Nicolas Padoy
Nicolas Padoy
Professor of Computer Science, University of Strasbourg
Verified email at - Homepage
Cited by
Cited by
Endonet: a deep architecture for recognition tasks on laparoscopic videos
AP Twinanda, S Shehata, D Mutter, J Marescaux, M De Mathelin, ...
IEEE transactions on medical imaging 36 (1), 86-97, 2016
Surgical data science for next-generation interventions
L Maier-Hein, SS Vedula, S Speidel, N Navab, R Kikinis, A Park, ...
Nature Biomedical Engineering 1 (9), 691-696, 2017
Statistical modeling and recognition of surgical workflow
N Padoy, T Blum, SA Ahmadi, H Feussner, MO Berger, N Navab
Medical Image Analysis 16 (3), 632-641, 2012
Surgical Data Science--from Concepts toward Clinical Translation
L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ...
Medical Image Analysis, 2021
Artificial Intelligence for Surgical Safety: Automatic Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy Using Deep Learning
P Mascagni, A Vardazaryan, D Alapatt, T Urade, T Emre, C Fiorillo, ...
Annals of Surgery, 2020
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
CI Nwoye, D Mutter, J Marescaux, N Padoy
International Conference on Information Processing in Computer-Assisted …, 2018
On-line Recognition of Surgical Activity for Monitoring in the Operating Room.
N Padoy, T Blum, H Feussner, MO Berger, N Navab
AAAI, 1718-1724, 2008
Machine and deep learning for workflow recognition during surgery
N Padoy
Minimally Invasive Therapy & Allied Technologies 28 (2), 82-90, 2019
Human-machine collaborative surgery using learned models
N Padoy, GD Hager
Robotics and Automation (ICRA), 2011 IEEE International Conference on, 5285-5292, 2011
Workflow mining for visualization and analysis of surgeries
T Blum, N Padoy, H Feußner, N Navab
International journal of computer assisted radiology and surgery 3 (5), 379-386, 2008
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
AP Twinanda, G Yengera, D Mutter, J Marescaux, N Padoy
IEEE Transactions on Medical Imaging, 2019
Computer vision in surgery
TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy, O Meireles, ...
Surgery, 2020
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
T Vercauteren, M Unberath, N Padoy, N Navab
Proceedings of IEEE, 2019
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
CI Nwoye, T Yu, C Gonzalez, B Seeliger, P Mascagni, D Mutter, ...
Medical Image Analysis 78, 102433, 2022
Workflow monitoring based on 3d motion features
N Padoy, D Mateus, D Weinland, MO Berger, N Navab
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
G Yengera, D Mutter, J Marescaux, N Padoy
arXiv preprint arXiv:1805.08569, 2018
A generalizable approach for multi-view 3d human pose regression
A Kadkhodamohammadi, N Padoy
Machine Vision and Applications 32 (1), 1-14, 2020
Modeling and online recognition of surgical phases using hidden markov models
T Blum, N Padoy, H Feußner, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2008
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
CI Nwoye, C Gonzalez, T Yu, P Mascagni, D Mutter, J Marescaux, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
A Vardazaryan, D Mutter, J Marescaux, N Padoy
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