medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. - Richard Osuala; Grzegorz Skorupko; Noussair Lazrak; Lidia Garrucho; Eloy García 001; Smriti Joshi; Socayna Jouide; Michael W. Rutherford; Fred W. Prior; Kaisar Kushibar; Oliver Díaz; Karim Lekadir (CoRR, 2022)

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. - Richard Osuala; Daniel Lang 003; Anneliese Riess; Georgios Kaissis; Zuzanna Szafranowska; Grzegorz Skorupko; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (Deep-Breath@MICCAI, 2024)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 2024)

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. - Grzegorz Skorupko; Richard Osuala; Zuzanna Szafranowska; Kaisar Kushibar; Nay Aung; Steffen E. Petersen; Karim Lekadir; Polyxeni Gkontra (CoRR, 2024)

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation. - Grzegorz Skorupko; Fotios Avgoustidis; Carlos Martín-Isla; Lidia Garrucho; Dimitri A. Kessler; Esmeralda Ruiz Pujadas; Oliver Díaz; Maciej Bobowicz; Katarzyna Gwozdziewicz; Xavier Bargalló; Paulius Jarusevicius; Kaisar Kushibar; et al. (CoRR, 2025)