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)

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. - Kaisar Kushibar; Víctor M. Campello; Lidia Garrucho; Akis Linardos; Petia Radeva; Karim Lekadir (MICCAI (8), 2022)

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. - Lidia Garrucho; Kaisar Kushibar; Socayna Jouide; Oliver Díaz; Laura Igual; Karim Lekadir (Artif. Intell. Medicine, 2022)

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. - Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Díaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir (CoRR, 2022)

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)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Karim Lekadir (CoRR, 2023)

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)

Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. - Lidia Garrucho; Eve Delegue; Richard Osuala; Dimitri A. Kessler; Kaisar Kushibar; Oliver Díaz; Karim Lekadir; Laura Igual (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)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; Karim Lekadir (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)

Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned. - Jorge Fabila; Lidia Garrucho; Víctor M. Campello; Carlos Martín-Isla; Karim Lekadir (CoRR, 2025)

Single Image Test-Time Adaptation via Multi-View Co-Training. - Smriti Joshi; Richard Osuala; Lidia Garrucho; Kaisar Kushibar; Dimitri A. Kessler; Oliver Díaz; Karim Lekadir (CoRR, 2025)