A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

Brain connectivity alterations associated with mental disorders have been widely reported in both functional MRI (fMRI) and diffusion MRI (dMRI). However, extracting useful information from the vast amount of information afforded by brain networks remains a great challenge. Capturing network topolog...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 40; no. 4; pp. 1279 - 1289
Main Authors:	Yao, Dongren, Sui, Jing, Wang, Mingliang, Yang, Erkun, Jiaerken, Yeerfan, Luo, Na, Yap, Pew-Thian, Liu, Mingxia, Shen, Dinggang
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Brain Brain - diagnostic imaging Brain connectivity Brain Diseases Brain mapping Brain modeling Classification Convolution Diseases Functional magnetic resonance imaging Fuses graph convolutional network Humans Learning Magnetic Resonance Imaging Mental disorders Network topologies Neural networks Neuroimaging Representations Structure-function relationships Topology triplet White matter
ISSN:	0278-0062, 1558-254X, 1558-254X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!