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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
1-Jan-2018Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertensionDuan, J; Schlemper, J; Bai, W; Dawes, TJW; Bello, G, et al
23-Jan-2019Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approachDuan, J; Bello, G; Schlemper, J; Bai, W; Dawes, TJW, 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
1-May-2017Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging studyDawes, T; Simoes monteiro de marvao, A; Shi, W; Fletcher, T; Watson, G, 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
2-Jul-2017Systolic motion of the basal right ventricular freewall is the strongest predictor of global function: a high resolution 3D imaging studyDawes, T; De Marvao, A; Shi, W; Rueckert, D; Cook, S, et al
1-Aug-2015Left ventricular remodelling with increasing body fat: a 3D cardiac phenotyping studyCorden, B; De Marvao, ASM; Dawes, TJW; Shi, W; Rueckert, D, 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
11-Feb-2019Deep learning cardiac motion analysis for human survival predictionBello, G; Dawes, T; Duan, J; Biffi, C; Simoes Monteiro de Marvao, A, et al