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        Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study

          Mori et al.
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        Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry

          Mori et al.
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        Robustness of CT radiomic features against image discretization and interpolation in characterizing pancreatic neuroendocrine neoplasms

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  • Original paper

    Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry

    Physica Medica: European Journal of Medical Physics
    Vol. 85p63–71Published online: April 29, 2021
    • Martina Mori
    • Diego Palumbo
    • Rebecca De Lorenzo
    • Sara Broggi
    • Nicola Compagnone
    • Giorgia Guazzarotti
    • and others
    Cited in Scopus: 4
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      Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) 2, was identified in China and very rapidly spread around the world [1,2], resulting in the current coronavirus disease 2019 (COVID-19) pandemic with tens of millions of confirmed cases worldwide.
      Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry
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