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Sep 2026

A dual-branch time–frequency fusion network for EEG-based classification of Alzheimer's disease and frontotemporal dementia

The proposed DBTF-Net leverages temporal and time-frequency information in EEG signals and provides classification of AD and FTD, and visualization analysis indicates that the model attends to disease-relevant discriminative patterns in time-frequency representations, enhancing the interpretability of its classificatio...

Xiao-Li Yang, Xiao Li, Chen-Chen Wang et al. · 0 citations
Open access Aug 2026

Bidirectional cross-modal attention with adaptive gating for multimodal Alzheimer’s disease classification

Alzheimer’s disease (AD) is a neurodegenerative disorder, and mild cognitive impairment (MCI) represents a transitional stage between AD and cognitively normal (CN) individuals. Early diagnosis is clinically important for delaying disease progression. To address the limitations of single-modal approaches and the insuff...

Xiao-Li Yang, Chen-Chen Wang, Xiao Li et al. · 0 citations

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