| Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ... IEEE transactions on medical imaging 37 (2), 384-395, 2017 | 849 | 2017 |
| Integrated allelic, transcriptional, and phenomic dissection of the cardiac effects of titin truncations in health and disease AM Roberts, JS Ware, DS Herman, S Schafer, J Baksi, AG Bick, ... Science translational medicine 7 (270), 270ra6-270ra6, 2015 | 507 | 2015 |
| Cardiac image super-resolution with global correspondence using multi-atlas patchmatch W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 325 | 2013 |
| Titin-truncating variants affect heart function in disease cohorts and the general population S Schafer, A De Marvao, E Adami, LR Fiedler, B Ng, E Khin, ... Nature genetics 49 (1), 46-53, 2017 | 323 | 2017 |
| Genetic variants associated with cancer therapy–induced cardiomyopathy P Garcia-Pavia, Y Kim, MA Restrepo-Cordoba, IG Lunde, H Wakimoto, ... Circulation 140 (1), 31-41, 2019 | 292 | 2019 |
| Multi-input cardiac image super-resolution using convolutional neural networks O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ... Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 290 | 2016 |
| Deep-learning cardiac motion analysis for human survival prediction GA Bello, TJW Dawes, J Duan, C Biffi, A De Marvao, LSGE Howard, ... Nature machine intelligence 1 (2), 95-104, 2019 | 267 | 2019 |
| Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging study TJW Dawes, A de Marvao, W Shi, T Fletcher, GMJ Watson, J Wharton, ... Radiology 283 (2), 381-390, 2017 | 258 | 2017 |
| Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect R Tadros, C Francis, X Xu, AMC Vermeer, AR Harper, R Huurman, ... Nature genetics 53 (2), 128-134, 2021 | 229 | 2021 |
| Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach J Duan, G Bello, J Schlemper, W Bai, TJW Dawes, C Biffi, A de Marvao, ... IEEE transactions on medical imaging 38 (9), 2151-2164, 2019 | 228 | 2019 |
| Reevaluating the genetic contribution of monogenic dilated cardiomyopathy F Mazzarotto, U Tayal, RJ Buchan, W Midwinter, A Wilk, N Whiffin, ... Circulation 141 (5), 387-398, 2020 | 216 | 2020 |
| A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion W Bai, W Shi, A de Marvao, TJW Dawes, DP O’Regan, SA Cook, ... Medical image analysis 26 (1), 133-145, 2015 | 182 | 2015 |
| Quantitative approaches to variant classification increase the yield and precision of genetic testing in Mendelian diseases: the case of hypertrophic cardiomyopathy R Walsh, F Mazzarotto, N Whiffin, R Buchan, W Midwinter, A Wilk, N Li, ... Genome medicine 11, 1-18, 2019 | 140 | 2019 |
| Genetic and functional insights into the fractal structure of the heart HV Meyer, TJW Dawes, M Serrani, W Bai, P Tokarczuk, J Cai, ... Nature 584 (7822), 589-594, 2020 | 131 | 2020 |
| Body fat is associated with reduced aortic stiffness until middle age B Corden, NG Keenan, ASM de Marvao, TJW Dawes, A DeCesare, ... Hypertension 61 (6), 1322-1327, 2013 | 109 | 2013 |
| Genetic architecture of acute myocarditis and the overlap with inherited cardiomyopathy AS Lota, MR Hazebroek, P Theotokis, R Wassall, S Salmi, BP Halliday, ... Circulation 146 (15), 1123-1134, 2022 | 106 | 2022 |
| Stratified decision forests for accurate anatomical landmark localization in cardiac images O Oktay, W Bai, R Guerrero, M Rajchl, A De Marvao, DP O’Regan, ... IEEE transactions on medical imaging 36 (1), 332-342, 2016 | 88 | 2016 |
| Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling C Biffi, O Oktay, G Tarroni, W Bai, A De Marvao, G Doumou, M Rajchl, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 87 | 2018 |
| Geodesic patch-based segmentation Z Wang, KK Bhatia, B Glocker, A Marvao, T Dawes, K Misawa, K Mori, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 86 | 2014 |
| Phenotypic expression and outcomes in individuals with rare genetic variants of hypertrophic cardiomyopathy A de Marvao, KA McGurk, SL Zheng, M Thanaj, W Bai, J Duan, C Biffi, ... Journal of the American College of Cardiology 78 (11), 1097-1110, 2021 | 79 | 2021 |
Declan O'ReganBHF Chair of Cardiovascular AI, MRC Laboratory of Medical Sciences, Imperial College LondonVerified email at imperial.ac.uk