46 citations · 83 across the 11 of their papers we have counts for
4 papers · 1 filter
SHOVIR: A Benchmark for Evaluating Vision Shortcut Learning in Radiology Report Generation
Filippo Ruffini, Marco Salmé, Rosa Sicilia +2
Current evaluation protocols for Vision-Language Models (VLMs) in Radiology Report Generation (RRG) rely on report-level metrics that measure lexical overlap or aggregate clinical…
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…
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages
Marco Salmè, Rosa Sicilia, Paolo Soda +1
The integration of artificial intelligence in healthcare has opened new horizons for improving medical diagnostics and patient care. However, challenges persist in developing syste…
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection
Arianna Francesconi, Lazzaro di Biase, Donato Cappetta +4
Alzheimer's disease (AD) poses significant global health challenges due to its increasing prevalence and associated societal costs. Early detection and diagnosis of AD are critical…