Reusable neuroimaging pipelines using nipype and state-of-the-art neuroimaging preprocessing software.
The objectives of this projects are:
- easy-to-use, complete, reusable, and configurable pre-processing pipelines, and
- high-quality results with the minimum manual intervention in the images.
Please have a look at the documentation here.
If you use Pypes please cite it:
Alexandre M. Savio, Michael Schutte, Manuel Graña and Igor Yakushev
Pypes: Workflows for Processing Multimodal Neuroimaging Data
Front. Neuroinform., April 2017, vol 11, 2017, pages 25
issn: 1662-5196
doi: 10.3389/finf.2017.00025
https://doi.org/10.3389/fninf.2017.00025
...or the BibTeX:
@ARTICLE{10.3389/fninf.2017.00025,
AUTHOR={Savio, Alexandre M. and Schutte, Michael and Graña, Manuel and Yakushev, Igor},
TITLE={Pypes: Workflows for Processing Multimodal Neuroimaging Data},
JOURNAL={Frontiers in Neuroinformatics},
VOLUME={11},
PAGES={25},
YEAR={2017},
URL={http://journal.frontiersin.org/article/10.3389/fninf.2017.00025},
DOI={10.3389/fninf.2017.00025},
ISSN={1662-5196}
}
Also consider citing Nipype and all the other open source tools you use.
Licensed under the Apache License, Version 2.0.