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Issue DateTitleAuthor(s)
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
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
4-Sep-2017Three-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate FrameworkBiffi, C; Simoes Monteiro de Marvao, A; Attard, M; Dawes, T; Whiffin, N, 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
16-Sep-2018Learning interpretable anatomical features through deep generative models: Application to cardiac remodelingBiffi, C; Oktay, O; Tarroni, G; Bai, W; De Marvao, A, et al
Sep-2019Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approachDuan, J; Bello, G; Schlemper, J; Bai, W; Dawes, TJW, et al
1-May-2019Learning-based quality control for cardiac MR imagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, et al
6-Jan-2020Explainable anatomical shape analysis through deep hierarchical generative modelsBiffi, C; Cerrolaza Martinez, JJ; Tarroni, G; Bai, W; Simoes Monteiro de Marvao, A, et al
1-Jul-2013A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR imagesBai, W; Shi, W; O'Regan, DP; Tong, T; Wang, H, et al