Explore projects

Beta version of MMORF for internal FMRIB release.

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

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

FSLeyes, the FSL image viewer.

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

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

The FSL Python Library

Educational material for the WIN Analysis Group

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

Various Regions of interest

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

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

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

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.

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.

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