Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. (arXiv:2211.08982v1 [cs.LG])

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 dysfunction in
Alzheimer's Disease (AD). Specifically, we first train a conditional VAE on the
healthy control (HC) group to create a normative model conditioned on
covariates like age, gender and intracranial volume. Then we incorporate an
adversarial training process to construct a …

alzheimer's arxiv autoencoder brain disease identify modeling