| Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge VM Campello, P Gkontra, C Izquierdo, C Martín-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging, 2021 | 394 | 2021 |
| Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho, L Igual, P Radeva, ... Physica Medica 83, 25-37, 2021 | 134 | 2021 |
| Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease A Linardos, K Kushibar, S Walsh, P Gkontra, K Lekadir Scientific Reports 12 (1), 1-12, 2022 | 78 | 2022 |
| Macrophages promote endothelial-to-mesenchymal transition via MT1-MMP/TGFβ1 after myocardial infarction L Alonso-Herranz, Á Sahún-Español, A Paredes, P Gonzalo, P Gkontra, ... eLife 9, e57920, 2020 | 65 | 2020 |
| PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers L Martí-Bonmatí, Á Alberich-Bayarri, R Ladenstein, I Blanquer, ... European Radiology Experimental 4, 1-11, 2020 | 64 | 2020 |
| 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, 2023 | 51 | 2023 |
| Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models A Salih, I Boscolo Galazzo, P Gkontra, AM Lee, K Lekadir, ... Circulation: Cardiovascular Imaging 16 (4), e014519, 2023 | 39 | 2023 |
| Machine and deep learning for longitudinal biomedical data: a review of methods and applications A Cascarano, J Mur-Petit, J Hernández-González, M Camacho, ... Artificial Intelligence Review, 1-61, 2023 | 35 | 2023 |
| REPEATABILITY OF CARDIAC MAGNETIC RESONANCE RADIOMICS: A MULTICENTRE MULTI-VENDOR TEST-RETEST STUDY Z Raisi-Estabragh, P Gkontra, A Jaggi, J Cooper, JB Augusto, A Bhuva, ... Frontiers in Cardiovascular Medicine 7, 289, 2020 | 32 | 2020 |
| Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis P Gkontra, KA Norton, MM Żak, C Clemente, J Agüero, B Ibáñez, A Santos, ... Scientific reports 8 (1), 1854, 2018 | 29 | 2018 |
| Accurate and fully automatic hippocampus segmentation using subject-specific 3D optimal local maps into a hybrid active contour model D Zarpalas, P Gkontra, P Daras, N Maglaveras IEEE journal of translational engineering in health and medicine 2, 1-16, 2014 | 26 | 2014 |
| Estimation of biological heart age using cardiovascular magnetic resonance radiomics Z Raisi-Estabragh, A Salih, P Gkontra, A Atehortúa, P Radeva, ... Scientific reports 12 (1), 1-12, 2022 | 23 | 2022 |
| Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging L Szabo, Z Raisi-Estabragh, A Salih, C McCracken, ER Pujadas, ... Frontiers in Cardiovascular Medicine 9, 2022 | 23 | 2022 |
| Radiomics-based classification of left ventricular noncompaction, hypertrophic cardiomyopathy, and dilated cardiomyopathy in cardiovascular magnetic resonance C Izquierdo, G Casas, C Martin Isla, VM Campello, A Guala, P Gkontra, ... Frontiers in Cardiovascular Medicine, 1502, 2021 | 22 | 2021 |
| New imaging signatures of cardiac alterations in ischaemic heart disease and cerebrovascular disease using CMR radiomics E Rauseo, C Izquierdo Morcillo, Z Raisi-Estabragh, P Gkontra, N Aung, ... Frontiers in Cardiovascular Medicine, 1209, 2021 | 21 | 2021 |
| Cardiac magnetic resonance radiomics reveal differential impact of sex, age, and vascular risk factors on cardiac structure and myocardial tissue Z Raisi-Estabragh, A Jaggi, P Gkontra, C McCracken, N Aung, PB Munroe, ... Frontiers in cardiovascular medicine, 1972, 2021 | 21 | 2021 |
| A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation A Salih, IB Galazzo, Z Raisi-Estabragh, SE Petersen, P Gkontra, K Lekadir, ... 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 16 | 2021 |
| Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge C Martín-Isla, M Asadi-Aghbolaghi, P Gkontra, VM Campello, S Escalera, ... Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 1-16, 2020 | 16 | 2020 |
| Gradient-based reliability maps for ACM-based segmentation of hippocampus D Zarpalas, P Gkontra, P Daras, N Maglaveras IEEE Transactions on Biomedical Engineering 61 (4), 1015-1026, 2014 | 14 | 2014 |
| Dynamic Changes in Microvascular Flow Conductivity and Perfusion After Myocardial Infarction Shown by Image‐Based Modeling P Gkontra, WK El‐Bouri, KA Norton, A Santos, AS Popel, SJ Payne, ... Journal of the American Heart Association 8 (7), e011058, 2019 | 13 | 2019 |
