Explore projects

Computational modelling course taught as part of the WIN graduate programme.

Triplanar U-Net ensemble network (TrUE-Net) model for WMH segmentation

Analysis pipeline used in the ‘Capturing MultiORgan Effects of COVID-19’ (C-MORE) study.

Code for inferring PRObabilistic FUnctional MOdes. See DOI: 10.1016/j.neuroimage.2015.01.013 and DOI: 10.1016/j.neuroimage.2020.117226.

The FSL Python library.

The FSL Python Library

A repo of folders containing Vagrant files that define useful Virtualbox recipes

An cut-down version of the FSL FEAT GUI for educational purposes

Implementation of Bayesian EstimatioN of CHange

Talks and Jupyter notebook-based practicals for the 2018 WIN PyTreat

UK Biobank imaging pipeline adaptations for use in a real-world memory clinic sample at the Oxford Brain Health Clinic

Python-based asymmetric fibre orientation distributions (aFODs) estimation library

Pipeline for brain imaging processing of UK Biobank.

Pipeline developed by Fidel Alfaro Almagro, Steve Smith and Mark Jenkinson.

Contributions by FMRIB Analysis Group, University of Oxford.

FSL MELODIC results viewer. Specifically intended for use with training the FIX tool.

FSLeyes, the FSL image viewer.

Code for "Harmonising large-scale imaging databases to provide integrated assessments of the role of white matter hyperintensities in cognitive aging." Discovery Award Project

WIN Information Retrieval Engine

Download open access data sets from popular online repos. Part of WIN's open science initiative.

BRC-EM Transparent and Reproducible fMRI Analysis guide. Code and tutorials for analysis of a typical functional magnetic resonance imaging (fMRI) task data set collected as part of a study adopted by the University of Oxford Health Biomedical Research Centre (BRC) Experimental Medicine theme (BRC-EM).