Al-Shourbaji, I.;                     Kachare, P.H.;                     Abualigah, L.;                     Abdelhag, M.E.;                     Elnaim, B.;                     Anter, A.M.;                     Gandomi, A.H.    
        A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images. Pathogens 2023, 12, 17.
    https://doi.org/10.3390/pathogens12010017
    AMA Style
    
                                Al-Shourbaji I,                                 Kachare PH,                                 Abualigah L,                                 Abdelhag ME,                                 Elnaim B,                                 Anter AM,                                 Gandomi AH.        
                A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images. Pathogens. 2023; 12(1):17.
        https://doi.org/10.3390/pathogens12010017
    
    Chicago/Turabian Style
    
                                Al-Shourbaji, Ibrahim,                                 Pramod H. Kachare,                                 Laith Abualigah,                                 Mohammed E. Abdelhag,                                 Bushra Elnaim,                                 Ahmed M. Anter,                                 and Amir H. Gandomi.        
                2023. "A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images" Pathogens 12, no. 1: 17.
        https://doi.org/10.3390/pathogens12010017
    
    APA Style
    
                                Al-Shourbaji, I.,                                 Kachare, P. H.,                                 Abualigah, L.,                                 Abdelhag, M. E.,                                 Elnaim, B.,                                 Anter, A. M.,                                 & Gandomi, A. H.        
        
        (2023). A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images. Pathogens, 12(1), 17.
        https://doi.org/10.3390/pathogens12010017