2 papers
cs.AI2025
XGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
Daniele Molino, Francesco Di Feola, Eliodoro Faiella +5
The adoption of Artificial Intelligence in medical imaging holds great promise, yet it remains hindered by challenges such as data scarcity, privacy concerns, and the need for robu…
cs.AI2024
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano +4
We are witnessing a widespread adoption of artificial intelligence in healthcare. However, most of the advancements in deep learning in this area consider only unimodal data, negle…