Author

Zhen-Qiao Liu

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Oct 2026

Multi-Dimensional Feature Adaptive Gating Network for Multi-View and Whole-Brain Magnetic Resonance Imaging-Based Alzheimer's Disease Classification.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with structural brain alterations detectable by structural magnetic resonance imaging (sMRI). Accurate classification of normal control (NC), mild cognitive impairment (MCI), and AD remains challenging because disease-related changes are su...

Yi-Peng Zhou, Lin Zhu, Zhen-Qiao Liu et al. · Journal of Visualized Experi... · 0 citations

Jul 2026

Multi-Scale Structural MRI Features Reveal Task-Based Functional Connectivity and Its Alterations in Psychiatric Disorders: A Collaborative Graph Attention Network Approach

The Collaborative Graph Attention Multi-Task Network (CoGA-MTN), a deep learning framework that integrates multi-scale structural features to jointly predict task-based functional connectivity (FC) and identify potential disease-related network alterations, is introduced.

Qingchuan Zhang, Zhen-Qiao Liu, Wen-Jie Dou et al. · Brain Topography · 0 citations

Open access Jul 2026

TF-JointMAE: a self-supervised multi-representation EEG learning framework for Alzheimer’s disease spectrum classification

A self-supervised masked autoencoder pre-training on multiple public EEG datasets demonstrates that TF-JointMAE effectively improves the robustness of EEG representations, providing potential auxiliary support for AD-spectrum classification and clinical decision-making.

Min Zuo, Hong Zhu, Zhen-Qiao Liu et al. · Cognitive Neurodynamics · 0 citations