Alves, Caroline Lourenço; Pineda, Aruane Mello 
; Roster, Kirstin ; Thielemann, Christiane ; Rodrigues, Francisco Aparecido
Fonte: Journal of Physics: Complexity. Unidade: ICMC
Assuntos: TRANSTORNOS MENTAIS, ALGORITMOS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ALVES, Caroline Lourenço et al. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, v. 3, n. 2, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac5f8d. Acesso em: 08 out. 2025.APA
Alves, C. L., Pineda, A. M., Roster, K., Thielemann, C., & Rodrigues, F. A. (2022). EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, 3( 2), 1-13. doi:10.1088/2632-072X/ac5f8dNLM
Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8dVancouver
Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8d
