Cargando…
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI
Resting-state functional MRI (rs-fMRI) has been widely used for the early diagnosis of autism spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are usually constructed for representing each subject, with each element representing the pairwise relationship between bra...
Autores principales: | Chu, Ying, Wang, Guangyu, Cao, Liang, Qiao, Lishan, Liu, Mingxia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792610/ https://www.ncbi.nlm.nih.gov/pubmed/35095453 http://dx.doi.org/10.3389/fninf.2021.802305 |
Ejemplares similares
-
Resting-State Functional MRI Adaptation with Attention Graph Convolution Network for Brain Disorder Identification
por: Chu, Ying, et al.
Publicado: (2022) -
Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection
por: Wang, Xiaochuan, et al.
Publicado: (2023) -
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
por: Yousefian, Ali, et al.
Publicado: (2023) -
A Multi-Task Representation Learning Architecture for Enhanced Graph Classification
por: Xie, Yu, et al.
Publicado: (2020) -
Learning to Fuse Multiple Brain Functional Networks for Automated Autism Identification
por: Zhang, Chaojun, et al.
Publicado: (2023)