3 papers
cs.AI2026
MAC-Net: A Multi-Task Deep Learning Framework for Modeling Cognitive Function From Task-Based fMRI
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Objective cognitive assessment from neural signals supports neurorehabilitation, but individual-level prediction from task-based fMRI (tfMRI) remains difficult because neural featu…
cs.AI2026
Temporal Graph Learning of Wearable Actigraphy and Sleep Traces for Modelling Adolescent Crystallized Intelligence
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Wearable actigraphy offers a scalable, ecologically valid alternative to episodic clinical assessment. However, predicting continuous adolescent crystallized intelligence () f…
q-bio.NC2026
Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence
Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1
Mapping resting-state brain organization to individual differences in cognitive ability remains a major challenge in population neuroinformatics. Although deep learning enables fle…