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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Bibliographic Details

Published in:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 11765; p. 823
Main Authors:	Zhao, Qingyu, Adeli, Ehsan, Honnorat, Nicolas, Leng, Tuo, Pohl, Kilian M
Format:	Journal Article
Language:	English
Published:	Germany 01.01.2019
Online Access:	Get more information
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