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Raphael Sznitman
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Year
Learning active learning from data
K Konyushkova, R Sznitman, P Fua
Conference on Neural Information Processing Systems (NIPS), 2017
3512017
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
2082022
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
1362018
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
1192021
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
1122012
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
1022017
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
1012017
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
992010
Active testing for face detection and localization
R Sznitman, B Jedynak
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (10), 1914 …, 2010
932010
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
922015
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
922012
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
902011
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
842018
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
802015
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
752012
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
742018
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
742014
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
652022
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
652018
Visual tracking of surgical tools for proximity detection in retinal surgery
R Richa, M Balicki, E Meisner, R Sznitman, R Taylor, G Hager
Information Processing in Computer-Assisted Interventions: Second …, 2011
582011
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