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Results 1-10 of 16
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Issue DateTitleAuthor(s)
1-Jan-2018Ensembles of Multiple Models and Architectures for Robust Brain Tumour SegmentationKamnitsas, K; Bai, W; Ferrante, E; McDonagh, SG; Sinclair, M, et al
17-Apr-2017Reverse classification accuracy: predicting segmentation performance in the absence of ground truthValindria, V; Lavdas, I; Bai, W; Kamnitsas, K; Aboagye, E, 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
14-Mar-2019Automated quality control in image segmentation: application to the UK Biobank cardiac MR imaging studyRobinson, R; Valindria, VV; Bai, W; Oktay, O; Kainz, B, et al
4-Jul-2018Domain adaptation for MRI organ segmentation using reverse classification accuracyValindria, VV; Lavdas, I; Bai, W; Kamnitsas, K; Aboagye, EO, et al
11-Jun-2017Learning-based heart coverage estimation for short-axis cine cardiac MR imagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, 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
10-Sep-2017Automatic quality control of cardiac MRI segmentation in large-scale population imagingRobinson, R; Valindria, V; Bai, W; Suzuki, H; Matthews, P, 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