Paolo Soda
Full profile and recent publications of Paolo Soda.
Principal Investigator
Paolo Soda
Full Professor @ Università Campus Bio-Medico di Roma
Paolo Soda is a Full Professor at Università Campus Bio-Medico di Roma. His research focuses on artificial intelligence, machine learning, data mining, and the analysis of biomedical data, with particular attention to 2D and 3D medical images and videos. His work spans methodological research and clinical applications, including medical image analysis, decision-support systems, and the integration of heterogeneous healthcare data.
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
- SPARSE data, rich results: Few-shot semi-supervised learning via class-conditioned image translation2026
- SHOVIR: A Benchmark for Evaluating Vision Shortcut Learning in Radiology Report GenerationarXiv preprint arXiv:2606.30201, 2026
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- Retrieval-Augmented Anatomical Guidance for Text-to-CT GenerationarXiv preprint arXiv:2603.08305, 2026
- Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather CovariatesarXiv preprint arXiv:2602.17683, 2026
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