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Kenneth Fung
Kenneth Fung
在 qmul.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
6622018
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
5592016
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
1612019
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
1342020
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
1262020
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
1202019
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
882018
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
762017
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
712018
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
682019
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
652018
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
632019
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
592018
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
562019
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
542020
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
432019
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
412022
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
392017
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
362019
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
332018
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