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Variational AutoEncoder For Regression: Application to Brain Aging Analysis

While unsupervised variational autoencoders (VAE) have become a powerful tool in neuroimage analysis, their application to supervised learning is under-explored. We aim to close this gap by proposing a unified probabilistic model for learning the latent space of imaging data and performing supervise...

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Detalhes bibliográficos
Publicado no:Med Image Comput Comput Assist Interv
Main Authors: Zhao, Qingyu, Adeli, Ehsan, Honnorat, Nicolas, Leng, Tuo, Pohl, Kilian M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7377006/
https://ncbi.nlm.nih.gov/pubmed/32705091
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32245-8_91
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