Cepeda, S.;                     PĂ©rez-Nuñez, A.;                     GarcĂa-GarcĂa, S.;                     GarcĂa-PĂ©rez, D.;                     Arrese, I.;                     JimĂ©nez-Roldán, L.;                     GarcĂa-Galindo, M.;                     González, P.;                     Velasco-Casares, M.;                     Zamora, T.;     
    et al.    Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI. Cancers 2021, 13, 5047.
    https://doi.org/10.3390/cancers13205047
    AMA Style
    
                                Cepeda S,                                 PĂ©rez-Nuñez A,                                 GarcĂa-GarcĂa S,                                 GarcĂa-PĂ©rez D,                                 Arrese I,                                 JimĂ©nez-Roldán L,                                 GarcĂa-Galindo M,                                 González P,                                 Velasco-Casares M,                                 Zamora T,         
        et al.        Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI. Cancers. 2021; 13(20):5047.
        https://doi.org/10.3390/cancers13205047
    
    Chicago/Turabian Style
    
                                Cepeda, Santiago,                                 Angel PĂ©rez-Nuñez,                                 Sergio GarcĂa-GarcĂa,                                 Daniel GarcĂa-PĂ©rez,                                 Ignacio Arrese,                                 Luis JimĂ©nez-Roldán,                                 Manuel GarcĂa-Galindo,                                 Pedro González,                                 MarĂa Velasco-Casares,                                 Tomas Zamora,         
         and et al.        2021. "Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI" Cancers 13, no. 20: 5047.
        https://doi.org/10.3390/cancers13205047
    
    APA Style
    
                                Cepeda, S.,                                 PĂ©rez-Nuñez, A.,                                 GarcĂa-GarcĂa, S.,                                 GarcĂa-PĂ©rez, D.,                                 Arrese, I.,                                 JimĂ©nez-Roldán, L.,                                 GarcĂa-Galindo, M.,                                 González, P.,                                 Velasco-Casares, M.,                                 Zamora, T.,                                 & Sarabia, R.        
        
        (2021). Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI. Cancers, 13(20), 5047.
        https://doi.org/10.3390/cancers13205047