activity
20152022
most citedNuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images

14 citations · 31 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 11 cited

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…

cs.LG2019★ 3 cited

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…