Workflow mining for visualization and analysis of surgeries

Tobias Blum;Nicolas Padoy;Nicolas Padoy;Hubertus Feußner;Nassir Navab

116
Citations
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Chinedu Innocent Nwoye;Cristians Gonzalez;Tong Yu;Pietro Mascagni;Pietro Mascagni

92
Citations
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.

Sanat Ramesh;Sanat Ramesh;Diego Dall’Alba;Cristians Gonzalez;Tong Yu

92
Citations
Workflow monitoring based on 3D motion features

N. Padoy;D. Mateus;D. Weinland;M-O. Berger

90
Citations
SAGES consensus recommendations on an annotation framework for surgical video

Ozanan R Meireles;Guy Rosman;Guy Rosman;Maria S Altieri;Lawrence Carin

89
Citations
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks

Gaurav Yengera;Didier Mutter;Jacques Marescaux;Nicolas Padoy

78
Citations
Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models

Tobias Blum;Nicolas Padoy;Hubertus Feußner;Nassir Navab

74
Citations
A generalizable approach for multi-view 3D human pose regression

Abdolrahim Kadkhodamohammadi;Nicolas Padoy

70
Citations

Frequent Co-Authors

Nassir Navab Technical University of Munich

Gregory D. Hager Johns Hopkins University

Pierre Jannin University of Rennes

Lena Maier-Hein German Cancer Research Center

Ron Kikinis Brigham and Women's Hospital

Stefanie Speidel National Center for Tumor Diseases

Danail Stoyanov University College London

Russell H. Taylor Johns Hopkins University

Giancarlo Ferrigno Polytechnic University of Milan

Tom Vercauteren King's College London

External Links

Personal website of Nicolas Padoy

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree opens the door to various advanced education and career pathways. Many students and professionals seek flexible online degrees that complement their technical backgrounds while expanding leadership or specialized skills.

For those interested in business leadership, an online emba can strengthen managerial expertise and global business acumen. If you’re drawn to information management or digital archives, consider the cheapest mlis degree online to enhance your knowledge in library and information science.

Affordability and flexibility are top concerns for graduate education. Explore the cheapest online masters in a wide variety of fields, ensuring you can advance your career without financial strain. For professionals aiming at leadership in organizational contexts, a doctorate organizational leadership provides the training needed to influence change and manage teams at the highest levels.

Each of these pathways can support and enhance a career launched by studying Computer Science in the USA, offering room for specialization, advancement, and career diversity.