| 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 | 755 | 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 | 617 | 2016 |
| MicroRNA-124 loaded nanoparticles enhance brain repair in Parkinson's disease C Saraiva, J Paiva, T Santos, L Ferreira, L Bernardino Journal of Controlled Release 235, 291-305, 2016 | 189 | 2016 |
| 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 | 148 | 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 | 134 | 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 | 102 | 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 | 82 | 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 | 80 | 2018 |
| 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 | 72 | 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 | 71 | 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 | 65 | 2018 |
| 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 | 63 | 2020 |
| 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 | 62 | 2019 |
| 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 | 43 | 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 | 41 | 2017 |
| Cardiovascular magnetic resonance reference values of mitral and tricuspid annular dimensions: the UK Biobank cohort F Ricci, N Aung, S Gallina, F Zemrak, K Fung, G Bisaccia, JM Paiva, ... Journal of cardiovascular magnetic resonance 23 (1), 5, 2021 | 38 | 2021 |
| 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 | 38 | 2018 |
| Adverse cardiovascular magnetic resonance phenotypes are associated with greater likelihood of incident coronavirus disease 2019: findings from the UK Biobank Z Raisi-Estabragh, C McCracken, J Cooper, K Fung, JM Paiva, MY Khanji, ... Aging Clinical and Experimental Research 33, 1133-1144, 2021 | 33 | 2021 |
| Quality control-driven image segmentation towards reliable automatic image analysis in large-scale cardiovascular magnetic resonance aortic cine imaging E Hann, L Biasiolli, Q Zhang, IA Popescu, K Werys, E Lukaschuk, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 33 | 2019 |
| Physical activity and left ventricular trabeculation in the UK Biobank community-based cohort study SP Woodbridge, N Aung, JM Paiva, MM Sanghvi, F Zemrak, K Fung, ... Heart 105 (13), 990-998, 2019 | 31 | 2019 |
Steffen E PetersenQueen Mary University of London確認したメール アドレス: qmul.ac.uk
