https://github.com/bids-apps/mindboggle
Improve the accuracy, precision, and consistency of automated labeling and shape analysis of human brain image data
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Keywords
Repository
Improve the accuracy, precision, and consistency of automated labeling and shape analysis of human brain image data
Basic Info
Statistics
- Stars: 5
- Watchers: 3
- Forks: 4
- Open Issues: 10
- Releases: 4
Topics
Metadata Files
README.md
mindboggle
Description
The Mindboggle project's mission is to improve the accuracy, precision, and consistency of automated labeling and shape analysis of human brain image data. We promote open science by making all software, data, and documentation freely and openly available. For more information on mindboggle, check out the mindboggle website
Docker
To pull the docker image from Docker Hub, do
bash
docker pull bids/mindboggle
To run the docker, do:
bash
docker run -ti \
-v $PWD/ds114_test1:/home/jovyan/work/data \
bids/mindboggle \
/home/jovyan/work/data \
/home/jovyan/work/data/derivatives/ participant
Its important to mount to a directory in /home/jovyan/ because you are not root in this Docker image.
To use bash:
bash
docker run -ti \
-v /Users/keshavan/Downloads/mindboggle_input_example/bids:/home/jovyan/work/data \
--entrypoint /bin/bash \
bids/mindboggle
For developers, you can make changes to the Dockerfile, and build the docker image, by running
bash
docker build -t bids/mindboggle .
Acknowledgements
When using this app, please cite:
101 labeled brain images and a consistent human cortical labeling protocol.
Arno Klein, Jason Tourville. 2012. Frontiers in Brain Imaging Methods.
6:171. DOI: 10.3389/fnins.2012.00171
Error Reporting
Please report errors on the Issues page of this repository.
Owner
- Name: BIDS Apps
- Login: bids-apps
- Kind: organization
- Website: http://bids-apps.neuroimaging.io
- Twitter: BIDSStandard
- Repositories: 42
- Profile: https://github.com/bids-apps
A collection of containerized neuroimaging workflows and pipelines that accept datasets organized according to the Brain Imaging Data Structure (BIDS).
GitHub Events
Total
- Watch event: 1
- Delete event: 1
- Push event: 1
- Pull request event: 1
Last Year
- Watch event: 1
- Delete event: 1
- Push event: 1
- Pull request event: 1
Dependencies
- actions/checkout v3 composite
- nipy/mindboggle latest build