Explore projects

FSLeyes, the FSL image viewer.

The FSL Evaluation and Example Data Suite (FEEDS), now in Python!

Talks, practicals, and other materials for the 2020 WIN PyTreat

The FSL Python Library

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

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

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

FSL Tools for MR Spectroscopy - Fitting/Plotting/Simulations/etc.

This project will aim to address one of the big challenges in imaging-neuroscience: that of how a brain’s functional connectivity, represented by resting-state maps, can be predicted from structural connectivity information obtained from dw-MRI.

Exploring machine learning methods, with special focus on the deep learning methods in order to attempt Neuroimage segmentation and analysis

CLI to download entire projects from openneuro.org

FSL documentation

The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit

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

Pipeline for unbiased multimodal template construction from T1, T2 and DTI images.