Explore projects

FSLeyes, the FSL image viewer.

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

The FSL Python Library

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

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

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

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.

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

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

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

Python implementation of FSL's FIX tool for denoising

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

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

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.

CLI to download entire projects from openneuro.org

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

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