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 | 34* | 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 | 5 | 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 | 2 | 2024 |
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models G Skorupko, R Osuala, Z Szafranowska, K Kushibar, N Aung, ... arXiv preprint arXiv:2403.19508, 2024 | 1 | 2024 |
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation G Skorupko, F Avgoustidis, C Martín-Isla, L Garrucho, DA Kessler, ... arXiv preprint arXiv:2503.02549, 2025 | | 2025 |