Spinal cord gray matter segmentation using deep dilated convolutions.

This MATLAB code allows to semi-automatically classify spontaneous firing neurones according to regularity, grouping of spikes in bursts and firing frequency inter- and intra-burst

Folder containing all implemented or developed quantitative spinal cord imaging pipelines and data analyses

Image analysis pipeline for neonatal Spinal Cord MRI data from University of Genoa in collaboration with Gaslini Children's Hospital.

A deep learning model that allows robust SC/GM multi-class segmentation based on ultra-high resolution 7T T2*-w MR images

This repository adds additional functionality to the ivadomed repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

The memristive schematic implementation for spinal cord segment

Improved version of the MATLAB software for spontaneous firing pattern classification according to regularity, grouping of spikes in bursts and inter- and intra-burst firing frequency .

White and grey matter segmentation on T1-weighted exvivo mouse spinal cord

the bypass project repository

Codes for integrating spatial transcriptomics and single-nucleus RNA-Sequencing uncovering neuropathic pain-associated molecular pathological characteristics in the mouse spinal cord.

Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.

Web site of spinalcordmri organization.