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cs.CV2026
QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
Luca Zedda, Davide Antonio Mura, Cecilia Di Ruberto +4
Attention-based Multiple Instance Learning aggregators in medical imaging are prone to attention concentration, producing overconfident and unstable predictions. We introduce QG-MI…
cs.CV2026
OmniRad: A Radiological Foundation Model for Multi-Task Medical Image Analysis
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
Radiological analysis increasingly benefits from pretrained visual representations that can support heterogeneous downstream tasks across imaging modalities. In this work, we intro…