ROI-Based Multimodal Neuroimaging Feature Fusion Method and Its Graph Neural Network Diagnostic Model

Single-modality neuroimaging data often provide limited information and are constrained by technical issues such as signal-to-noise ratio, and resolution limitations, potentially leading to biases and an incomplete understanding of brain complexities. This can hinder the development of diagnostic an...

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Vydané v:	IEEE access Ročník 13; s. 26915 - 26926
Hlavní autori:	Wang, Xuan, Yang, Xiaopeng, Zhang, Xiaotong, Chen, Yang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Brain Brain modeling Classification Data models Diagnostic systems Feature extraction feature fusion feature matrix based on ROIs Graph neural networks Graphical representations Grey matter Medical imaging Multimodal neuroimaging data Multimodal sensors Neuroimaging Signal to noise ratio Sociology
ISSN:	2169-3536, 2169-3536
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