A federated framework that decomposes multi-site brain dynamic connectivity into disease, phenotype, and scanner parts and aligns site prototypes to improve ASD and ADHD classification.
Adhd-200 global compe- tition: diagnosing adhd using personal characteristic data can outperform resting state fmri measurements.Frontiers in systems neuroscience, 6:69, 2012
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FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity
A federated framework that decomposes multi-site brain dynamic connectivity into disease, phenotype, and scanner parts and aligns site prototypes to improve ASD and ADHD classification.