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Results 1-10 of 13
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Issue DateTitleAuthor(s)
1-Nov-2018Learning-Based Quality Control for Cardiac MR ImagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, et al
31-Dec-2018Real-time prediction of segmentation qualityRobinson, R; Oktay, O; Bai, W; Valindria, V; Sanghvi, MM, et al
31-Dec-2018Automatic view planning with multi-scale deep reinforcement learning agentsAlansary, A; Le Folgoc, L; Vaillant, G; Oktay, O; Li, Y, et al
20-Dec-2017White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networksGuerrero, R; Qin, C; Oktay, O; Bowles, C; Chen, L, et al
1-Apr-2019Evaluating reinforcement learning agents for anatomical landmark detectionAlansary, A; Oktay, O; Li, Y; Folgoc, LL; Hou, B, et al
10-Sep-2017Semi-supervised learning for network-based cardiac MR image segmentationBai, W; Oktay, O; Sinclair, M; Suzuki, H; Rajchl, M, et al
9-Oct-2015Automated localization of fetal organs in MRI using random forests with steerable featuresKeraudren, K; Kainz, B; Oktay, O; Kyriakopoulou, V; Rutherford, M, et al
9-Nov-2016DeepCut: object segmentation from bounding box annotations using convolutional neural networksRajchl, M; Lee, MCH; Oktay, O; Kamnitsas, K; Passerat-Palmbach, J, et al
26-Sep-2017Anatomically Constrained Neural Networks (ACNN): application to cardiac image enhancement and segmentationOktay, O; Ferrante, E; Kamnitsas, K; Heinrich, M; Bai, W, et al
13-Sep-2016Stratified decision forests for accurate anatomical landmark localization in cardiac imagesOktay, O; Bai, W; Guerrero, R; Rajchl, M; De Marvao, A, et al