11 citations · 43 across the 28 of their papers we have counts for
4 papers · 1 filter
Representation Learning with Statistical Independence to Mitigate Bias
Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum +4
Presence of bias (in datasets or tasks) is inarguably one of the most critical challenges in machine learning applications that has alluded to pivotal debates in recent years. Such…
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…