| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
Richard OsualaUniversity of BarcelonaVerified email at ub.edu
