Filippini, C.;                     Cardone, D.;                     Perpetuini, D.;                     Chiarelli, A.M.;                     Gualdi, G.;                     Amerio, P.;                     Merla, A.    
        Convolutional Neural Networks for Differential Diagnosis of Raynaud’s Phenomenon Based on Hands Thermal Patterns. Appl. Sci. 2021, 11, 3614.
    https://doi.org/10.3390/app11083614
    AMA Style
    
                                Filippini C,                                 Cardone D,                                 Perpetuini D,                                 Chiarelli AM,                                 Gualdi G,                                 Amerio P,                                 Merla A.        
                Convolutional Neural Networks for Differential Diagnosis of Raynaud’s Phenomenon Based on Hands Thermal Patterns. Applied Sciences. 2021; 11(8):3614.
        https://doi.org/10.3390/app11083614
    
    Chicago/Turabian Style
    
                                Filippini, Chiara,                                 Daniela Cardone,                                 David Perpetuini,                                 Antonio Maria Chiarelli,                                 Giulio Gualdi,                                 Paolo Amerio,                                 and Arcangelo Merla.        
                2021. "Convolutional Neural Networks for Differential Diagnosis of Raynaud’s Phenomenon Based on Hands Thermal Patterns" Applied Sciences 11, no. 8: 3614.
        https://doi.org/10.3390/app11083614
    
    APA Style
    
                                Filippini, C.,                                 Cardone, D.,                                 Perpetuini, D.,                                 Chiarelli, A. M.,                                 Gualdi, G.,                                 Amerio, P.,                                 & Merla, A.        
        
        (2021). Convolutional Neural Networks for Differential Diagnosis of Raynaud’s Phenomenon Based on Hands Thermal Patterns. Applied Sciences, 11(8), 3614.
        https://doi.org/10.3390/app11083614