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Xinglin Xie

1 accepted papers

2026

Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

CVPR 2026

Medical image segmentation supports clinical workflows by precisely delineating anatomical structures and lesions. However, medical image datasets medical image datasets suffer from acquisition noise and annotation ambiguity, causing pervasive data uncertainty that substantially undermines model rob

Cited by 0SourceScholar