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Compilation of practicals for thee Advanced Analysis part of the WIN@FMRIB Graduate Programme
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FSL / Oxford-MM templates
Creative Commons Attribution Share Alike 4.0 InternationalMultimodal templates constructed by jointly optimising similarity across multiple scalar- and tensor-based modalities using MMORF for nonlinear registrations.
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open-science / community / data-sharing-decision-tree
Creative Commons Attribution 4.0 Internationaldevelopment of the process and decision tree for sharing data on the WIN XNAT server
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FSL / pyfeeds
Apache License 2.0The FSL Evaluation and Example Data Suite (FEEDS), now in Python!
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Talks, practicals, and other materials for the 2020 WIN PyTreat
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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
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Exploring machine learning methods, with special focus on the deep learning methods in order to attempt Neuroimage segmentation and analysis
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FSL / file-tree
MIT LicenseFileTrees provide a way to define the content of a structured directory. This can be very handy when defining input/output files for a pipeline.
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Istvan N Huszar / tirl
Apache License 2.0Tensor Image Registration Library - a modular general-purpose image registration framework for Python with prebaked scripts for histology-to-MRI registration.
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Fidel Alfaro Almagro / UKB_UNCONFOUND_v2
Apache License 2.0Code for the generation, processing, and analysis of imaging confounds in UKB Biobank.
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Pipeline for unbiased multimodal template construction from T1, T2 and DTI images.
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FSL / funpack
Apache License 2.0The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit
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