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For: Khosravi B, Aghaghazvini L, Sorouri M, Naybandi Atashi S, Abdollahi M, Mojtabavi H, Khodabakhshi M, Motamedi F, Azizi F, Rajabi Z, Kasaeian A, Sima AR, Davarpanah AH, Radmard AR. Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia. Heart Lung 2021;50:13-20. [PMID: 33097297 DOI: 10.1016/j.hrtlng.2020.10.005] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Kalemci S, Sarıhan A, Zeybek A. Initial CT scan and its relationship with Covid-19. Heart Lung 2021;50:177. [PMID: 33248419 DOI: 10.1016/j.hrtlng.2020.11.001] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Luo H, Wang Y, Liu S, Chen R, Chen T, Yang Y, Wang D, Ju S. Associations between CT pulmonary opacity score on admission and clinical characteristics and outcomes in patients with COVID-19. Intern Emerg Med 2021. [PMID: 34191219 DOI: 10.1007/s11739-021-02795-9] [Reference Citation Analysis]
3 Fonseca EKUN, Assunção Júnior AN, Araujo-Filho JAB, Ferreira LC, Loureiro BMC, Strabelli DG, Farias LPG, Chate RC, Cerri GG, Sawamura MVY, Nomura CH. Lung Lesion Burden found on Chest CT as a Prognostic Marker in Hospitalized Patients with High Clinical Suspicion of COVID-19 Pneumonia: a Brazilian experience. Clinics (Sao Paulo) 2021;76:e3503. [PMID: 34878032 DOI: 10.6061/clinics/2021/e3503] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Pulgar-Sánchez M, Chamorro K, Fors M, Mora FX, Ramírez H, Fernandez-Moreira E, Ballaz SJ. Biomarkers of severe COVID-19 pneumonia on admission using data-mining powered by common laboratory blood tests-datasets. Comput Biol Med 2021;136:104738. [PMID: 34391001 DOI: 10.1016/j.compbiomed.2021.104738] [Reference Citation Analysis]
5 Salaffi F, Carotti M, Di Carlo M, Ceccarelli L, Galli M, Sarzi-Puttini P, Giovagnoni A. Predicting Severe/Critical Outcomes in Patients With SARS-CoV2 Pneumonia: Development of the prediCtion seveRe/crItical ouTcome in COVID-19 (CRITIC) Model. Front Med (Lausanne) 2021;8:695195. [PMID: 34568363 DOI: 10.3389/fmed.2021.695195] [Reference Citation Analysis]
6 Hajiahmadi S, Shayganfar A, Janghorbani M, Esfahani MM, Mahnam M, Bakhtiarvand N, Sami R, Khademi N, Dehghani M. Chest Computed Tomography Severity Score to Predict Adverse Outcomes of Patients with COVID-19. Infect Chemother 2021;53:308-18. [PMID: 34216124 DOI: 10.3947/ic.2021.0024] [Reference Citation Analysis]
7 Sait U, K V GL, Shivakumar S, Kumar T, Bhaumik R, Prajapati S, Bhalla K, Chakrapani A. A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images. Appl Soft Comput 2021;109:107522. [PMID: 34054379 DOI: 10.1016/j.asoc.2021.107522] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Skopljanac I, Ivelja MP, Barcot O, Brdar I, Dolic K, Polasek O, Radic M. Role of Lung Ultrasound in Predicting Clinical Severity and Fatality in COVID-19 Pneumonia. J Pers Med 2021;11:757. [PMID: 34442401 DOI: 10.3390/jpm11080757] [Reference Citation Analysis]
9 Khosravi B, Sorouri M, Abdollahi M, Kasaeian A, Radmard AR. Outcome prediction based on initial CT scan in COVID-19. Heart Lung 2021;50:361-2. [PMID: 33529847 DOI: 10.1016/j.hrtlng.2021.01.013] [Reference Citation Analysis]
10 Shiri I, Sorouri M, Geramifar P, Nazari M, Abdollahi M, Salimi Y, Khosravi B, Askari D, Aghaghazvini L, Hajianfar G, Kasaeian A, Abdollahi H, Arabi H, Rahmim A, Radmard AR, Zaidi H. Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. Comput Biol Med 2021;132:104304. [PMID: 33691201 DOI: 10.1016/j.compbiomed.2021.104304] [Cited by in Crossref: 14] [Cited by in F6Publishing: 6] [Article Influence: 14.0] [Reference Citation Analysis]
11 Brogna B, Bignardi E, Brogna C, Volpe M, Lombardi G, Rosa A, Gagliardi G, Capasso PFM, Gravino E, Maio F, Pane F, Picariello V, Buono M, Colucci L, Musto LA. A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia. Diagnostics (Basel) 2021;11:437. [PMID: 33806423 DOI: 10.3390/diagnostics11030437] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
12 Meyer HJ, Wienke A, Surov A. Extrapulmonary CT Findings Predict In-Hospital Mortality in COVID-19. A Systematic Review and Meta-Analysis. Acad Radiol 2022;29:17-30. [PMID: 34772618 DOI: 10.1016/j.acra.2021.10.001] [Reference Citation Analysis]