Spinal cord gray matter segmentation using deep dilated convolutions.
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Updated
Feb 13, 2018 - Jupyter Notebook
Spinal cord gray matter segmentation using deep dilated convolutions.
The memristive schematic implementation for spinal cord segment
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
the bypass project repository
A deep learning model that allows robust SC/GM multi-class segmentation based on ultra-high resolution 7T T2*-w MR images
White and grey matter segmentation on T1-weighted exvivo mouse spinal cord
Image analysis pipeline for neonatal Spinal Cord MRI data from University of Genoa in collaboration with Gaslini Children's Hospital.
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 .
Folder containing all implemented or developed quantitative spinal cord imaging pipelines and data analyses
Codes for integrating spatial transcriptomics and single-nucleus RNA-Sequencing uncovering neuropathic pain-associated molecular pathological characteristics in the mouse spinal cord.
This repository adds additional functionality to the ivadomed repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.
Web site of spinalcordmri organization.
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