Yazhou Zhu — accepted AI-conference papers

2026

Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting

Yuntian Bo, Yazhou Zhu, Piotr Koniusz, Haofeng Zhang

CVPR 2026

Conventional few-shot medical image segmentation (FSMIS) approaches face performance bottlenecks that hinder broader clinical applicability. Although the Segment Anything Model (SAM) exhibits strong category-agnostic segmentation capabilities, its direct application to medical images often leads to

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2025

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

Yuntian Bo, Yazhou Zhu, Lunbo Li, Haofeng Zhang

AAAI 2025technical

Existing few-shot medical image segmentation (FSMIS) models fail to address a practical issue in medical imaging: the domain shift caused by different imaging techniques, which limits the applicability to current FSMIS tasks. To overcome this limitation, we focus on the cross-domain few-shot medical…

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