Zvi Baratz

The paper uses a tuned Xception CNN to predict sex, age, and BFI traits from T1-weighted MRI scans, showing potential for transfer learning across domains.

The Labbing Project presents a web application for neuroimaging data aggregation and preprocessing, designed to simplify data management for researchers with limited programming experience.

This study shows that differences in FreeSurfer surface reconstruction configurations significantly affect anatomical feature estimation and prediction performance.

This paper introduces a method to analyze cortical layer composition using low-resolution T1 MRI images, resolving partial volume effects and enabling subvoxel composition estimation.