Valerio Guarrasi
Full profile and recent publications of Valerio Guarrasi.
Senior Staff
Valerio Guarrasi
Associate Professor @ UniCamillus - Saint Camillus International University of Health Sciences
Valerio Guarrasi is an Associate Professor at Saint Camillus International University of Health and Medical Sciences (UniCamillus). Previously, he served as an Assistant Professor at Università Campus Bio-Medico di Roma. He earned a PhD in Data Science from Sapienza University of Rome, following a Master’s Degree in Data Science and a Bachelor’s Degree in Management Engineering. His research focuses on multimodal deep learning and generative artificial intelligence (AI), with a strong emphasis on developing innovative methodologies for biomedical applications. He is particularly interested in how AI can enhance healthcare by improving diagnostics and patient outcomes. Dr. Guarrasi has contributed to several high-impact projects at the intersection of AI and medicine, covering topics such as AI-driven medical imaging, synthetic data generation, and multimodal fusion strategies. He has participated in numerous national and international projects in the field of AI for health, collaborating with clinical centers, universities, and technology companies. His results have been published in international scientific journals and recognized in globally significant competitions. He was selected by the IEEE Computer Society as one of “Computing’s Top 30 Early Career Professionals.”
Recent Publications
- [18F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study2026
- 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
- SHOVIR: A Benchmark for Evaluating Vision Shortcut Learning in Radiology Report GenerationarXiv preprint arXiv:2606.30201, 2026
- Retrieval-Augmented Anatomical Guidance for Text-to-CT GenerationarXiv preprint arXiv:2603.08305, 2026
- Not another imputation method: A transformer-based model for missing values in tabular datasets2026
- Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast CancerarXiv preprint arXiv:2605.07561, 2026
- Machine Learning Models for Sepsis: From Early Detection to Short- and Long-Term Prognosis2026
- Longitudinal NSCLC Treatment Progression via Multimodal Generative ModelsarXiv preprint arXiv:2603.06147, 2026