Generate custom Docker and Singularity images, and minimize existing containers
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
The project is used to do preprocessing on brain MR images by using Nipype.
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
PNH segmentation pipelines based on nipype
Reusable neuroimaging pipelines using nipype
Open-source eddy-current and head-motion correction for dMRI.
Pypelines Utilizing a Modular Inventory
Nipype workflow to generate fieldmaps from EPI acquisitions with differing phase-encoding directions
The basic structural and diffusion MRI registration with pre-processing pipeline in Python.
PUMI: neuroimaging Pipelines Using Modular workflow Integration
Nipype interface(s) wrapping the fsl_anat command line tool
An extensible fMRI Preprocessing Pipeline in nipype based on a 2015 Jonathan Power Pipeline
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