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Scalable Modeling of Spatiotemporal Data using the Variational
  Autoencoder: an Application in Glaucoma

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma

24 August 2019
S. Berchuck
Felipe A. Medeiros
S. Mukherjee
    BDL
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Papers citing "Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma"

2 / 2 papers shown
Title
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head
  Using Artificial Intelligence
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence
S. Panda
Haris Cheong
T. A. Tun
Sripad K. Devella
R. Krishnadas
...
S. Perera
Ching-Yu Cheng
Tin Aung
Alexandre Hoang Thiery
M. Girard
22
32
0
17 Dec 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
180
1,941
0
24 Oct 2016
1