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  Quantitative evaluation of CT scan images to determinate the prognosis of COVID-19 patient using deep learning

  Saeid Sadeghi Joni, Reza Gerami, Fakhereh Pashaei, Hojat Ebrahiminik, Mahmood Karimi

  25-07-2023

  https://doi.org/10.4081/ejtm.2023.11571

  1303

  Downloads: 339

  HTML: 8

• Abstract 004 | Digital and synthetic twins to improve the evaluation of diseases Damiano Coato ^1|2, Gianmarco Dolino ^1|2, Alice Berardo ^2|4, Emanuele L. Carniel ^2|3, Paolo Gargiulo ^1|2 | ¹Institute of Biomedical and Neural Engineering, Reykjavík University, Reykjavík, Iceland ; ²Department of Industrial Engineering, University of Padova, Padua, Italy; ³Centre for Mechanics of Biological Materials, University of Padova, Padua, Italy; ⁴Department of Civil Environmental and Architectural Engineering, University of Padova, Padua, Italy.

  Damiano Coato

  02-03-2026

  https://doi.org/10.4081/ejtm.2026.15003

  114

  Downloads: 42