| 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 | 333 | 2025 |
| 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 |
| A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines H Kondylakis, R Osuala, X Puig-Bosch, N Lazrak, O Diaz, K Kushibar, ... IEEE Journal of Biomedical and Health Informatics, 2025 | 150* | 2025 |
| 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 | 118* | 2023 |
| 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 |
| Revisiting skin tone fairness in dermatological lesion classification T Kalb, K Kushibar, C Cintas, K Lekadir, O Diaz, R Osuala Workshop on Clinical Image-Based Procedures, 246-255, 2023 | 20 | 2023 |
| 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 |
| Visualization of patient specific disease risk prediction R Osuala, O Arandjelović 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 17 | 2017 |
| 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 |
| Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification Z Szafranowska, R Osuala, B Breier, K Kushibar, K Lekadir, O Diaz 16th International Workshop on Breast Imaging (IWBI2022) 12286, 169-177, 2022 | 16 | 2022 |
| On differentially private 3d medical image synthesis with controllable latent diffusion models D Daum, R Osuala, A Riess, G Kaissis, JA Schnabel, M Di Folco MICCAI Workshop on Deep Generative Models, 139-149, 2024 | 15 | 2024 |
| Semantic text comparison using artificial intelligence identified source document topics RO Osuala, CM Lohse, BJ Schaper, M Streile, CE Beller US Patent 11,669,686, 2023 | 9 | 2023 |
| Bringing modern machine learning into clinical practice through the use of intuitive visualization and human–computer interaction R Osuala, J Li, O Arandjelovic Augmented Human Research 4 (1), 3, 2019 | 7 | 2019 |
| 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 |
| Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models G Skorupko, R Osuala, Z Szafranowska, K Kushibar, VN Dang, N Aung, ... MICCAI Workshop on Fairness of AI in Medical Imaging, 63-73, 2025 | 6* | 2025 |
| Fréchet 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 | 6* | 2024 |
| Enhancing the utility of privacy-preserving cancer classification using synthetic data R Osuala, DM Lang, A Riess, G Kaissis, Z Szafranowska, G Skorupko, ... Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment …, 2024 | 6 | 2024 |
| Progressive growing of patch size: Resource-efficient curriculum learning for dense prediction tasks SM Fischer, L Felsner, R Osuala, J Kiechle, DM Lang, JC Peeken, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 6 | 2024 |
Karim LekadirICREA Research Professor, Universitat de BarcelonaVerified email at ub.edu
![Georgios (Georg[e]) Kaissis](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=g-WdmSgAAAAJ&citpid=4)
