Learning beyond Site Bias for OOD Generalization in Brain Networks
CORE is a framework for brain network analysis that generalizes to new sites by tackling site-specific biases and dynamic connectivity. It combines removing site confounders, profiling transient pathway changes, and using population knowledge to adapt predictions for individual subjects. This approach outperforms existing methods in unseen data settings.