activity
20232026
most citedThe Power of Noise: Redefining Retrieval for RAG Systems

204 citations · 238 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2026

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation

Marco Salmè, Federico Siciliano, Fabrizio Silvestri +3

Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documentation burden, improve reporting consistency, and accelerate clinical workflows. H…