30 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 5 cited
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.AI2022★ 30 cited
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…