Tianhao Fu

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation

SegWithU is a post-hoc framework that augments a frozen pretrained segmentation backbone with a lightweight uncertainty head and models uncertainty as perturbation energy in a compact probe space using rank-1 posterior probes, suggesting that perturbation-based uncertainty modeling is an effective and practical route to reliability-aware medical segmentation.