13 citations · 28 across the 11 of their papers we have counts for
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cs.CV2025
MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
Marco Colussi, Dragan Ahmetovic, Sergio Mascetti
This paper presents MIAS-SAM, a novel approach for the segmentation of anomalous regions in medical images. MIAS-SAM uses a patch-based memory bank to store relevant image features…
cs.CV2024
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
Marco Colussi, Sergio Mascetti, Jose Dolz +1
The remarkable progress in deep learning (DL) showcases outstanding results in various computer vision tasks. However, adaptation to real-time variations in data distributions rema…