dhivsrin Goto Github PK

abide

ABIDE Preprocessed Initiative

afni

Official AFNI source and documentation

aslbids

New asl bids conversion

aslprep

baller_heterogen_2019

bigdatacourse

Practical exercises for big data course

blood-vessels-segmentation-unet

Retinal blood vessel segmentation using convolutional neural network (u-net) and image processing techniques.

braincharts

brainparts

NMF Code for calculating components from Brain imaging data.

broccoli

BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs

cbig

cluster_roi

Python script to perform the spatially constrained parcellation of functional MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012

collaborative_brain_decomposition

combatharmonization

Harmonization of multi-site imaging data with ComBat

combinedfc

Repository for the combinedFC project (Sanchez-Romero & Cole, 2019) https://doi.org/10.1101/841890

connectir

Fast and memory efficient approach for connectome-wide association studies in R and C++. Uses custom implementation of multivariate distance matrix regression to associate brain and behavior.

craddock-amx-centrality

Brainhack AMX project report

crosslong

Nature is a language---can't you read?

functional-random-forest

Functional Analysis with Random Forests

healthspanpaper

This repository consists of jupyter notebooks with python, bash and R code for reproducing results of paper Zenin et al. "Identification of 12 genetic loci associated with human healthspan".

hierarchy2020

code base for Ito T, Hearne LJ, Cole MW (2020). "A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales"

hydra

Heterogeneity through discriminative analysis

larsen_irondevelopment

mayavi

mdmr

functions for doing multivariate regression analysis of distance matrices

mdmr_fmri

mediationtoolbox

Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

nibax

The neuro-imaging brain aging chart [NiBAχ] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [NiBAχ] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visualization, and extraction of expressive imaging signatures.