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Journal Abstract Search

359 related items for PubMed ID: 33613111

  • 1.
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  • 2. CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS.
    Liu H, Ren H, Wu Z, Xu H, Zhang S, Li J, Hou L, Chi R, Zheng H, Chen Y, Duan S, Li H, Xie Z, Wang D.
    J Transl Med; 2021 Jan 07; 19(1):29. PubMed ID: 33413480
    [Abstract] [Full Text] [Related]

  • 3. Comparison of Chest CT Findings of COVID-19, Influenza, and Organizing Pneumonia: A Multireader Study.
    Garrana SH, Som A, Ndakwah GS, Yeung T, Febbo J, Heeger AP, Lang M, McDermott S, Mendoza DP, Zhang EW, Sharma A, Narayan AK, Little BP.
    AJR Am J Roentgenol; 2021 Nov 07; 217(5):1093-1102. PubMed ID: 33852360
    [Abstract] [Full Text] [Related]

  • 4. CT Manifestations of Coronavirus Disease (COVID-19) Pneumonia and Influenza Virus Pneumonia: A Comparative Study.
    Lin L, Fu G, Chen S, Tao J, Qian A, Yang Y, Wang M.
    AJR Am J Roentgenol; 2021 Jan 07; 216(1):71-79. PubMed ID: 32755175
    [Abstract] [Full Text] [Related]

  • 5. CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia.
    Huang Y, Zhang Z, Liu S, Li X, Yang Y, Ma J, Li Z, Zhou J, Jiang Y, He B.
    BMC Med Imaging; 2021 Feb 17; 21(1):31. PubMed ID: 33596844
    [Abstract] [Full Text] [Related]

  • 6. Thorax computed tomography (CTX) guided ground truth annotation of CHEST radiographs (CXR) for improved classification and detection of COVID-19.
    Ertürk ŞM, Toprak T, Cömert RG, Candemir C, Cingöz E, Akyol Sari ZN, Ercan CC, Düvek E, Ersoy B, Karapinar E, Tunaci A, Selver MA.
    Int J Numer Method Biomed Eng; 2024 Jun 17; 40(6):e3823. PubMed ID: 38587026
    [Abstract] [Full Text] [Related]

  • 7. End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT.
    Song J, Wang H, Liu Y, Wu W, Dai G, Wu Z, Zhu P, Zhang W, Yeom KW, Deng K.
    Eur J Nucl Med Mol Imaging; 2020 Oct 17; 47(11):2516-2524. PubMed ID: 32567006
    [Abstract] [Full Text] [Related]

  • 8. Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.
    Li L, Qin L, Xu Z, Yin Y, Wang X, Kong B, Bai J, Lu Y, Fang Z, Song Q, Cao K, Liu D, Wang G, Xu Q, Fang X, Zhang S, Xia J, Xia J.
    Radiology; 2020 Aug 17; 296(2):E65-E71. PubMed ID: 32191588
    [No Abstract] [Full Text] [Related]

  • 9. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.
    Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH.
    Radiology; 2020 Sep 17; 296(3):E156-E165. PubMed ID: 32339081
    [No Abstract] [Full Text] [Related]

  • 10. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
    Jin C, Chen W, Cao Y, Xu Z, Tan Z, Zhang X, Deng L, Zheng C, Zhou J, Shi H, Feng J.
    Nat Commun; 2020 Oct 09; 11(1):5088. PubMed ID: 33037212
    [Abstract] [Full Text] [Related]

  • 11. COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.
    Zargari Khuzani A, Heidari M, Shariati SA.
    Sci Rep; 2021 May 10; 11(1):9887. PubMed ID: 33972584
    [Abstract] [Full Text] [Related]

  • 12. Combining initial chest CT with clinical variables in differentiating coronavirus disease 2019 (COVID-19) pneumonia from influenza pneumonia.
    Zhao S, Huang Z, Zeng H, Chen Z, Luo F, Zhang C, Song B.
    Sci Rep; 2021 Mar 19; 11(1):6422. PubMed ID: 33742041
    [Abstract] [Full Text] [Related]

  • 13. Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19.
    Hwang EJ, Kim H, Yoon SH, Goo JM, Park CM.
    Korean J Radiol; 2020 Oct 19; 21(10):1150-1160. PubMed ID: 32729263
    [Abstract] [Full Text] [Related]

  • 14. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
    V J S, D JF.
    Comput Math Methods Med; 2021 Oct 19; 2021():9269173. PubMed ID: 34795794
    [Abstract] [Full Text] [Related]

  • 15. Feasibility of Radiomics to Differentiate Coronavirus Disease 2019 (COVID-19) from H1N1 Influenza Pneumonia on Chest Computed Tomography: A Proof of Concept.
    Tabatabaei M, Tasorian B, Goyal M, Moini A, Sotoudeh H.
    Iran J Med Sci; 2021 Nov 19; 46(6):420-427. PubMed ID: 34840382
    [Abstract] [Full Text] [Related]

  • 16. Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
    Wu X, Hui H, Niu M, Li L, Wang L, He B, Yang X, Li L, Li H, Tian J, Zha Y.
    Eur J Radiol; 2020 Jul 19; 128():109041. PubMed ID: 32408222
    [Abstract] [Full Text] [Related]

  • 17. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
    Pereira RM, Bertolini D, Teixeira LO, Silla CN, Costa YMG.
    Comput Methods Programs Biomed; 2020 Oct 19; 194():105532. PubMed ID: 32446037
    [Abstract] [Full Text] [Related]

  • 18. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.
    Yang Y, Lure FYM, Miao H, Zhang Z, Jaeger S, Liu J, Guo L.
    J Xray Sci Technol; 2021 Oct 19; 29(1):1-17. PubMed ID: 33164982
    [Abstract] [Full Text] [Related]

  • 19. A Comparison of Clinical and Chest CT Findings in Patients With Influenza A (H1N1) Virus Infection and Coronavirus Disease (COVID-19).
    Yin Z, Kang Z, Yang D, Ding S, Luo H, Xiao E.
    AJR Am J Roentgenol; 2020 Nov 19; 215(5):1065-1071. PubMed ID: 32452731
    [Abstract] [Full Text] [Related]

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