Author

Asaduzzaman Khan

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#artificial intelligence Preprint Sep 2026

Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence

Mapping resting-state brain organization to individual differences in cognitive ability remains a major challenge in population neuroinformatics. Although deep learning enables flexible modeling of brain connectivity, limited interpretability restricts its scientific and clinical utility. To address this objective, we...

Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

MAC-Net: A Multi-Task Deep Learning Framework for Modeling Cognitive Function From Task-Based fMRI

Objective cognitive assessment from neural signals supports neurorehabilitation, but individual-level prediction from task-based fMRI (tfMRI) remains difficult because neural features coexist with substantial demographic and scanner-related variation. We present the Multi-task Activation and Contrast Network (MAC-Net),...

Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan et al. · 0 citations