Sledovat
Raphael Sznitman
Název
Citace
Citace
Rok
Learning active learning from data
K Konyushkova, R Sznitman, P Fua
Conference on Neural Information Processing Systems (NIPS), 2017
4002017
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
2942022
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
1652021
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
1522018
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
1162012
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
1152017
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
1132017
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
1012010
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
992015
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
972022
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
972018
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
972012
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
922011
Active testing for face detection and localization
R Sznitman, B Jedynak
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (10), 1914 …, 2010
922010
A deep learning approach to automatic detection of early glaucoma from visual fields
ŞS Kucur, G Holló, R Sznitman
PloS one 13 (11), e0206081, 2018
832018
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
822015
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
782018
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
782014
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
782012
A question-centric model for visual question answering in medical imaging
MH Vu, T Löfstedt, T Nyholm, R Sznitman
IEEE transactions on medical imaging 39 (9), 2856-2868, 2020
642020
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Články 1–20