Daniele Molino
Full profile and recent publications of Daniele Molino.
PhD
Daniele Molino
PhD Candidate @ Università Campus Bio-Medico di Roma
Daniele Molino is a PhD student in the Italian National PhD Program in Artificial Intelligence, Health and Life Sciences track, at Università Campus Bio-Medico di Roma. His research focuses on multimodal generative artificial intelligence for medical applications, with particular attention to vision-language models, latent diffusion models, and synthetic medical data generation. His work investigates the joint generation and integration of heterogeneous clinical modalities, including radiological images, volumetric CT scans, and medical reports, aiming to improve data availability, clinical consistency, and downstream diagnostic performance.
Recent Publications
- XGeM: A multi-prompt foundation model for multimodal medical data generation2026
- 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
- Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language PretrainingarXiv preprint arXiv:2506.00633, 2025
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- Medicine Without Boundaries: Generative AI for Translating Medical Data Across Modalities2025
- Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation2025