Francesco Di Feola
Full profile and recent publications of Francesco Di Feola.
PhD
Francesco Di Feola
PhD Candidate @ Umeå University
Francesco Di Feola is a PhD student at the Department of Diagnostics and Intervention at Umeå University, Sweden. He received his M.Sc. degree in Biomedical Engineering, summa cum laude with honorable mention, from Università Campus Bio-Medico di Roma. His research focuses on generative artificial intelligence for medical imaging, with particular attention to medical image synthesis, cross-modality translation, and multimodal data generation. His work spans methodological research and clinical applications, including image quality enhancement, test-time adaptation, uncertainty quantification, and image integrity. A central theme of his research is the development of methodologies for the reliable use of synthetic medical data.
Recent Publications
- XGeM: A multi-prompt foundation model for multimodal medical data generation2026
- Virtual Treatment for radiotherapy: Multimodal generative prediction of longitudinal NSCLC tumor progression2026
- Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PETarXiv preprint arXiv:2605.02746, 2026
- Longitudinal NSCLC Treatment Progression via Multimodal Generative ModelsarXiv preprint arXiv:2603.06147, 2026
- Cross Modality Image Translation In Medical Imaging Using Generative FrameworksarXiv preprint arXiv:2605.13686, 2026
- Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin2025
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- Sample-Aware Test-Time Adaptation for Medical Image-to-Image TranslationarXiv preprint arXiv:2508.00766, 2025
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- Medicine Without Boundaries: Generative AI for Translating Medical Data Across Modalities2025