Kenneth Fung
Kenneth Fung
Verified email at qmul.ac.uk
Title
Cited by
Cited by
Year
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
3182018
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), 1-19, 2017
2772017
Icosahedrally related decagonal quasicrystal in rapidly cooled Al-14-at.%-Fe alloy
KK Fung, CY Yang, YQ Zhou, JG Zhao, WS Zhan, BG Shen
Physical review letters 56 (19), 2060, 1986
2701986
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
552019
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), 1-14, 2019
492019
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
462018
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
442017
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 (2), 281-291, 2018
392018
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
352020
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
352018
Real-time prediction of segmentation quality
R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
312018
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), 1-13, 2019
272019
Human-level cmr image analysis with deep fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
252017
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
232020
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
232019
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
222019
Icosahedral phase in rapidly cooled Al-Fe-Ce alloy
LY Yang, JG Zhao, WS Zhan, CY Yang, YQ Zhou, KK Fung
Journal of Physics F: Metal Physics 17 (6), L97, 1987
201987
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
192018
Towards the semantic enrichment of free-text annotation of image quality assessment for UK Biobank cardiac Cine MRI scans
V Carapella, E Jiménez-Ruiz, E Lukaschuk, N Aung, K Fung, J Paiva, ...
Deep Learning and Data Labeling for Medical Applications, 238-248, 2016
162016
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
142020
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Articles 1–20