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mp2rage-related-scripts

MP2RAGE Scripts - T1 map correction & Background noise removal

mpm_bids

mriquality

Tools for routine quality assurance and post-acquisition MRI data quality control

mrm

Multivariate and Repeated Measures for Neuroimaging

netstats

This repo contains R code to plot the outputs of the nipype connectivity pipelines

nipype

Workflows and interfaces for neuroimaging packages

noddi_singularity

Singularity containerized version of the NODDI toolbox.

nrrd2nifti

Some functions to convert images in NRRD format into Nifti format.

ohbm2020_ml4ni

OHBM2020 educational course

ohbm2021_ml4ni

OHBM2021 Educational Course, Machine Learning for Neuroimaging

parktdi_scripts

Code associated with "Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease" (DOI:10.1016/j.neuroimage.2014.06.033)

pronto_meegatlas

Creating NIfTI atlas for multi-kernel learning in M/EEG data for PRoNTo

pronto_searchlight

Search light hack for PRoNTo

pyactigraphy

Python-based open source package for actigraphy data analysis

pybidsconv

GUI based converter for MR dicoms to BIDS structure

quiqi_simulations

Some sims for the quiQI project

real-diffusion

reproin

A setup for automatic generation of shareable, version-controlled BIDS datasets from MR scanners

restlib

Resting State fMRI Analysis Library

robust_statistical_toolbox

Robust_Statistical_Toolbox

rshrf

Resting state HRF estimation from BOLD-fMRI signal

shamo

A tool for electromagnetic modelling of the head and sensitivity analysis.

shamo-tutorials

A repository containing tutorials for shamo

slidingwindowfc

Sliding window functional connectivity tools

sparselowrankidentification

Code performing "sparse low-rank indentification" on resting state fMRI data

spm-beamforming-toolbox

Automatically exported from code.google.com/p/spm-beamforming-toolbox

spm_auto_reorient

A few routines to perform "auto reorient" in SPM

spm_clustersizethreshold

SPM Cluster Size Threshold estimation

spmup

SPM tools to get the best of mass univariate analyses

super-resolution

Reimplement MTV-based denoising/super-resolution using a reweighted least-squares approach