Följ
Valentina Carapella
Valentina Carapella
Verifierad e-postadress på kcl.ac.uk
Titel
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År
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), 1-12, 2018
4812018
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
4172017
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
145*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
842019
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
702018
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
692017
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
532018
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
522018
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
502018
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
482015
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, 1-13, 2019
472019
Chaste: Cancer, heart and soft tissue environment
FR Cooper, RE Baker, MO Bernabeu, R Bordas, L Bowler, ...
Journal of Open Source Software, 2020
392020
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
372019
Human-level CMR image analysis with deep fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
332017
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
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
252018
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
242019
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: First …, 2016
182016
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
162019
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
112020
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