Author

Xuegang Song

3 papers indexed here

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Aug 2026

SF-DisenNet: Self-Supervised Function-Guided Disentanglement for Fine-Tuning-Free Brain Representation.

Neuroimaging AI remains constrained by a model-per-disease paradigm-where separate frameworks are trained for individual disorders-limiting knowledge transfer and direct cross-disorder comparisons. While resting-state fMRI provides a powerful subject-specific functional connectivity (FC) fingerprint, it suffers from lo...

Kai-Xiang Shu, Rongling Zhang, Jiaqiang Li et al. · IEEE Transactions on Medical... · 0 citations

Aug 2026

From voxel discovery to regional interaction: A multi-level interpretable framework for Alzheimer's disease diagnosis

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder where early diagnosis serves as the only viable window for effective intervention. While Structural MRI (sMRI) is a primary clinical tool for this purpose, manual diagnosis is heavily constrained by clinician expertise and the difficulty of visually...

Kai-Xiang Shu, Jiaqiang Li, Rongling Zhang et al. · Medical Image Anal. · 0 citations

Open access Aug 2026

Brain network biomarkers for diagnosis and clinical stratification in multiple sclerosis: a longitudinal study integrating individualised structural covariance MRI with high-density EEG

Summary Background Multiple sclerosis (MS) is increasingly recognised as a disorder of large-scale brain network reorganisation rather than a disease explained solely by focal demyelinating lesions. However, the relevance of structural network abnormalities to clinical heterogeneity and progression remains unclear. Met...

Rui Gao, Xuegang Song, Hanyue Zheng et al. · EBioMedicine · 0 citations