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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
15-Sep-2018Small organ segmentation in whole-body MRI using a two-stage FCN and weighting schemesValindria, V; Lavdas, I; Cerrolaza, J; Aboagye, EO; Rockall, A, et al
21-Nov-2016Titin truncating variants affect heart function in disease cohorts and the general populationSchafer, S; De Marvao, A; Adami, E; Fiedler, LR; Ng, B, et al
14-Nov-2018Identifying the optimal regional predictor of right ventricular global function: a high resolution 3D cardiac magnetic resonance studyDawes, T; Simoes Monteiro de Marvao, A; Shi, W; Rueckert, D; Cook, S, et al
30-Jul-2017Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach.Lavdas, I; Glocker, B; Kamnitsas, K; Rueckert, D; Mair, 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
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