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1
Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation.
Radiol Cardiothorac Imaging. 2020 Apr 6;2(2):e204001. doi: 10.1148/ryct.2020204001. eCollection 2020 Apr.
2
Erratum: Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation.
Radiol Cardiothorac Imaging. 2020 Dec 17;2(6):e209004. doi: 10.1148/ryct.2020209004. eCollection 2020 Dec.
3
Erratum: Chest CT Findings in Cases from the Cruise Ship "Diamond Princess" with Coronavirus Disease 2019 (COVID-19).
Radiol Cardiothorac Imaging. 2020 Apr 7;2(2):e204002. doi: 10.1148/ryct.2020204002. eCollection 2020 Apr.
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Erratum: Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.
NPJ Digit Med. 2019 Dec 10;2:129. doi: 10.1038/s41746-019-0198-6. eCollection 2019.
6
Erratum: Usefulness of low dose chest CT for initial evaluation of blunt chest trauma: Erratum.
Medicine (Baltimore). 2017 Jun 8;96(23):e7234. doi: 10.1097/MD.0000000000007234. eCollection 2017 Jun.
7
Erratum to long-term chest CT follow-up in COVID-19 Survivors: 102-361 days after onset.
Ann Transl Med. 2022 May;10(9):532. doi: 10.21037/atm-2022-2.
8
Erratum: Medicine, Volume 95, Issue 23: Erratum.
Medicine (Baltimore). 2016 Jul 18;95(28):e0916. doi: 10.1097/01.md.0000489580.04709.16. eCollection 2016 Jul.
9
Erratum: Medicine, Volume 95, Issue 24: Erratum.
Medicine (Baltimore). 2016 Aug 7;95(31):e5074. doi: 10.1097/01.md.0000490009.39850.74. eCollection 2016 Aug.
10
Erratum: Diastolic and Systolic Cardiac Dysfunction in Pectus Excavatum: Relationship to Exercise and Malformation Severity.
Radiol Cardiothorac Imaging. 2020 Oct 29;2(5):e209003. doi: 10.1148/ryct.2020209003. eCollection 2020 Oct.

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2
How accurate are radiography and computed tomography in the diagnosis of COVID-19?-A Bayesian approach.
Acta Radiol Open. 2022 Nov 24;11(11):20584601221142256. doi: 10.1177/20584601221142256. eCollection 2022 Nov.
3
[Role of Chest Radiographs and CT Scans and the Application of Artificial Intelligence in Coronavirus Disease 2019].
Taehan Yongsang Uihakhoe Chi. 2020 Nov;81(6):1334-1347. doi: 10.3348/jksr.2020.0138. Epub 2020 Nov 30.
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Chest CT Findings of COVID-19 Patients with Mild Clinical Symptoms at a Single Hospital in Korea.
Taehan Yongsang Uihakhoe Chi. 2021 Jan;82(1):139-151. doi: 10.3348/jksr.2020.0094. Epub 2020 Dec 23.
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Incidental radiological findings suggestive of COVID-19 in asymptomatic patients.
World J Radiol. 2022 Jan 28;14(1):1-12. doi: 10.4329/wjr.v14.i1.1.
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Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients.
Can J Infect Dis Med Microbiol. 2021 Oct 6;2021:6326947. doi: 10.1155/2021/6326947. eCollection 2021.
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Evaluation of radiological findings in pediatric patients with COVID-19 in Turkey.
North Clin Istanb. 2021 Aug 25;8(4):332-339. doi: 10.14744/nci.2020.97947. eCollection 2021.
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Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images.
Arab J Sci Eng. 2022;47(2):1675-1692. doi: 10.1007/s13369-021-05958-0. Epub 2021 Aug 11.
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Tomographic score (RAD-Covid Score) to assess the clinical severity of the novel coronavirus infection.
Braz J Infect Dis. 2021 Jul-Aug;25(4):101599. doi: 10.1016/j.bjid.2021.101599. Epub 2021 Jul 14.

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