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Yuan-Yuan Wang

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Open access Oct 2026

Intrinsic dimension for evaluating and analyzing neural networks for medical image segmentation.

BACKGROUND AND OBJECTIVE Evaluating medical image segmentation models typically relies on expert annotations, which are scarce, costly, and time-consuming to obtain. Intrinsic dimension (ID), defined as the minimal number of parameters required to describe high-dimensional data, has been shown to correlate with model g...

Wu-Tong Li, Zeju Li, Jie Xu et al. · Computer Methods and Program... · 0 citations

Preprint Aug 2026

CARD: Calibration via Agreement in Reverse Diffusion for Out-of-Domain MRI Segmentation

Across cardiac, prostate and brain MRI shifts, CARD lowers calibration error in 45 of 49 comparisons against the strongest baseline in each setting, and maps the temporal aggregate of this disagreement to a temperature field applied per pixel across all classes, so that confidence changes while the segmentation does no...

Jiateng Dai, Wei Guo, Qing-Biao Li et al. · 0 citations