フォロー
Nicolas Padoy
Nicolas Padoy
Professor of Computer Science, University of Strasbourg
確認したメール アドレス: unistra.fr - ホームページ
タイトル
引用先
引用先
Endonet: A deep architecture for recognition tasks on laparoscopic videos
AP Twinanda, S Shehata, D Mutter, J Marescaux, M de Mathelin, N Padoy
IEEE Transactions on Medical Imaging 36 (1), 86-97, 2017
5112017
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
2622012
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, 2017
2332017
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
1122008
Human-machine collaborative surgery using learned models
N Padoy, GD Hager
Robotics and Automation (ICRA), 2011 IEEE International Conference on, 5285-5292, 2011
1112011
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
1062008
Workflow monitoring based on 3d motion features
N Padoy, D Mateus, D Weinland, MO Berger, N Navab
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International …, 2009
862009
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
822018
Machine and deep learning for workflow recognition during surgery
N Padoy
Minimally Invasive Therapy & Allied Technologies 28 (2), 82-90, 2019
752019
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
732008
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
692019
A boosted segmentation method for surgical workflow analysis
N Padoy, T Blum, I Essa, H Feussner, MO Berger, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2007
672007
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
642020
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
T Vercauteren, M Unberath, N Padoy, N Navab
Proceedings of IEEE, 2019
632019
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
602018
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
542021
HUMAN-MACHINE COLLABORATIVE ROBOTIC SYSTEMS
G Hager, N Padoy
US Patent 20,130,218,340, 2013
472013
A generalizable approach for multi-view 3d human pose regression
A Kadkhodamohammadi, N Padoy
Machine Vision and Applications 32 (1), 1-14, 2020
452020
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
A Vardazaryan, D Mutter, J Marescaux, N Padoy
MICCAI LABELS, 2018
442018
Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and …
NL Rodas, N Padoy
International journal of computer assisted radiology and surgery 10 (8 …, 2015
442015
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