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Ozan Oktay
Ozan Oktay
lmperial College London
Verified email at ic.ac.uk - Homepage
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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
67732018
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
16452019
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
8272017
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
7182018
Semi-supervised learning for network-based cardiac MR image segmentation
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
4972017
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
4792016
Attention u-net: Learning where to look for the pancreas. arXiv
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999 10, 2018
4082018
Multi-input cardiac image super-resolution using convolutional neural networks
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
2872016
Attention u-net: learning where to look for the pancreas (2018)
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 1804
2441804
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
2392018
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ...
European Conference on Computer Vision (ECCV), 2022
2192022
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
2012019
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1482018
Adversarial and perceptual refinement for compressed sensing MRI reconstruction
M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1352018
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, 1-14, 2019
1292019
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
1252018
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
1132015
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
S Bannur, S Hyland, Q Liu, F Perez-Garcia, M Ilse, DC Castro, B Boecking, ...
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
992023
Image-and-spatial transformer networks for structure-guided image registration
MCH Lee, O Oktay, A Schuh, M Schaap, B Glocker
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
992019
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
872016
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