Novel patch atlas selection frameworks predict and classify brain image evolution trajectories from baseline MRI, improving eMCI classification accuracy by up to 10%.
Multi-view brain network prediction from a source view using sample selection via cca-based multi-kernel con- nectomic manifold learning
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Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis
Novel patch atlas selection frameworks predict and classify brain image evolution trajectories from baseline MRI, improving eMCI classification accuracy by up to 10%.