| The Cardiac Atlas Project—an imaging database for computational modeling and statistical atlases of the heart CG Fonseca, M Backhaus, DA Bluemke, RD Britten, JD Chung, ... Bioinformatics 27 (16), 2288-2295, 2011 | 302 | 2011 |
| Machine learning in cardiovascular magnetic resonance: basic concepts and applications T Leiner, D Rueckert, A Suinesiaputra, B Baeßler, R Nezafat, I Išgum, ... Journal of Cardiovascular Magnetic Resonance 21 (1), 61, 2019 | 211 | 2019 |
| A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images A Suinesiaputra, BR Cowan, AO Al-Agamy, MA Elattar, N Ayache, ... Medical image analysis 18 (1), 50-62, 2014 | 205 | 2014 |
| Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours A Suinesiaputra, DA Bluemke, BR Cowan, MG Friedrich, CM Kramer, ... Journal of cardiovascular magnetic resonance 17, 1-8, 2015 | 177 | 2015 |
| Automated detection of regional wall motion abnormalities based on a statistical model applied to multislice short-axis cardiac MR images A Suinesiaputra, AF Frangi, TAM Kaandorp, HJ Lamb, JJ Bax, ... IEEE Transactions on Medical Imaging 28 (4), 595-607, 2009 | 110 | 2009 |
| Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis P Medrano-Gracia, BR Cowan, B Ambale-Venkatesh, DA Bluemke, J Eng, ... Journal of Cardiovascular Magnetic Resonance 16 (1), 56, 2014 | 99 | 2014 |
| Atlas-based quantification of cardiac remodeling due to myocardial infarction X Zhang, BR Cowan, DA Bluemke, JP Finn, CG Fonseca, AH Kadish, ... PloS one 9 (10), e110243, 2014 | 93 | 2014 |
| 4DFlowNet: super-resolution 4D flow MRI using deep learning and computational fluid dynamics E Ferdian, A Suinesiaputra, DJ Dubowitz, D Zhao, A Wang, B Cowan, ... Frontiers in Physics 8, 138, 2020 | 89 | 2020 |
| Statistical shape modeling of the left ventricle: myocardial infarct classification challenge A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ... IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017 | 89 | 2017 |
| 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 | 66 | 2019 |
| 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 | 65 | 2018 |
| Big heart data: advancing health informatics through data sharing in cardiovascular imaging A Suinesiaputra, P Medrano-Gracia, BR Cowan, AA Young IEEE journal of biomedical and health informatics 19 (4), 1283-1290, 2014 | 58 | 2014 |
| Independent left ventricular morphometric atlases show consistent relationships with cardiovascular risk factors: a UK biobank study K Gilbert, W Bai, C Mauger, P Medrano-Gracia, A Suinesiaputra, AM Lee, ... Scientific reports 9 (1), 1130, 2019 | 56 | 2019 |
| 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 | 50 | 2020 |
| Left ventricular segmentation challenge from cardiac MRI: a collation study A Suinesiaputra, BR Cowan, JP Finn, CG Fonseca, AH Kadish, DC Lee, ... Statistical Atlases and Computational Models of the Heart. Imaging and …, 2012 | 49 | 2012 |
| Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022 | 45 | 2022 |
| Atlas-based analysis of cardiac shape and function: correction of regional shape bias due to imaging protocol for population studies P Medrano-Gracia, BR Cowan, DA Bluemke, JP Finn, AH Kadish, DC Lee, ... Journal of Cardiovascular Magnetic Resonance 15 (1), 80, 2013 | 45 | 2013 |
| Atlas-based ventricular shape analysis for understanding congenital heart disease G Farrar, A Suinesiaputra, K Gilbert, JC Perry, S Hegde, A Marsden, ... Progress in pediatric cardiology 43, 61-69, 2016 | 35 | 2016 |
| Dense multiscale motion extraction from cardiac cine MR tagging using HARP technology L Florack, H van Assen, A Suinesiaputra 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 33 | 2007 |
| Domain-adversarial learning for multi-centre, multi-vendor, and multi-disease cardiac MR image segmentation CM Scannell, A Chiribiri, M Veta Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 30 | 2021 |
Alistair A YoungKing's College LondonVerificeret mail på kcl.ac.uk
