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 | 861 | 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 | 387 | 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 | 299 | 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 | 195 | 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 | 182 | 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 | 135 | 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 | 135 | 2008 |
Machine and deep learning for workflow recognition during surgery N Padoy Minimally Invasive Therapy & Allied Technologies 28 (2), 82-90, 2019 | 134 | 2019 |
Human-machine collaborative surgery using learned models N Padoy, GD Hager Robotics and Automation (ICRA), 2011 IEEE International Conference on, 5285-5292, 2011 | 129 | 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 | 116 | 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 | 115 | 2019 |
Computer vision in surgery TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy, O Meireles, ... Surgery, 2020 | 112 | 2020 |
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions T Vercauteren, M Unberath, N Padoy, N Navab Proceedings of IEEE, 2019 | 109 | 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 | 94 | 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 | 91 | 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 | 83 | 2018 |
A generalizable approach for multi-view 3d human pose regression A Kadkhodamohammadi, N Padoy Machine Vision and Applications 32 (1), 1-14, 2020 | 81 | 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 | 81 | 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 | 77 | 2020 |
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos A Vardazaryan, D Mutter, J Marescaux, N Padoy MICCAI LABELS, 2018 | 75 | 2018 |