Machine Learning-Based Evaluation of Multi-Site MRI Quality Metric Harmonization
Multi-site data collection enables the aggregation of large and diverse magnetic resonance imaging (MRI) datasets, which are essential for development of robust machine learning (ML) models in neuroimaging. However, site-related variability introduced by differences in scanner equipment and acquisition protocols (i.e....