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)

Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models. - Jakub Buler; Rafal Buler; Maciej Bobowicz; Maria Ferlin; Marlena Rygusik; Arkadiusz Kwasigroch; Michal Grochowski (MMAR, 2023)

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)

Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images. - Maciej Bobowicz; Mikolaj Badocha; Katarzyna Gwozdziewicz; Marlena Rygusik; Paulina Kalinowska; Edyta Szurowska; Tomasz Dziubich (Int. J. Medical Informatics, 2024)

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. - Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias (J. Imaging, 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)