A curriculum-guided unified framework for robust unsupervised domain adaptation on multi-cohort Parkinson’s disease diagnosis
Background Current artificial intelligence (AI) models for Parkinson’s disease (PD) diagnosis via magnetic resonance imaging (MRI) are significantly impeded by domain shift, and performance often decreases due to heterogeneity in imaging protocols and scanners across hospitals. While existing unsupervised domain adapta...