fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

This repository is dedicated for the tutorial on network and topological neuroscience.

Code related to Neuroimaging Analysis Replication and Prediction Study

Official code release for BOLD5000 Release 2.0

How-to examples and a batch pipeline for second-level neuroimaging analysis. Batch scripts and examples publish HTML files with code and output.

Brainlife.io Documentation

Materials for the "Introduction to fMRI analysis" workshop at the MRC CBU

Image-Based Meta- & Mega-Analysis (IBMMA)

Personal website

In this project, I investigate the possibility of modelling neural connectivity from functional magnetic resonance images using Bayesian Networks.

Machine learning on neuroimaging data, for R.

Teaching computational reproducibility for neuroimaging

Brainhack Donostia website.

Web guided ReproIn MR scan sequence namer and name->nifti pipeline checker

Repository for the Magnetic Resonance Imaging in Cognitive Neuroscience (MRICN) course, University of Birmingham

Processing data with EEGLAB

Personal research website

HED (Hierarchical Event Descriptor) standards organization

SlicerDMRI tutorial repository