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Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction
Resting-state functional magnetic resonance imaging (rs-fMRI) functional connectivity (FC) matrices are widely used for individual-level prediction, but strong performance within one cohort may not generalize to a new cohort. We ask whether within-dataset performance remains when the test data come
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