Statistical classifier for immune repertoires

Artificial Intelligence and Machine Learning to help find scientific research and filter relevant content

A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)

🧠 Statistical Methods Applied to Psychology Projects

The Kurtzke Expanded Disability Status Scale (EDSS) is a method of quantifying disability in multiple sclerosis

Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.

Data analysis platform/structure, machine learning/AI project for multiple sclerosis

3D Slicer extension that provides a toolkit for Multiple Sclerosis lesion simulation in multimodal MRI images, such as T1, T2, T2-FLAIR and DTI scalar maps.

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.

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.

Multiple Sclerosis EDSS score detection using Deep Learning

Gait Calibration System