Source: Human Brain Mapping. Unidade: FFCLRP
Subjects: CÉREBRO, DIAGNÓSTICO POR IMAGEM, INTELIGÊNCIA, RESSONÂNCIA MAGNÉTICA, REDE NERVOSA
ABNT
VIEIRA, Bruno Hebling et al. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI. Human Brain Mapping, v. 42, n. 18, p. 5873-5887, 2021Tradução . . Disponível em: https://doi.org/10.1002/hbm.25656. Acesso em: 16 out. 2024.APA
Vieira, B. H., Dubois, J., Calhoun, V. D., & Salmon, C. E. G. (2021). A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI. Human Brain Mapping, 42( 18), 5873-5887. doi:10.1002/hbm.25656NLM
Vieira BH, Dubois J, Calhoun VD, Salmon CEG. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI [Internet]. Human Brain Mapping. 2021 ; 42( 18): 5873-5887.[citado 2024 out. 16 ] Available from: https://doi.org/10.1002/hbm.25656Vancouver
Vieira BH, Dubois J, Calhoun VD, Salmon CEG. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI [Internet]. Human Brain Mapping. 2021 ; 42( 18): 5873-5887.[citado 2024 out. 16 ] Available from: https://doi.org/10.1002/hbm.25656