Software platform for clinical neuroimaging studies

v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.

Utility functions for working with DICOM and BIDS neuroimaging data

bids application for processing functional MRI data, robust to scanner, acquisition and age variability.

Create a BIDS structure for a DICOM folder.

Reconstruction of preprocessed q-space images (dMRI)

Easily convert to, organize, and manage BIDS imaging data in Python

afniGLMprep is python code which prepares and runs GLMs on neuroimaging data stored in the BIDS format (http://bids.neuroimaging.io/). This is done via AFNI's 3dDeconvolve function.

Convert HCP Lifespan, Aging, and Development data to BIDS format

A pipeline for converting data from Duke BIAC to BIDS format

A Graphical User Interface to help with BIDS Curation

Tutorials for organising MEG/EEG and MRI data into BIDS standard.

Scripts to convert redcap api exports to bids format

Python package to help interact with BIDS formated medical imaging datasets

This Python script processes MEG data, primarily for CTF datasets, anonymizes it, converts it to BIDS format, and copies anatomical files. It can be adapted for other MEG datasets. The script also logs errors and generates a CSV mapping subject names to numbers.

Scripts in bash and python to manipulate dicom images

Pydra tasks for dcm2bids