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Issue DateTitleAuthor(s)
16-Sep-2018Computing CNN loss and gradients for pose estimation with Riemannian geometryHou, B; Miolane, N; Khanal, B; Lee, M; Alansary, A, 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
1-Aug-20183D reconstruction in canonical co-ordinate space from arbitrarily oriented 2D imagesHou, B; Khanal, B; Alansary, A; McDonagh, S; Davidson, A, et al
1-Apr-2019Evaluating reinforcement learning agents for anatomical landmark detectionAlansary, A; Oktay, O; Li, Y; Folgoc, LL; Hou, B, et al
10-Jul-2018Semi-supervised learning via compact latent space clusteringKamnitsas, K; Coelho De Castro, D; Le Folgoc, L; Walker, I; Tanno, R, et al
7-Sep-2017Predicting slice-to-volume transformation in presence of arbitrary subject motionHou, B; Alansary, A; McDonagh, S; Davidson, A; Rutherford, M, et al
31-Dec-2018Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesSchlemper, J; Oktay, O; Schaap, M; Heinrich, M; Kainz, B, et al
22-May-2019Controlling meshes via curvature: spin transformations for pose-invariant shape processingFolgoc, LL; Castro, DC; Tan, J; Khanal, B; Kamnitsas, K, et al
14-Sep-2018Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.Bai, W; Sinclair, M; Tarroni, G; Oktay, O; Rajchl, M, et al
-Overfitting of neural nets under class imbalance: Analysis and improvements for segmentationLi, Z; Kamnitsas, K; Glocker, B; Commission of the European Communities; Engineering & Physical Science Research Council (E