Ozan Oktay
Ozan Oktay
Microsoft Research Cambridge
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Attention u-net: Learning where to look for the pancreas
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
6662018
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE transactions on medical imaging 37 (2), 384-395, 2017
3822017
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 65, 2018
2472018
Attention gated networks: Learning to leverage salient regions in medical images
J Schlemper, O Oktay, M Schaap, M Heinrich, B Kainz, B Glocker, ...
Medical image analysis 53, 197-207, 2019
2322019
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ...
IEEE transactions on medical imaging 36 (2), 674-683, 2016
1992016
Multi-input cardiac image super-resolution using convolutional neural networks
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
International conference on medical image computing and computer-assisted …, 2016
1592016
Semi-supervised learning for network-based cardiac MR image segmentation
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1352017
White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
R Guerrero, C Qin, O Oktay, C Bowles, L Chen, R Joules, R Wolz, ...
NeuroImage: Clinical 17, 918-934, 2018
1092018
Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography
O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ...
IEEE transactions on medical imaging 35 (4), 967-977, 2015
632015
Adversarial and perceptual refinement for compressed sensing MRI reconstruction
M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ...
International conference on medical image computing and computer-assisted …, 2018
622018
Evaluating reinforcement learning agents for anatomical landmark detection
A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ...
Medical image analysis 53, 156-164, 2019
562019
Attention-gated networks for improving ultrasound scan plane detection
J Schlemper, O Oktay, L Chen, J Matthew, C Knight, B Kainz, B Glocker, ...
arXiv preprint arXiv:1804.05338, 2018
462018
Biomechanically driven registration of pre-to intra-operative 3d images for laparoscopic surgery
O Oktay, L Zhang, T Mansi, P Mountney, P Mewes, S Nicolau, L Soler, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2013
432013
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
W Bai, H Suzuki, C Qin, G Tarroni, O Oktay, PM Matthews, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2018
402018
Stratified decision forests for accurate anatomical landmark localization in cardiac images
O Oktay, W Bai, R Guerrero, M Rajchl, A de Marvao, DP O’Regan, ...
IEEE transactions on medical imaging 36 (1), 332-342, 2016
402016
Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling
C Biffi, O Oktay, G Tarroni, W Bai, A De Marvao, G Doumou, M Rajchl, ...
International conference on medical image computing and computer-assisted …, 2018
382018
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
R Robinson, VV Valindria, W Bai, O Oktay, B Kainz, H Suzuki, ...
Journal of Cardiovascular Magnetic Resonance 21 (1), 1-14, 2019
352019
Attention u-net: Learning where to look for the pancreas. arXiv 2018
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 1804
331804
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
MP Heinrich, O Oktay, N Bouteldja
Medical image analysis 54, 1-9, 2019
262019
Automatic view planning with multi-scale deep reinforcement learning agents
A Alansary, L Le Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
262018
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