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:

@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:

@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.