| 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 | 649 | 2016 |
| 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 38 (4), 1069-1078, 2018 | 86 | 2018 |
| Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms AP Twinanda, EO Alkan, A Gangi, M De Mathelin, N Padoy International journal of computer assisted radiology and surgery 10, 737-747, 2015 | 44 | 2015 |
| Vision-based approaches for surgical activity recognition using laparoscopic and RBGD videos AP Twinanda Strasbourg, 2017 | 36 | 2017 |
| Deep neural networks predict remaining surgery duration from cholecystectomy videos I Aksamentov, AP Twinanda, D Mutter, J Marescaux, N Padoy Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 33 | 2017 |
| Single-and multi-task architectures for tool presence detection challenge at M2CAI 2016 AP Twinanda, D Mutter, J Marescaux, M de Mathelin, N Padoy arXiv preprint arXiv:1610.08851, 2016 | 24 | 2016 |
| Single-and multi-task architectures for surgical workflow challenge at M2CAI 2016 AP Twinanda, D Mutter, J Marescaux, M de Mathelin, N Padoy arXiv preprint arXiv:1610.08844, 2016 | 23 | 2016 |
| Fisher kernel based task boundary retrieval in laparoscopic database with single video query AP Twinanda, M De Mathelin, N Padoy Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 17 | 2014 |
| Deep learning for surgical phase recognition using endoscopic videos ACP Guédon, SEP Meij, KN Osman, HA Kloosterman, KJ van Stralen, ... Surgical endoscopy 35, 6150-6157, 2021 | 15 | 2021 |
| Classification approach for automatic laparoscopic video database organization AP Twinanda, J Marescaux, M de Mathelin, N Padoy International journal of computer assisted radiology and surgery 10, 1449-1460, 2015 | 13 | 2015 |
| Multi-stream deep architecture for surgical phase recognition on multi-view RGBD videos AP Twinanda, P Winata, A Gangi, MD Mathelin, N Padoy Proc. M2CAI Workshop MICCAI, 1-8, 2016 | 12 | 2016 |
| Towards better laparoscopic video database organization by automatic surgery classification AP Twinanda, J Marescaux, M De Mathelin, N Padoy Information Processing in Computer-Assisted Interventions: 5th International …, 2014 | 12 | 2014 |
| On Keyframe Positioning for Pose Graphs Applied to Visual SLAM AP Twinanda, M Meilland, D Sidibé, AI Comport IEEE/RSJ International Conference on Intelligent Robots and Systems, 5th …, 2013 | 4 | 2013 |
| Erratum to: Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms AP Twinanda, EO Alkan, A Gangi, M de Mathelin, N Padoy International Journal of Computer Assisted Radiology and Surgery 10, 1177-1177, 2015 | | 2015 |
| Feature Comparison for Unsupervised Laparoscopic Video Retrieval AP Twinanda, M De Mathelin, N Padoy | | |
