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fix: links + allow markdown as source
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README.rst

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heudiconv: A Heuristic-centric DICOM Converter
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.. topic:: `HeuDiConv`: a heuristic-centric DICOM converter
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.. image:: https://img.shields.io/badge/docker-nipy/heudiconv:unstable-brightgreen.svg?logo=docker&style=flat
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:target: https://hub.docker.com/r/nipy/heudiconv/tags/
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- using dcm2niix under the hood, it's fast
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- it can track the provenance of the conversion from DICOM to NIfTI in W3C
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PROV format
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- it provides assistance in converting to `BIDS <http://bids.neuroimaging.io/>`
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- it integrates with `DataLad <https://www.datalad.org/>` to place converted and
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- it provides assistance in converting to `BIDS <http://bids.neuroimaging.io/>`_.
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- it integrates with `DataLad <https://www.datalad.org/>`_ to place converted and
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original data under git/git-annex version control, while automatically
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annotating files with sensitive information (e.g., non-defaced anatomicals, etc)

docs/conf.py

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# The suffix(es) of source filenames.
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# You can specify multiple suffix as a list of string:
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#
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# source_suffix = ['.rst', '.md']
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source_suffix = '.rst'
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source_suffix = ['.rst', '.md']
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# source_suffix = '.rst'
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# The master toctree document.
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master_doc = 'index'

docs/index.rst

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--------
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.. toctree::
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:maxdepth: 2
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:maxdepth: 1
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installation
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../CHANGELOG.md

docs/installation.rst

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Local
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-----
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Released versions of HeuDiConv are available on `PyPI <https://pypi.org/project/heudiconv/>`
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and `conda <https://github.com/conda-forge/heudiconv-feedstock#installing-heudiconv>`.
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Released versions of HeuDiConv are available on `PyPI <https://pypi.org/project/heudiconv/>`_
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and `conda <https://github.com/conda-forge/heudiconv-feedstock#installing-heudiconv>`_.
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If installing through ``PyPI``, eg::
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pip install heudiconv[all]
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Manual installation of `dcm2niix <https://github.com/rordenlab/dcm2niix#install>`
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Manual installation of `dcm2niix <https://github.com/rordenlab/dcm2niix#install>`_
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is required.
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On Debian-based systems we recommend using `NeuroDebian <http://neuro.debian.net>`
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which provides the `heudiconv package <http://neuro.debian.net/pkgs/heudiconv.html>`.
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On Debian-based systems we recommend using `NeuroDebian <http://neuro.debian.net>`_
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which provides the `heudiconv package <http://neuro.debian.net/pkgs/heudiconv.html>`_.
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Docker
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------
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If `Docker <https://docs.docker.com/install/>` is available on your system, you
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can visit `our page on Docker Hub <https://hub.docker.com/r/nipy/heudiconv/tags>`
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If `Docker <https://docs.docker.com/install/>`_ is available on your system, you
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can visit `our page on Docker Hub <https://hub.docker.com/r/nipy/heudiconv/tags>`_
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to view available releases. To pull the latest release, run::
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$ docker pull nipy/heudiconv:0.5.4
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Singularity
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-----------
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If `Singularity <https://www.sylabs.io/singularity/>` is available on your system,
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If `Singularity <https://www.sylabs.io/singularity/>`_ is available on your system,
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you can use it to pull and convert our Docker images! For example, to pull and
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build the latest release, you can run::
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docs/tutorials.rst

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Luckily(?), we live in an era of plentiful information. Below are some links to
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other users' tutorials covering their experience with ``heudiconv``.
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other users' tutorials covering their experience with ``heudiconv``.
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- `YouTube tutorial <https://www.youtube.com/watch?v=O1kZAuR7E00>` by
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`James Kent <https://github.com/jdkent>`
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- `Walkthrough <http://reproducibility.stanford.edu/bids-tutorial-series-part-2a/>`
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by the `Standard Center for Reproducible Neuroscience <http://reproducibility.stanford.edu/>`
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- `Sample Conversion: Coastal Coding 2019 <http://www.repronim.org/coco2019-training/presentations/heudiconv/#1>`
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- `U of A Neuroimaging Core <https://neuroimaging-core-docs.readthedocs.io/en/latest/pages/heudiconv.html>`
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by `Dianne Patterson <https://github.com/dkp>`
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- `YouTube tutorial <https://www.youtube.com/watch?v=O1kZAuR7E00>`_ by `James Kent <https://github.com/jdkent>`_.
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- `Walkthrough <http://reproducibility.stanford.edu/bids-tutorial-series-part-2a/>`_ by the `Standard Center for Reproducible Neuroscience <http://reproducibility.stanford.edu/>`_.
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- `Sample Conversion: Coastal Coding 2019 <http://www.repronim.org/coco2019-training/presentations/heudiconv/#1>`_.
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- `U of A Neuroimaging Core <https://neuroimaging-core-docs.readthedocs.io/en/latest/pages/heudiconv.html>`_ by `Dianne Patterson <https://github.com/dkp>`_.
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* Note: some of these tutorials may not be 100% up to date with the latest releases
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of ``heudiconv``, so refer to this documentation first.
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** Note: some of these tutorials may not be 100% up to date with the latest releases of ``heudiconv``, so refer to this documentation first.

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