Author

M. Mahadevappa

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Jul 2026

An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fMRI

An attention-based deep learning framework for Alzheimers disease classification that operates directly on rs-fMRI functional connectivity matrices by treating brain regions as tokens and employing a Transformer-inspired self-attention mechanism to model long-range and global functional dependencies across distributed...

Harsh Pathak, N. GowthamReddy, Mrinal Acharya et al. · arXiv.org · 0 citations

Open access 2026

Detection of ASD Using DySTEP-GAT Architecture With EEG-Based Attention-Fused Brain-Net Graph Representation

Findings indicate that the learned brain network representations capture distinct and quantifiable abnormalities in ASD-related neural dynamics, establishing the proposed framework as a robust, interpretable, and measurement-aligned tool for objective ASD assessment.

Madhuparna Das, Poulomi Pal, M. Mahadevappa · IEEE Transactions on Instrum... · 0 citations