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...

Celý popis

Podrobná bibliografia

Vydané v:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Ročník 11765; s. 823
Hlavní autori:	Zhao, Qingyu, Adeli, Ehsan, Honnorat, Nicolas, Leng, Tuo, Pohl, Kilian M
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany 01.01.2019
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!