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DCP reveals a continuous and clinically relevant measure of Alzheimer's progression that outperforms traditional diagnostic methods.
A modular deep learning framework that enhances neuroimaging task performance by leveraging optimal task sequences from over 49,000 MRIs.
MT-GNN achieves a groundbreaking 2.29% improvement in predicting brain morphology, setting a new standard for accuracy in clinical imaging.
