Shun Yao

This paper develops a deep learning method to map white matter tracts from CT scans in intracerebral hemorrhage patients, showing high anatomical plausibility and correlation with motor scores.

This paper introduces DeepRGVP, a deep learning framework for automatically identifying the retinogeniculate visual pathway from diffusion MRI tractography data, showing superior performance compared to existing methods.

This study compares four tractography methods for reconstructing the retinogeniculate visual pathway using diffusion MRI data from 57 subjects, finding that UKF-2T and iFOD1 provide the best results.