Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis

Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample expansion, ignoring the mining of individual information and the...

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Vydané v:	IEEE transactions on neural systems and rehabilitation engineering Ročník 33; s. 1550 - 1561
Hlavní autori:	Li, Yueying, Zhang, Xiaotong, Guan, Shihan, Ma, Guolin, Kong, Youyong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2025
Predmet:	Adolescent Algorithms Attention Deficit Disorder with Hyperactivity - diagnosis Autism Spectrum Disorder - diagnosis Autoencoder Autoencoders Brain modeling Brain network Child Data models Decoding Diseases Electroencephalography Female functional connectivity Functional magnetic resonance imaging graph convolutional network Humans Image edge detection Image reconstruction Imaging Machine Learning Male Medical diagnosis Neural Networks, Computer neurodevelopmental disorder diagnosis Neurodevelopmental Disorders - diagnosis population diseases diagnosis
ISSN:	1534-4320, 1558-0210, 1558-0210
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