Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon

Edoardo Coppola, Damiano Ferrari, Mattia Savardi, Alberto Signoroni. Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon. In Khan M. Iftekharuddin, Weijie Chen, editors, Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, CA, USA, February 19-23, 2023. Volume 12465 of SPIE Proceedings, SPIE, 2023. [doi]

@inproceedings{CoppolaFSS23,
  title = {Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon},
  author = {Edoardo Coppola and Damiano Ferrari and Mattia Savardi and Alberto Signoroni},
  year = {2023},
  doi = {10.1117/12.2653530},
  url = {https://doi.org/10.1117/12.2653530},
  researchr = {https://researchr.org/publication/CoppolaFSS23},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, CA, USA, February 19-23, 2023},
  editor = {Khan M. Iftekharuddin and Weijie Chen},
  volume = {12465},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510660366},
}