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COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients.
Shiri I, Salimi Y, Pakbin M, Hajianfar G, Avval AH, Sanaat A, Mostafaei S, Akhavanallaf A, Saberi A, Mansouri Z, Askari D, Ghasemian M, Sharifipour E, Sandoughdaran S, Sohrabi A, Sadati E, Livani S, Iranpour P, Kolahi S, Khateri M, Bijari S, Atashzar MR, Shayesteh SP, Khosravi B, Babaei MR, Jenabi E, Hasanian M, Shahhamzeh A, Foroghi Ghomi SY, Mozafari A, Teimouri A, Movaseghi F, Ahmari A, Goharpey N, Bozorgmehr R, Shirzad-Aski H, Mortazavi R, Karimi J, Mortazavi N, Besharat S, Afsharpad M, Abdollahi H, Geramifar P, Radmard AR, Arabi H, Rezaei-Kalantari K, Oveisi M, Rahmim A, Zaidi H. Shiri I, et al. Among authors: shayesteh sp. Comput Biol Med. 2022 Jun;145:105467. doi: 10.1016/j.compbiomed.2022.105467. Epub 2022 Mar 29. Comput Biol Med. 2022. PMID: 35378436 Free PMC article.
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network.
Shiri I, Akhavanallaf A, Sanaat A, Salimi Y, Askari D, Mansouri Z, Shayesteh SP, Hasanian M, Rezaei-Kalantari K, Salahshour A, Sandoughdaran S, Abdollahi H, Arabi H, Zaidi H. Shiri I, et al. Among authors: shayesteh sp. Eur Radiol. 2021 Mar;31(3):1420-1431. doi: 10.1007/s00330-020-07225-6. Epub 2020 Sep 3. Eur Radiol. 2021. PMID: 32879987 Free PMC article.