Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders
Author:
Affiliation:
1. Washington University in St. Louis,Department of Computer Science and Engineering,USA
2. Institute for Informatics, Data Science and Biostatistics, Washington University in St.Louis,USA
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635897.pdf?arnumber=10635897
Reference21 articles.
1. Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers
2. Conceptualizing mental disorders as deviations from normative functioning
3. Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease
4. Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities
5. Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study
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