Valentina Carapella
Valentina Carapella
Verified email at kcl.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
3152018
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
2742017
Images as drivers of progress in cardiac computational modelling
P Lamata, R Casero, V Carapella, SA Niederer, MJ Bishop, JE Schneider, ...
Progress in biophysics and molecular biology 115 (2-3), 198-212, 2014
131*2014
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
Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop
B Rodriguez, A Carusi, N Abi-Gerges, R Ariga, O Britton, G Bub, ...
Ep Europace 18 (9), 1287-1298, 2015
432015
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
382018
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
Quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle
V Carapella, R Bordas, P Pathmanathan, M Lohezic, JE Schneider, ...
PloS one 9 (4), e92792, 2014
322014
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
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
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
Chaste: cancer, heart and soft tissue environment
FR Cooper, RE Baker, MO Bernabeu, R Bordas, L Bowler, ...
Journal of Open Source Software, 2020
162020
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
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
142019
Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization
V Carapella, H Puchta, E Lukaschuk, C Marini, K Werys, S Neubauer, ...
International journal of cardiology 298, 128-134, 2020
82020
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
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