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Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural P...

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural P...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581108115

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease

About this item

Full title

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Normative modelling is an emerging method for understanding the underlying heterogeneity within brain disorders like Alzheimer Disease (AD) by quantifying how each patient deviates from the expected normative pattern that has been learned from a healthy control distribution. Since AD is a multifactorial disease with more than one biological pathway...

Alternative Titles

Full title

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2581108115

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581108115

Other Identifiers

E-ISSN

2331-8422

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