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Medical Image Analysis|December 6, 2022
Data synthesis and adversarial networks: A review and meta-analysis in cancer imagingRichard Osuala, Kaisar Kushibar, Lidia Garrucho, et al.Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|March 8, 2021
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and toolsOliver Diaz, Kaisar Kushibar, Richard Osuala, et al.Frontiers in Oncology|February 9, 2023
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionLidia Garrucho, Kaisar Kushibar, Richard Osuala, et al.Journal of Medical Imaging (Bellingham, Wash.)|June 30, 2025
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networksRichard Osuala, Smriti Joshi, Apostolia Tsirikoglou, et al.Medical Image Analysis|July 15, 2026
Progressive growing of patch size: Curriculum learning for accelerated and improved medical image segmentationStefan M Fischer, Johannes Kiechle, Laura Daza, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 23, 2023
<i>medigan</i>: a Python library of pretrained generative models for medical image synthesisRichard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.Journal of Imaging|April 25, 2025
Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention NetworksAvtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, et al.Scientific Reports|November 3, 2025
Federated nnU-Net for privacy-preserving medical image segmentationGrzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla, et al.Journal of Medical Internet Research|July 3, 2026
Integrating Participatory Social Innovation Into Requirements Engineering for AI Health Care Solutions: Case StudyCarina Dantas, Miriam Cabrita, Maciej Bobowicz, et al.Medical Image Analysis|January 29, 2026
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasetsNicholas Konz, Richard Osuala, Preeti Verma, et al.Pageof 2