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Cited by in F6Publishing
For: Mirza-Aghazadeh-Attari M, Zarrintan A, Nezami N, Mohammadi A, Zarrintan A, Mohebbi I, Pirnejad H, Khademvatani K, Ashkavand Z, Forughi P, Arasteh A, Attari JA. Predictors of coronavirus disease 19 (COVID-19) pneumonitis outcome based on computed tomography (CT) imaging obtained prior to hospitalization: a retrospective study. Emerg Radiol 2020;27:653-61. [PMID: 32770367 DOI: 10.1007/s10140-020-01833-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Mehrabi Nejad M, Abkhoo A, Salahshour F, Salehi M, Gity M, Komaki H, Kolahi S, Mallineni SK. Chest CT Scan Features to Predict COVID-19 Patients’ Outcome and Survival. Radiology Research and Practice 2022;2022:1-9. [DOI: 10.1155/2022/4732988] [Reference Citation Analysis]
2 Hasan N, Bao Y, Shawon A, Huang Y. DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image. SN Comput Sci 2021;2:389. [PMID: 34337432 DOI: 10.1007/s42979-021-00782-7] [Reference Citation Analysis]
3 Gosangi B, Rubinowitz AN, Irugu D, Gange C, Bader A, Cortopassi I. COVID-19 ARDS: a review of imaging features and overview of mechanical ventilation and its complications. Emerg Radiol 2021. [PMID: 34698956 DOI: 10.1007/s10140-021-01976-5] [Reference Citation Analysis]
4 Abdel-Hamid HM, Rizk HI, Magdy S. Occurrence of pulmonary residuals as one of the sequelae of COVID-19 and it's predictors among moderate and severe cases. Indian J Tuberc 2021;68:450-6. [PMID: 34752312 DOI: 10.1016/j.ijtb.2021.01.006] [Reference Citation Analysis]
5 Zhang B, Ni-Jia-Ti MY, Yan R, An N, Chen L, Liu S, Chen L, Chen Q, Li M, Chen Z, You J, Dong Y, Xiong Z, Zhang S. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Br J Radiol 2021;94:20201007. [PMID: 33881930 DOI: 10.1259/bjr.20201007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]