Lekadir, Karim

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P.-A., Cetin, I., Lekadir, K., Camara, O., Gonzalez Ballester, M. A., et al. (2018) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 2,431

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Lekadir, K., Frangi, A. F., Porras, A. R., Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., et al. (2025) · BMJ

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 957

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Salih, A. M., Raisi‐Estabragh, Z., Galazzo, I. B., Radeva, P., Petersen, S. E., Lekadir, K., & Menegaz, G. (2025) · Advanced Intelligent Systems

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 897

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

Lekadir, K., Galimzianova, A., Betriu, A., del Mar Vila, M., Igual, L., Rubin, D. L., Fernandez, E., Radeva, P., & Napel, S. (2017) · IEEE Journal of Biomedical and Health Informatics

Cerebrovascular and Carotid Artery DiseasesMedical Image Segmentation Techniques

Cited by 212

Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease

Linardos, A., Kushibar, K., Walsh, S., Gkontra, P., & Lekadir, K. (2022) · Scientific Reports

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 130

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Suinesiaputra, A., Dhooge, J., Duchateau, N., Ehrhardt, J., Frangi, A. F., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., et al. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 95

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Lekadir, K., Osuala, R., Gallin, C., Lazrak, N., Kushibar, K., Tsakou, G., Aussó, S., Alberich, L. C., Marias, K., Tsiknakis, M., et al. (2021) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 58

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Sendra-Balcells, C., Campello, V. M., Torrents-Barrena, J., Ahmed, Y. A., Elattar, M., Ohene-Botwe, B., Nyangulu, P., Stones, W., Ammar, M., Benamer, L. N., et al. (2023) · Scientific Reports

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 57

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization

Andreasen, L. A., Feragen, A., Christensen, A. N., Thybo, J. K., Svendsen, M. B. S., Zepf, K., Lekadir, K., & Tolsgaard, M. G. (2023) · Scientific Reports

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 28

Minimising multi-centre radiomics variability through image normalisation: a pilot study

Campello, V. M., Martín-Isla, C., Izquierdo, C., Guala, A., Palomares, J. F. R., Viladés, D., Descalzo, M. L., Karakas, M., Çavuş, E., Raisi-Estabragh, Z., et al. (2022) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 24

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline

Mese, I., D’Antonoli, T. A., Bluethgen, C., Bressem, K., Cuocolo, R., Chaudhari, A., Tejani, A. S., Isaac, A., Ponsiglione, A., Meddeb, A., et al. (2026) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 17

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease

Linardos, A., Kushibar, K., Walsh, S., Gkontra, P., & Lekadir, K. (2021) · Research Square

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 9