Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer’s Disease
Author:
Affiliation:
1. Lehigh University,Department of Computer Science and Engineering,PA,USA
2. Lehigh University,Department of Bioengineering,PA,USA
3. University of Illinois at Chicago,Department of Psychiatry,IL,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230377.pdf?arnumber=10230377
Reference12 articles.
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2. Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech;kim;ICML PMLR,2021
3. Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and alzheimer’s disease;pinaya;BioRxiv,2020
4. fMRIPrep: a robust preprocessing pipeline for functional MRI
5. Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study
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