| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018 | 1961 | 2018 |
| Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021 | 403 | 2021 |
| A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging P Peng, K Lekadir, A Gooya, L Shao, SE Petersen, AF Frangi Magnetic Resonance Materials in Physics, Biology and Medicine 29, 155-195, 2016 | 337 | 2016 |
| A convolutional neural network for automatic characterization of plaque composition in carotid ultrasound K Lekadir, A Galimzianova, A Betriu, M del Mar Vila, L Igual, DL Rubin, ... IEEE journal of biomedical and health informatics 21 (1), 48-55, 2016 | 230 | 2016 |
| Image-based cardiac diagnosis with machine learning: a review C Martin-Isla, VM Campello, C Izquierdo, Z Raisi-Estabragh, B Baeßler, ... Frontiers in cardiovascular medicine 7, 1, 2020 | 214 | 2020 |
| 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 | 136 | 2021 |
| A high-resolution atlas and statistical model of the human heart from multislice CT C Hoogendoorn, N Duchateau, D Sanchez-Quintana, T Whitmarsh, ... IEEE transactions on medical imaging 32 (1), 28-44, 2012 | 105 | 2012 |
| 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 | 97 | 2017 |
| FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging K Lekadir, R Osuala, C Gallin, N Lazrak, K Kushibar, G Tsakou, S Aussó, ... arXiv preprint arXiv:2109.09658, 2021 | 94 | 2021 |
| Cardiac magnetic resonance radiomics: basic principles and clinical perspectives Z Raisi-Estabragh, C Izquierdo, VM Campello, C Martin-Isla, A Jaggi, ... European Heart Journal-Cardiovascular Imaging 21 (4), 349-356, 2020 | 93 | 2020 |
| Outlier detection and handling for robust 3-D active shape models search K Lekadir, R Merrifield, GZ Yang IEEE Transactions on Medical Imaging 26 (2), 212-222, 2007 | 88 | 2007 |
| Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes S Marchesseau, H Delingette, M Sermesant, R Cabrera-Lozoya, ... Medical image analysis 17 (7), 816-829, 2013 | 87 | 2013 |
| 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), 3551, 2022 | 79 | 2022 |
| Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... Medical Image Analysis 81, 102528, 2022 | 78 | 2022 |
| Statistical interspace models (SIMs): application to robust 3D spine segmentation I Castro-Mateos, JM Pozo, M Pereañez, K Lekadir, A Lazary, AF Frangi IEEE transactions on medical imaging 34 (8), 1663-1675, 2015 | 75 | 2015 |
| Automatic initialization and quality control of large-scale cardiac MRI segmentations X Alba, K Lekadir, M Pereanez, P Medrano-Gracia, AA Young, AF Frangi Medical image analysis 43, 129-141, 2018 | 74 | 2018 |
| A perspective on explainable artificial intelligence methods: SHAP and LIME AM Salih, Z Raisi‐Estabragh, IB Galazzo, P Radeva, SE Petersen, ... Advanced Intelligent Systems 7 (1), 2400304, 2025 | 72* | 2025 |
| Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts K Lekadir, G Quaglio, AT Garmendia, C Gallin European Parliament, 2022 | 69* | 2022 |
| Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ... Medical Image Analysis 84, 102704, 2023 | 68* | 2023 |
| To do no harm—and the most good—with AI in health care CB Goldberg, L Adams, D Blumenthal, PF Brennan, N Brown, AJ Butte, ... NEJM AI 1 (3), AIp2400036, 2024 | 61 | 2024 |
Steffen E PetersenQueen Mary University of LondonVerified email at qmul.ac.uk
