| Development of BOLD signal hemodynamic responses in the human brain T Arichi, G Fagiolo, M Varela, A Melendez-Calderon, A Allievi, N Merchant, ... Neuroimage 63 (2), 663-673, 2012 | 229 | 2012 |
| A method for rapid in vivo measurement of blood T1 M Varela, JV Hajnal, ET Petersen, X Golay, N Merchant, DJ Larkman NMR in biomedicine 24 (1), 80-88, 2011 | 111 | 2011 |
| The role of myocardial wall thickness in atrial arrhythmogenesis J Whitaker, R Rajani, H Chubb, M Gabrawi, M Varela, M Wright, ... Ep Europace 18 (12), 1758-1772, 2016 | 109 | 2016 |
| Novel computational analysis of left atrial anatomy improves prediction of atrial fibrillation recurrence after ablation M Varela, F Bisbal, E Zacur, A Berruezo, OV Aslanidi, L Mont, P Lamata Frontiers in physiology 8, 68, 2017 | 80 | 2017 |
| MONSTIR II: a 32-channel, multispectral, time-resolved optical tomography system for neonatal brain imaging RJ Cooper, E Magee, N Everdell, S Magazov, M Varela, D Airantzis, ... Review of Scientific Instruments 85 (5), 2014 | 65 | 2014 |
| Atrial heterogeneity generates re-entrant substrate during atrial fibrillation and anti-arrhythmic drug action: mechanistic insights from canine atrial models M Varela, MA Colman, JC Hancox, OV Aslanidi PLoS computational biology 12 (12), e1005245, 2016 | 58 | 2016 |
| Algorithms for left atrial wall segmentation and thickness–evaluation on an open-source CT and MRI image database R Karim, LE Blake, J Inoue, Q Tao, S Jia, RJ Housden, P Bhagirath, ... Medical image analysis 50, 36-53, 2018 | 57 | 2018 |
| Image-based computational evaluation of the effects of atrial wall thickness and fibrosis on re-entrant drivers for atrial fibrillation A Roy, M Varela, O Aslanidi Frontiers in physiology 9, 1352, 2018 | 56 | 2018 |
| Heterogeneous and anisotropic integrative model of pulmonary veins: computational study of arrhythmogenic substrate for atrial fibrillation OV Aslanidi, MA Colman, M Varela, J Zhao, BH Smaill, JC Hancox, ... Interface focus 3 (2), 20120069, 2013 | 50 | 2013 |
| Novel MRI technique enables non-invasive measurement of atrial wall thickness M Varela, R Morgan, A Theron, D Dillon-Murphy, H Chubb, J Whitaker, ... IEEE transactions on medical imaging 36 (8), 1607-1614, 2017 | 49 | 2017 |
| Mean cerebral blood flow measurements using phase contrast MRI in the first year of life M Varela, AM Groves, T Arichi, JV Hajnal NMR in Biomedicine 25 (9), 1063-1072, 2012 | 47 | 2012 |
| EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks C Herrero Martin, A Oved, RA Chowdhury, E Ullmann, NS Peters, ... Frontiers in Cardiovascular Medicine 8, 768419, 2022 | 46 | 2022 |
| Evolution and pharmacological modulation of the arrhythmogenic wave dynamics in canine pulmonary vein model MA Colman, M Varela, JC Hancox, H Zhang, OV Aslanidi Europace 16 (3), 416-423, 2014 | 44 | 2014 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 43 | 2022 |
| Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ... IEEE Journal of Biomedical and Health Informatics 27 (7), 3302-3313, 2023 | 42 | 2023 |
| LA-Net: A multi-task deep network for the segmentation of the left atrium F Uslu, M Varela, G Boniface, T Mahenthran, H Chubb, AA Bharath IEEE transactions on medical imaging 41 (2), 456-464, 2021 | 40 | 2021 |
| Cerebral blood flow measurements in infants using look–locker arterial spin labeling M Varela, ET Petersen, X Golay, JV Hajnal Journal of Magnetic Resonance Imaging 41 (6), 1591-1600, 2015 | 33 | 2015 |
| Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium A Roy, M Varela, H Chubb, R MacLeod, JC Hancox, T Schaeffter, ... PLoS computational biology 16 (9), e1008086, 2020 | 32 | 2020 |
| Determination of atrial myofibre orientation using structure tensor analysis for biophysical modelling M Varela, J Zhao, OV Aslanidi Functional Imaging and Modeling of the Heart: 7th International Conference …, 2013 | 17 | 2013 |
| Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI A Lourenço, E Kerfoot, C Dibblin, E Alskaf, M Anjari, AA Bharath, AP King, ... Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 15 | 2021 |
Oleg AslanidiKing's College LondonVerified email at kcl.ac.uk