Explore projects

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

The FSL Python Library

FSLeyes, the FSL image viewer.

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

The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit

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

FIX - FMRIB's ICA-based Xnoiseifier Gholamreza Salimi-Khorshidi and Stephen Smith, FMRIB Analysis Group MATLAB compilation/wrapper Duncan Mortimer Copyright (C) 2012-2019 University of Oxford

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

The WIN open science tool to package up, and share data and analyses

CLI to download entire projects from openneuro.org

Tensor Image Registration Library - a modular general-purpose image registration framework for Python with prebaked scripts for histology-to-MRI registration.

WMH and lesion segmentation tool

Code for the generation, processing, and analysis of imaging confounds in UKB Biobank.

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.

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.

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.