Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising

Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive functional neuroimaging modality that has been widely used to investigate functional connectomes in the brain. Since noise and artifacts generated by non-neuronal physiological activities are predominant in raw rs-fMRI d...

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Detalhes bibliográficos
Main Authors: Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2022-07-01
Colecção:NeuroImage
Assuntos:
Resting-state fMRI
Denoising
Deep learning
Convolutional neural network
Independent component analysis
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1053811922002555
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