Yuanjing Feng

MaxEnt-DTD estimates diffusion tensor distributions from dMRI data, providing reliable joint fiber-orientation and microstructure analysis.

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.

The paper maps excitatory axonal projections from the macaque ventrolateral prefrontal cortex to the whole brain at submicron resolution, revealing discrepancies with diffusion tractography.

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.

The paper evaluates tractography reproducibility using empirical data from a single healthy volunteer scanned on two scanners, finding high consistency among top algorithms but variability due to tract volume containment.

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.