Safakish, A.;                     Sannachi, L.;                     Moslemi, A.;                     Pejović-Milić, A.;                     Czarnota, G.J.    
        Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation 2024, 4, 50-68.
    https://doi.org/10.3390/radiation4010005
    AMA Style
    
                                Safakish A,                                 Sannachi L,                                 Moslemi A,                                 Pejović-Milić A,                                 Czarnota GJ.        
                Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation. 2024; 4(1):50-68.
        https://doi.org/10.3390/radiation4010005
    
    Chicago/Turabian Style
    
                                Safakish, Aryan,                                 Lakshmanan Sannachi,                                 Amir Moslemi,                                 Ana Pejović-Milić,                                 and Gregory J. Czarnota.        
                2024. "Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach" Radiation 4, no. 1: 50-68.
        https://doi.org/10.3390/radiation4010005
    
    APA Style
    
                                Safakish, A.,                                 Sannachi, L.,                                 Moslemi, A.,                                 Pejović-Milić, A.,                                 & Czarnota, G. J.        
        
        (2024). Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation, 4(1), 50-68.
        https://doi.org/10.3390/radiation4010005