Explore projects
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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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profumo / PROFUMO
OtherCode for inferring PRObabilistic FUnctional MOdes. See DOI: 10.1016/j.neuroimage.2015.01.013 and DOI: 10.1016/j.neuroimage.2020.117226.
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Analysis pipeline used in the ‘Capturing MultiORgan Effects of COVID-19’ (C-MORE) study.
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Computational modelling course taught as part of the WIN graduate programme.
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Andrei-Claudiu Roibu / BrainMapper
BSD 3-Clause "New" or "Revised" LicenseThis 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.
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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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preclinical-imaging / Bruker_7T_QSM_R2s_Pipeline_ExVivo_OpenSource
Apache License 2.0Updated -
FSL / funpack
Apache License 2.0The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit
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Triplanar U-Net ensemble network (TrUE-Net) model for WMH segmentation
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Pipeline for unbiased multimodal template construction from T1, T2 and DTI images.
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