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Author

Nabil Anan Orka

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#artificial intelligence Preprint Sep 2026

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

An explainable deep learning framework based on sparse projected residual networks to predict fluid, crystallized, and total intelligence from resting-state functional magnetic resonance imaging in 5,285 participants from the Adolescent Brain Cognitive Development study suggests that intelligence emerges from the inter...

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

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