Automated cardiovascular magnetic resonance image analysis with fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... Journal of cardiovascular magnetic resonance 20 (1), 65, 2018 | 688 | 2018 |
Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort SE Petersen, N Aung, MM Sanghvi, F Zemrak, K Fung, JM Paiva, ... Journal of cardiovascular magnetic resonance 19 (1), 18, 2016 | 580 | 2016 |
Genome-wide analysis of left ventricular image-derived phenotypes identifies fourteen loci associated with cardiac morphogenesis and heart failure development N Aung, JD Vargas, C Yang, CP Cabrera, HR Warren, K Fung, E Tzanis, ... Circulation 140 (16), 1318-1330, 2019 | 170 | 2019 |
A population-based phenome-wide association study of cardiac and aortic structure and function W Bai, H Suzuki, J Huang, C Francis, S Wang, G Tarroni, F Guitton, ... Nature medicine 26 (10), 1654-1662, 2020 | 146 | 2020 |
Improving the generalizability of convolutional neural network-based segmentation on CMR images C Chen, W Bai, RH Davies, AN Bhuva, CH Manisty, JB Augusto, JC Moon, ... Frontiers in cardiovascular medicine 7, 105, 2020 | 131 | 2020 |
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study R Robinson, VV Valindria, W Bai, O Oktay, B Kainz, H Suzuki, ... Journal of Cardiovascular Magnetic Resonance 21, 1-14, 2019 | 123 | 2019 |
Association between ambient air pollution and cardiac morpho-functional phenotypes: insights from the UK Biobank Population Imaging Study N Aung, MM Sanghvi, F Zemrak, AM Lee, JA Cooper, JM Paiva, ... Circulation 138 (20), 2175-2186, 2018 | 90 | 2018 |
The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study SE Petersen, MM Sanghvi, N Aung, JA Cooper, JM Paiva, F Zemrak, ... PloS one 12 (10), e0185114, 2017 | 78 | 2017 |
Real-time prediction of segmentation quality R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 73 | 2018 |
Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank C Mauger, K Gilbert, AM Lee, MM Sanghvi, N Aung, K Fung, V Carapella, ... Journal of Cardiovascular Magnetic Resonance 21 (1), 41, 2019 | 69 | 2019 |
Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results A Suinesiaputra, MM Sanghvi, N Aung, JM Paiva, F Zemrak, K Fung, ... The international journal of cardiovascular imaging 34, 281-291, 2018 | 67 | 2018 |
Changes in cardiac morphology and function in individuals with diabetes mellitus: the UK biobank cardiovascular magnetic resonance substudy MT Jensen, K Fung, N Aung, MM Sanghvi, S Chadalavada, JM Paiva, ... Circulation: Cardiovascular Imaging 12 (9), e009476, 2019 | 65 | 2019 |
Prospective association between handgrip strength and cardiac structure and function in UK adults SE Beyer, MM Sanghvi, N Aung, A Hosking, JA Cooper, JM Paiva, ... PloS one 13 (3), e0193124, 2018 | 61 | 2018 |
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation R Attar, M Pereañez, A Gooya, X Albà, L Zhang, MH de Vila, AM Lee, ... Medical image analysis 56, 26-42, 2019 | 58 | 2019 |
Fully automated myocardial strain estimation from cardiovascular MRI–tagged images using a deep learning framework in the UK Biobank E Ferdian, A Suinesiaputra, K Fung, N Aung, E Lukaschuk, A Barutcu, ... Radiology: Cardiothoracic Imaging 2 (1), e190032, 2020 | 55 | 2020 |
Mitral annular disjunction assessed using CMR imaging: insights from the UK biobank population study D Zugwitz, K Fung, N Aung, E Rauseo, C McCracken, J Cooper, ... Cardiovascular Imaging 15 (11), 1856-1866, 2022 | 49 | 2022 |
Genome-wide association study identifies loci for arterial stiffness index in 127,121 UK Biobank participants K Fung, J Ramírez, HR Warren, N Aung, AM Lee, E Tzanis, SE Petersen, ... Scientific reports 9 (1), 9143, 2019 | 49 | 2019 |
Human-level CMR image analysis with deep fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... arXiv preprint arXiv:1710.09289, 2017 | 39 | 2017 |
Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data L Biasiolli, E Hann, E Lukaschuk, V Carapella, JM Paiva, N Aung, ... PLoS One 14 (2), e0212272, 2019 | 36 | 2019 |
The impact of menopausal hormone therapy (MHT) on cardiac structure and function: insights from the UK Biobank imaging enhancement study MM Sanghvi, N Aung, JA Cooper, JM Paiva, AM Lee, F Zemrak, K Fung, ... PloS one 13 (3), e0194015, 2018 | 34 | 2018 |