Author

Yan Tang

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Open access Jul 2026

Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data

This work proposes a cross-attention-guided subject-adaptive graph network (CAS-GNN) model that integrates structural MRI and resting-state functional connectivity data, effectively fusing complementary multimodal information and provides a promising tool for interpretable and robust ASD diagnosis, accelerating biomarker discovery and development.

Yan Tang, Chao Yang, Yihang Xu et al. · Brain Informatics · 0 citations