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Add references to JOSS paper #362

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8 changes: 6 additions & 2 deletions README.rst
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Expand Up @@ -50,14 +50,18 @@
:target: https://colab.research.google.com/github/lanl/scico-data/blob/colab/notebooks/index.ipynb
:alt: Run notebooks on google colab

.. image:: https://joss.theoj.org/papers/10.21105/joss.04722/status.svg
:target: https://doi.org/10.21105/joss.04722
:alt: JOSS paper


Scientific Computational Imaging COde (SCICO)

Scientific Computational Imaging Code (SCICO)
=============================================

SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications. Its primary focus is providing methods for solving ill-posed inverse problems by using an appropriate prior model of the reconstruction space. SCICO includes a growing suite of operators, cost functionals, regularizers, and optimization routines that may be combined to solve a wide range of problems, and is designed so that it is easy to add new building blocks. SCICO is built on top of `JAX <https://github.com/google/jax>`_, which provides features such as automatic gradient calculation and GPU acceleration.

`Documentation <https://scico.rtfd.io/>`_ is available online. If you use this software for published work, please cite bibtex entry ``scico-2022`` in ``docs/source/references.bib``.
`Documentation <https://scico.rtfd.io/>`_ is available online. If you use this software for published work, please cite the corresponding `JOSS Paper <https://doi.org/10.21105/joss.04722>`_ (see bibtex entry ``balke-2022-scico`` in ``docs/source/references.bib``).


Installation
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2 changes: 1 addition & 1 deletion docs/source/overview.rst
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Expand Up @@ -48,7 +48,7 @@ and `binder
<https://mybinder.org/v2/gh/lanl/scico-data/binder?labpath=notebooks%2Findex.ipynb>`__.


If you use this library for published work, please cite :cite:`scico-2022` (see bibtex entry ``scico-2022`` in `docs/source/references.bib <https://github.com/lanl/scico/blob/main/docs/source/references.bib>`_ in the source distribution).
If you use this library for published work, please cite :cite:`balke-2022-scico` (see bibtex entry ``balke-2022-scico`` in `docs/source/references.bib <https://github.com/lanl/scico/blob/main/docs/source/references.bib>`_ in the source distribution).



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20 changes: 11 additions & 9 deletions docs/source/references.bib
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Expand Up @@ -481,15 +481,17 @@ @Article {sauer-1993-local
doi = {10.1109/78.193196}
}

@Misc {scico-2022,
author = {Thilo Balke and Fernando Davis and
Cristina Garcia-Cardona and Michael McCann and
Luke Pfister and Brendt Wohlberg},
title = {{S}cientific {C}omputational {I}maging {CO}de
{(SCICO)}},
howpublished = {Software library available from
\url{https://github.com/lanl/scico}},
year = 2022
@Article {balke-2022-scico,
author = {Thilo Balke and Fernando Davis and Cristina
Garcia-Cardona and Soumendu Majee and Michael McCann
and Luke Pfister and Brendt Wohlberg},
title = {Scientific Computational Imaging Code ({SCICO})},
journal = {Journal of Open Source Software},
year = {2022},
volume = {7},
number = {78},
pages = {4722},
doi = {10.21105/joss.04722}
}

@Article {soulez-2016-proximity,
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