Georgios Antonopoulos

The paper predicts brain volumes from anthropometric and demographic features using UK Biobank data, finding strong sex-based predictions for TIV and age-based predictions for other volumes.

This study systematically compares five VBM pipelines for age prediction using three large datasets, finding significant differences in their ability to quantify GMV and predict age.

This paper compares 128 machine learning workflows for brain-age prediction using neuroimaging data, finding that feature representation and algorithm choice affect performance, and that brain-age delta correlates differently within-site and cross-site.