.. _cite:

Cite
====

If `pyGraphomics` has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing the following papers:

Research paper
--------------

Gianluca Carlini, Riccardo Biondi, Nico Curti, Daniel Remondini, Gastone Castellani, **Graphomics: A network approach to Medical Image Analysis**, *Journal*, pages (2023)

Here's an example of a BibTeX entry:

.. code-block:: latex

  @misc{pygraphomics,
    author = {Carlini, Gianluca and Biondi, Riccardo and Curti, Nico and Remondini, Daniel and Castellani, Gastone},
    title = {Graphomics: A network approach to Medical Image Analysis},
    year = {2023},
    publisher = {journal},
    howpublished = {\url{https://url.com}}
  }

Code reference
--------------

Nico Curti, Gianluca Carlini, Riccardo Biondi, **graphomics - Graphomics feature extraction in Python**, *Github*, https://github.com/Nico-Curti/graphomics

Here's an example of a BibTeX entry:

.. code-block:: latex

  @misc{pygraphomics,
    author = {Curti, Nico and Carlini, Gianluca and Biondi, Riccardo},
    title = {graphomics - Graphomics feature extraction in Python},
    year = {2023},
    publisher = {GitHub},
    howpublished = {\url{https://github.com/Nico-Curti/graphomics}}
  }

For any specific algorithm, also consider citing the code refence's paper.