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Karim Lekadir
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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
26572018
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
5562021
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
5442025
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 (2), 155-195, 2016
3672016
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ...
bmj 388, 2025
3332025
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
2522016
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
2472020
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
1902021
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
1432021
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
1282022
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
1272024
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
1202020
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
1132022
Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts
K Lekadir, G Quaglio, AT Garmendia, C Gallin
European Parliament, 2022
113*2022
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
1122012
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
110*2023
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
A Cascarano, J Mur-Petit, J Hernandez-Gonzalez, M Camacho, ...
Artificial Intelligence Review 56 (Suppl 2), 1711-1771, 2023
1062023
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
1062017
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
962023
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
912013
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