Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease

Normative modeling is an emerging and promising approach to effectively study disorder heterogeneity in individual participants. In this study, we propose a novel normative modeling method by combining conditional variational autoencoder with adversarial learning (ACVAE) to identify brain dysfunctio...

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Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 1 - 4
Hauptverfasser:	Wang, Xuetong, Zhou, Rong, Zhao, Kanhao, Leow, Alex, Zhang, Yu, He, Lifang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.04.2023
Schlagworte:	adversarial learning Alzheimer's disease Biological system modeling Brain modeling Computational modeling conditional variational autoencoder Normative modeling Sensitivity Solid modeling Training
ISSN:	1945-8452
Online-Zugang:	Volltext
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