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Jose Miguel Paiva
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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
6282018
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
5212016
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
1712016
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
1132020
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
1122019
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
832018
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
742017
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
622018
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
622018
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
572019
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
562018
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
R Attar, M Pereaņez, A Gooya, X Albā, L Zhang, MH de Vila, AM Lee, ...
Medical image analysis 56, 26-42, 2019
552019
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
502020
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
372017
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
342019
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
322018
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
252021
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
242021
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
242019
Artifact level produced by different femoral head prostheses in CT imaging: diamond coated silicon nitride as total hip replacement material
SP Rodrigues, JM Paiva, S De Francesco, MI Amaral, FJ Oliveira, ...
Journal of Materials Science: Materials in Medicine 24, 231-239, 2013
232013
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