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Author

Hongming Li

2 papers indexed here

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Open access Oct 2026

AREION: A Foundation Model for Atlas-Agnostic Representation Learning of Brain Connectome

Brain foundation models have shown promising advances in learning generalizable representations from functional magnetic resonance imaging (fMRI) data. However, existing models are typically tied to specific brain atlases and cannot be applied to fMRI data represented using different atlases without full retraining, th...

Zhao Zhang, Hong-Ming Li, Yuan-Wang Zhang et al. · 0 citations
Jul 2026

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge

OKA-CT is proposed, an organ-hierarchical knowledge-augmented framework for CT-report VLP that achieves zero-shot abnormality diagnosis AUROCs on CT-RATE and RAD-ChestCT datasets and shows improved report-image alignment and stronger sensitivity to disease-associated anatomical regions.

Guo-Liang You, Hong-Ming Li, Yuan-Wang Zhang et al. · 1 citation

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