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Results 1-10 of 17
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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
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
28-Nov-2016Fast fully automatic segmentation of the severely abnormal human right ventricle from cardiovascular magnetic resonance images using a multi-scale 3D convolutional neural networkGiannakidis, A; Kamnitsas, K; Spadotto, V; Keegan, J; Smith, G, et al
4-Feb-2016Integration of flow studies for robust selection of mechanoresponsive genesMaimari, N; Pedrigi, RM; Russo, A; Broda, K; Krams, R, 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
31-May-2016Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonanceCorden, B; De Marvao, A; Dawes, T; Shi, W; Rueckert, D, et al
19-Dec-2018Fibrosis Microstructure Modulates Reentry in Non-ischemic Dilated Cardiomyopathy: Insights From Imaged Guided 2D Computational ModelingBalaban, G; Halliday, BP; Costa, CM; Bai, W; Porter, B, et al
1-Jun-2018DAGAN: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstructionYang, G; Yu, S; Hao, D; Slabaugh, G; Dragotti, PL, 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