Gergely Dávid

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

ACID is an open-source MATLAB toolbox for processing and modeling diffusion MRI data from brain, spinal cord, and ex vivo specimens, incorporating artifact correction, biophysical models, and BIDS compatibility.

This study demonstrates the feasibility of BOLD fMRI in detecting neuronal activation in the lumbosacral cord during lower extremity motor tasks and shows TE-dependent effects on BOLD signal.