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

X-species automated tractography tool - development is now at https://github.com/SPMIC-UoN/xtract

FileTrees provide a way to define the content of a structured directory. This can be very handy when defining input/output files for a pipeline.

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

Python implementation of FSL's FIX tool for denoising

CLI to download entire projects from openneuro.org

FSL documentation