Explore projects

Multimodal templates constructed by jointly optimising similarity across multiple scalar- and tensor-based modalities using MMORF for nonlinear registrations.

Beta version of MMORF for internal FMRIB release.

Educational material for the WIN Analysis Group

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

Compilation of practicals for thee Advanced Analysis part of the WIN@FMRIB Graduate Programme

development of the process and decision tree for sharing data on the WIN XNAT server

Various Regions of interest

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.

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

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.

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

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.

The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit

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