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@nipreps

NeuroImaging PREProcessing toolS

NiPreps (NeuroImaging PREProcessing toolS)

Please visit www.nipreps.org for a more comprehensive description of this community. Don't forget to also learn about the sister initiative www.templateflow.org.

News and some discussions take place at the Nipreps GitHub discussions.

About

The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving a large number of experts, across imaging modalities and applications. The development and fast adoption of fMRIPrep have revealed that neuroscientists need tools that simplify their research workflow, provide visual reports and checkpoints, and engender trust in the tool itself. The NiPreps framework extends fMRIPrep's approach and principles to new imaging modalities. The vision for NiPreps is to provide end-users (i.e., researchers) with applications that allow them to perform quality control smoothly and to prepare their data for modeling and statistical analysis.

Acknowledgments

This work is steered and maintained by the NiPreps Community. The development of this framework is supported the NIMH (RF1MH121867, RAP, OE).

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  1. fmriprep fmriprep Public

    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.

    HTML 638 294

  2. dmriprep dmriprep Public

    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.

    Python 64 24

  3. smriprep smriprep Public

    Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

    Python 134 39

  4. mriqc mriqc Public

    Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

    Python 298 132

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