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Adds a roadmap to documentation.
Adjusts readme a tiny bit too.
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README.rst

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The workflow is based on `Nipype <https://nipype.readthedocs.io>`__ and encompases a large
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set of tools from well-known neuroimaging packages, including
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`FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>`__,
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`ANTs <https://stnava.github.io/ANTs/>`__,
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`FreeSurfer <https://surfer.nmr.mgh.harvard.edu/>`__,
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`AFNI <https://afni.nimh.nih.gov/>`__,
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and `Nilearn <https://nilearn.github.io/>`__.
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and `DIPY <https://dipy.org/>`__.
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This pipeline was designed to provide the best software implementation for each state of
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preprocessing, and will be updated as newer and better neuroimaging software becomes
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available.
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dMRIPrep performs basic preprocessing steps (coregistration, normalization, unwarping,
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segmentation, skullstripping etc.) providing outputs that can be
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easily submitted to a variety of tractography algorithms.
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dMRIPrep performs basic preprocessing steps (head motion correction,
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susceptibility distortion correction, eddy current correction, etc.) providing
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outputs that can be easily submitted to a variety of tractography algorithms.

docs/index.rst

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usage
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api
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changes
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roadmap

docs/roadmap.rst

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.. include:: links.rst
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--------------------
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Development road map
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--------------------
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This road-map serves as a guide for developers as well as a way for us to
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communicate to users and other stake-holders aboout the expectations they should
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have about the current functionality of the software and future developments.
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