11 citations · 38 across the 30 of their papers we have counts for
3 papers · 2 filters
Confounder-Aware Visualization of ConvNets
Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum +2
With recent advances in deep learning, neuroimaging studies increasingly rely on convolutional networks (ConvNets) to predict diagnosis based on MR images. To gain a better underst…
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat +2
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 th…
Truncated Gaussian-Mixture Variational AutoEncoder
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli +1
Variation Autoencoder (VAE) has become a powerful tool in modeling the non-linear generative process of data from a low-dimensional latent space. Recently, several studies have pro…