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Author

Jia Wang

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Preprint Aug 2026

H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation

Registration-based Few-shot medical image segmentation (RFMIS) aims to generate pseudo-labels for unlabeled images by warping a labeled image through registration. However, existing methods primarily perform pixel-level optimization and inference in Euclidean space, treating anatomical structures as flat and disjoint....

Jia Wang, Jiamin Cai, Zunying Hu et al. · 0 citations
Open access Jul 2026

Clinical 2D MRI radiomics for infant brain age and trajectory modeling

A data-driven radiomics framework that integrates automatic registration, segmentation, and feature extraction for the analysis of routine T1-weighted and T2-weighted scans from children aged 0–2 years is established, transforming conventional 2D MRI data into a powerful, objective tool for early neurodevelopmental ass...

Huanyu Luo, Huan-Jie Li, Si-Ting Xiong et al. · 1 citation

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