A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
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Updated
Aug 2, 2024 - Jupyter Notebook
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
Statistical classifier for immune repertoires
Artificial Intelligence and Machine Learning to help find scientific research and filter relevant content
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
🧠 Statistical Methods Applied to Psychology Projects
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
The Kurtzke Expanded Disability Status Scale (EDSS) is a method of quantifying disability in multiple sclerosis
Data analysis platform/structure, machine learning/AI project for multiple sclerosis
Human disease network based on GWAS loci
Code for the paper by Falet et al. (2022) "Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning"
Supplementary materials for the paper
Analysis of MS lesions locations and their relation to the developing disability
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.
BoldContacts site implemented as SvelteKit
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.
Hetnet prediction of candidate remyelinating compounds
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