Representation Learning with Information Theory to Detect COVID-19 and Its Severity

Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli

ECCVW 2022 pp. 605-620

doi:10.1007/978-3-031-25082-8_41 /eccvw/2022/berenguer2022eccvw-representation/

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Text

Berenguer et al. "Representation Learning with Information Theory to Detect COVID-19 and Its Severity." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25082-8_41

Markdown

[Berenguer et al. "Representation Learning with Information Theory to Detect COVID-19 and Its Severity." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/berenguer2022eccvw-representation/) doi:10.1007/978-3-031-25082-8_41

BibTeX

@inproceedings{berenguer2022eccvw-representation,
  title     = {{Representation Learning with Information Theory to Detect COVID-19 and Its Severity}},
  author    = {Berenguer, Abel Díaz and Mukherjee, Tanmoy and Da, Yifei and Bossa, Matías Nicolás and Kvasnytsia, Maryna and Vandemeulebroucke, Jef and Deligiannis, Nikos and Sahli, Hichem},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {605-620},
  doi       = {10.1007/978-3-031-25082-8_41},
  url       = {https://mlanthology.org/eccvw/2022/berenguer2022eccvw-representation/}
}