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README.rst

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.. image:: https://img.shields.io/pypi/v/dmriprep.svg
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:target: https://pypi.python.org/pypi/dmriprep
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.. image:: https://circleci.com/gh/nipreps/dmriprep.svg?style=svg
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:target: https://circleci.com/gh/nipreps/dmriprep
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.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3392201.svg
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:target: https://doi.org/10.5281/zenodo.3392201
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.. image:: https://readthedocs.org/projects/dmriprep/badge/?version=latest
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:target: https://dmriprep.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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Preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize
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The preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize
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the data before fitting a particular model.
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Generally, researchers create ad hoc preprocessing workflows for each dataset,
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Generally, researchers create ad-hoc preprocessing workflows for each dataset,
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building upon a large inventory of available tools.
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The complexity of these workflows has snowballed with rapid advances in
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acquisition and processing.

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