Hetnet prediction of candidate remyelinating compounds
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Updated
Mar 31, 2016 - Jupyter Notebook
Hetnet prediction of candidate remyelinating compounds
Human disease network based on GWAS loci
Multiple Sclerosis EDSS score detection using Deep Learning
OG 2019 - Project 01: Virtual reality to improve brain lesions drawing
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
Analysis of MS lesions locations and their relation to the developing disability
📁 Investigation into the impact Covid-19 has had on treatment for Multiple Sclerosis (MS) patients
Supplementary materials for the paper
Grade: 86%. COMP2003 Coursework by Team X. An app that allows sufferers of Multiple Sclerosis to record their daily falls, and answer questions posed by researchers.
Notebook repository for multiple_sclerosis_proj
This repository contains AWS module for MS project in OpenKBC
Data analysis platform/structure, machine learning/AI project for multiple sclerosis
Segmentation of Multiple Sclerosis lesions with two approaches - transfer learning with weights pre-trained with segmentation on ImageNet dataset and transfer learning with weights from self-supervisied GAN training.
The supplemental material for the journal article: Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
Analysis of functional connectivity and fatigue and sleep quality in multiple sclerosis (MS), described in Ruiz-Rizzo et al. (2022), European Journal of Neurology
This library contains several utilities and scores commonly used in multiple sclerosis studies.
Statistical classifier for immune repertoires
This repository adds additional functionality to the ivadomed repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.
An open source list for MS Imaging & AI tools and resources
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