| 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 | 190 | 2021 |
| 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 |
| Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study L Garrucho, K Kushibar, S Jouide, O Diaz, L Igual, K Lekadir Artificial Intelligence in Medicine 132, 102386, 2022 | 64 | 2022 |
| A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations L Garrucho, K Kushibar, CA Reidel, S Joshi, R Osuala, A Tsirikoglou, ... Scientific data 12 (1), 453, 2025 | 55* | 2025 |
| medigan: a Python library of pretrained generative models for medical image synthesis R Osuala, G Skorupko, N Lazrak, L Garrucho, E García, S Joshi, S Jouide, ... Journal of Medical Imaging 10 (6), 061403-061403, 2023 | 52* | 2023 |
| High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection L Garrucho, K Kushibar, R Osuala, O Diaz, A Catanese, J Del Riego, ... Frontiers in oncology 12, 1044496, 2023 | 39 | 2023 |
| Layer ensembles: A single-pass uncertainty estimation in deep learning for segmentation K Kushibar, V Campello, L Garrucho, A Linardos, P Radeva, K Lekadir International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
| Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, O Diaz, ... Medical Imaging 2024: Image Processing 12926, 226-237, 2024 | 19 | 2024 |
| Towards learning contrast kinetics with multi-condition latent diffusion models R Osuala, DM Lang, P Verma, S Joshi, A Tsirikoglou, G Skorupko, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 16 | 2024 |
| A review of generative adversarial networks in cancer imaging: new applications R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ... New Solutions. arXiv 2107, 2021 | 11 | 2021 |
| Advances in the MIR instrument: Integration, control subsystem and analysis of the flight dynamics for beamsteering purposes R Onrubia, L Garrucho, D Pascual, H Park, J Querol, A Alonso-Arroyo, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 7 | 2015 |
| Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, DM Lang, ... Journal of Medical Imaging 12 (S2), S22014-S22014, 2025 | 6 | 2025 |
| Federated learning in low-resource settings: A chest imaging study in Africa--Challenges and lessons learned J Fabila, L Garrucho, VM Campello, C Martín-Isla, K Lekadir arXiv preprint arXiv:2505.14217, 2025 | 4 | 2025 |
| Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis S Joshi, R Osuala, L Garrucho, A Tsirikoglou, J del Riego, ... Medical Imaging 2024: Image Processing 12926, 292-300, 2024 | 4 | 2024 |
| Fréchet radiomic distance (frd): a versatile metric for comparing medical imaging datasets (2025) N Konz, R Osuala, P Verma, Y Chen, H Gu, H Dong, Y Chen, A Marshall, ... | 4 | |
| Federated nnU-Net for privacy-preserving medical image segmentation G Skorupko, F Avgoustidis, C Martín-Isla, L Garrucho, DA Kessler, ... Scientific Reports 15 (1), 38312, 2025 | 1 | 2025 |
| Fr\'echet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets N Konz, R Osuala, P Verma, Y Chen, H Gu, H Dong, Y Chen, A Marshall, ... arXiv preprint arXiv:2412.01496, 2024 | 1 | 2024 |
| Fat-suppressed breast MRI synthesis for domain adaptation in tumour segmentation L Garrucho, E Delegue, R Osuala, D Kessler, K Kushibar, O Díaz, ... Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment …, 2024 | 1 | 2024 |
| Single Image Test-Time Adaptation via Multi-View Co-Training S Joshi, R Osuala, L Garrucho, K Kushibar, D Kessler, O Diaz, K Lekadir International Conference on Medical Image Computing and Computer-Assisted …, 2025 | | 2025 |
| Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification S Joshi, L Garrucho, R Osuala, O Diaz, K Lekadir arXiv preprint arXiv:2508.20621, 2025 | | 2025 |
Karim LekadirICREA Research Professor, Universitat de BarcelonaVerified email at ub.edu
