| Learning active learning from data K Konyushkova, R Sznitman, P Fua Conference on Neural Information Processing Systems (NIPS), 2017 | 367 | 2017 |
| 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 | 239 | 2022 |
| 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 | 142 | 2018 |
| Stereo correspondence and reconstruction of endoscopic data challenge M Allan, J Mcleod, C Wang, JC Rosenthal, Z Hu, N Gard, P Eisert, KX Fu, ... arXiv preprint arXiv:2101.01133, 2021 | 138 | 2021 |
| 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 | 113 | 2012 |
| Pathological OCT retinal layer segmentation using branch residual U-shape networks S Apostolopoulos, S De Zanet, C Ciller, S Wolf, R Sznitman Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 106 | 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, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 104 | 2017 |
| 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), 2010 | 100 | 2010 |
| 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 | 95 | 2015 |
| Active testing for face detection and localization R Sznitman, B Jedynak IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (10), 1914 …, 2010 | 93 | 2010 |
| Data-driven visual tracking in retinal microsurgery R Sznitman, K Ali, R Richa, RH Taylor, GD Hager, P Fua Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 92 | 2012 |
| 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 | 91 | 2011 |
| 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 | 88 | 2018 |
| 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 | 81 | 2018 |
| 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 | 80 | 2015 |
| Multiparametric cardiovascular magnetic resonance approach in diagnosing, monitoring, and prognostication of myocarditis C Eichhorn, S Greulich, C Bucciarelli-Ducci, R Sznitman, RY Kwong, ... Cardiovascular Imaging 15 (7), 1325-1338, 2022 | 78 | 2022 |
| 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 | 76 | 2014 |
| 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 | 76 | 2012 |
| Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery S Bodenstedt, M Allan, A Agustinos, X Du, L Garcia-Peraza-Herrera, ... arXiv preprint arXiv:1805.02475, 2018 | 71 | 2018 |
| Robotic retinal surgery E Vander Poorten, CN Riviere, JJ Abbott, C Bergeles, MA Nasseri, ... Handbook of robotic and image-guided surgery, 627-672, 2020 | 61 | 2020 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
