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Author

Zong-Wei Zhou

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Preprint Oct 2026

DART: Scaling a Shape Representation Across Anatomical Classes and Imaging Modalities

Current state-of-the-art segmentation models still produce anatomically implausible shapes, such as broken vessels and fragmented glands, on the structures that are hardest to segment. Learned shape representations capture what structures look like and can help correct these errors, but most cover a fixed set of anatom...

Koushik Swarna, P. Bassi, L. Ngo et al. · 0 citations
Jul 2026

Taking a Deep Look at Multi-Rater Agreement for Calibrated Medical Image Segmentation

In medical image analysis, it is common to collect multiple annotations from different clinical experts or raters to mitigate potential diagnostic inaccuracies. However, in computer vision research, it has been conventional to adopt ground-truth labels generated either by majority voting or by selecting a single rater’...

Jing-Jing Li, Hui-Dong Xie, Wei Ji et al. · 1 citation

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