NeuroImaging PREProcessing toolS's Projects
Shared community health files
Nipreps sprint, Cambridge, MA, May 15-17, 2024
Data-loading utility for Python
Template for NiPreps repositories
dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Interactive dmriprep report HTML, JS & CSS
Open-source eddy-current and head-motion correction for dMRI.
Run ICA-AROMA on fMRIPrep derivatives
An attempt at an fMRIPost workflow for handling phase data
A BIDS App for running rapidtide on a preprocessed fMRI dataset.
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.
A repository for notebooks associated with FMRIPREP
fMRIPrep for Rodents
Automatic reports summarizing usage stats from Sentry.io
Generalizing antsBrainExtraction across populations and species
The NiPreps Community's Governance Documents
fork of HCP gradunwarp tool for Gradient Unwarping in Python
Workflows and interfaces for neuroimaging packages
A ready-to-go python package for communicating with a migas server
MolPrep is a robust and easy-to-use pipeline for preprocessing of diverse molecular imaging data (PET, SPECT). The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Automated Quality Control and visual reports for Quality Assessment of molecular brain imaging (PET, SPECT)
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
Learning on MRIQC-generated image quality metrics (IQMs).
A repository associated to MRIQC containing notebooks and other resources
Schemas for the MRIQC WebAPI
fMRIPrep-Infants - A robust, transparent workflow tailored for neonate and infant MRI
The official NiPreps Python module