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University of Salento
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TMF-RSE achieves unprecedented accuracy in lung severity scoring while quantifying uncertainty, setting a new benchmark for clinical imaging applications.
Achieve state-of-the-art medical image segmentation with a model that's both accurate and lean, needing just 10 GFLOPs and a few inference steps.
Forget fragile fusion schemes: a new cross-modal mapping and dual-branch reconstruction approach achieves state-of-the-art anomaly detection in industrial settings, even with noisy or missing depth data.
