ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases

•Connectome autoencoder learns powerful representations of brain disease.•The dual-branch autoencoder of radiomic and connectivity features are complementary.•Brain regions and connectivity information are captured with interpretability. Exploring the dependencies between multimodal brain networks a...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 267; S. 108801
Hauptverfasser:	Zheng, Qiang, Nan, Pengzhi, Cui, Yongchao, Li, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.07.2025
Schlagworte:	Algorithms Alzheimer Disease - diagnostic imaging Autism Spectrum Disorder - diagnostic imaging Autoencoder Brain - diagnostic imaging Brain disease Brain Diseases - diagnosis Brain Diseases - diagnostic imaging Brain network Connectome - methods Deep Learning Female Humans Magnetic Resonance Imaging Male Multi-modal Radiomic features Multi-modal Radiomic features Brain disease Brain network
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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