Valerio Guarrasi

Injecting retrieved anatomical priors into text-to-CT generation dramatically improves image fidelity and clinical consistency, offering a scalable path to more realistic medical image synthesis.

Radiology report generation can be both more accurate AND more interpretable: CEMRAG uses visual concepts to enhance multimodal RAG, challenging the assumed trade-off between transparency and diagnostic accuracy.