A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (CoRR, 2021)

Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. - Zuzanna Szafranowska; Richard Osuala; Bennet Breier; Kaisar Kushibar; Karim Lekadir; Oliver Díaz (CoRR, 2022)

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (Medical Image Anal., 2023)

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)

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)