Francesco Di Feola

Full profile and recent publications of Francesco Di Feola.

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.

Generative Models Medical Imaging Multimodal Learning Test-Time-Adaptation Trustworthy AI

Recent Publications

  1. XGeM: A multi-prompt foundation model for multimodal medical data generation
    2026
  2. Virtual Treatment for radiotherapy: Multimodal generative prediction of longitudinal NSCLC tumor progression
    2026
  3. Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET
    arXiv preprint arXiv:2605.02746, 2026
  4. Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
    arXiv preprint arXiv:2603.06147, 2026
  5. Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
    arXiv preprint arXiv:2605.13686, 2026
  6. Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
    2025
  7. Texture-Aware StarGAN for CT data harmonization
    2025
  8. Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
    arXiv preprint arXiv:2508.00766, 2025
  9. Multi-scale texture loss for CT denoising with GANs
    2025
  10. Medicine Without Boundaries: Generative AI for Translating Medical Data Across Modalities
    2025