Generate custom Docker and Singularity images, and minimize existing containers
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Open-source eddy-current and head-motion correction for dMRI.
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
PNH segmentation pipelines based on nipype
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal MRI reconstruction in the BIDS Apps framework.
The project is used to do preprocessing on brain MR images by using Nipype.
Reusable neuroimaging pipelines using nipype
A Dockerfile to create a Ubuntu docker for neuroimaging
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
Pypelines Utilizing a Modular Inventory
Some pipelines implemented with nipype.
Nipype interface(s) wrapping the fsl_anat command line tool
A repository for creating Docker and Singularity files using Neurodocker
Portable, modular, reusable, and reproducible processing pipeline software for fetal brain MRI super-resolution
An innovative and collaborative solution for setting up and executing Jupyter Notebooks on High-Performance Computing (HPC) clusters, tailored for neuroscience data processing workflows.
Nipype workflow to generate fieldmaps from EPI acquisitions with differing phase-encoding directions
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