| Learning active learning from data K Konyushkova, R Sznitman, P Fua Conference on Neural Information Processing Systems (NIPS), 2017 | 252 | 2017 |
| Twenty questions with noise: Bayes optimal policies for entropy loss B Jedynak, PI Frazier, R Sznitman Journal of Applied Probability 49 (1), 114-136, 2012 | 103 | 2012 |
| Articulated multi-instrument 2-D pose estimation using fully convolutional networks X Du, T Kurmann, PL Chang, M Allan, S Ourselin, R Sznitman, JD Kelly, ... IEEE transactions on medical imaging 37 (5), 1276-1287, 2018 | 93 | 2018 |
| Active testing for face detection and localization R Sznitman, B Jedynak IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (10), 1914 …, 2010 | 89 | 2010 |
| Propulsive force measurements and flow behavior of undulatory swimmers at low Reynolds number J Sznitman, X Shen, R Sznitman, PE Arratia Physics of Fluids 22 (12), 121901, 2010 | 88 | 2010 |
| Visual tracking using the sum of conditional variance R Richa, R Sznitman, R Taylor, G Hager 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 80 | 2011 |
| Data-driven visual tracking in retinal microsurgery R Sznitman, K Ali, R Richa, RH Taylor, GD Hager, P Fua International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 77 | 2012 |
| Pathological OCT retinal layer segmentation using branch residual u-shape networks S Apostolopoulos, SD Zanet, C Ciller, S Wolf, R Sznitman International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 71 | 2017 |
| Simultaneous recognition and pose estimation of instruments in minimally invasive surgery T Kurmann, P Marquez Neila, X Du, P Fua, D Stoyanov, S Wolf, ... International conference on medical image computing and computer-assisted …, 2017 | 66 | 2017 |
| Unified detection and tracking of instruments during retinal microsurgery R Sznitman, R Richa, RH Taylor, B Jedynak, GD Hager IEEE transactions on pattern analysis and machine intelligence 35 (5), 1263-1273, 2012 | 66 | 2012 |
| Quantitative analysis of mouse retinal layers using automated segmentation of spectral domain optical coherence tomography images C Dysli, V Enzmann, R Sznitman, MS Zinkernagel Translational vision science & technology 4 (4), 9-9, 2015 | 64 | 2015 |
| Introducing geometry in active learning for image segmentation K Konyushkova, R Sznitman, P Fua Proceedings of the IEEE International Conference on Computer Vision, 2974-2982, 2015 | 64 | 2015 |
| Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery R Sznitman, C Becker, P Fua Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 …, 2014 | 63 | 2014 |
| Supervised machine learning for analysing spectra of exoplanetary atmospheres P Márquez-Neila, C Fisher, R Sznitman, K Heng Nature astronomy 2 (9), 719-724, 2018 | 54 | 2018 |
| Surgical data science–from concepts toward clinical translation L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ... Medical image analysis 76, 102306, 2022 | 53 | 2022 |
| Visual tracking of surgical tools for proximity detection in retinal surgery R Richa, M Balicki, E Meisner, R Sznitman, R Taylor, G Hager International Conference on Information Processing in Computer-Assisted …, 2011 | 50 | 2011 |
| Vision-based proximity detection in retinal surgery R Richa, M Balicki, R Sznitman, E Meisner, R Taylor, G Hager IEEE transactions on biomedical engineering 59 (8), 2291-2301, 2012 | 47 | 2012 |
| Non-rigid graph registration using active testing search E Serradell, MA Pinheiro, R Sznitman, J Kybic, F Moreno-Noguer, P Fua IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (3), 625-638, 2014 | 45 | 2014 |
| Multi-Environment Model Estimation for Motility Analysis of Caenorhabditis elegans R Sznitman, M Gupta, GD Hager, PE Arratia, J Sznitman PLoS One 5 (7), e11631, 2010 | 43 | 2010 |
| A deep learning approach to automatic detection of early glaucoma from visual fields ŞS Kucur, G Hollo, R Sznitman PloS one 13 (11), e0206081, 2018 | 40 | 2018 |
Pascal FuaProfessor Computer Science, EPFL在 epfl.ch 的电子邮件经过验证
