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Advancing the AmbientGAN for learning stochastic object models

Advancing the AmbientGAN for learning stochastic object models

30 January 2021
Weimin Zhou
Sayantan Bhadra
F. Brooks
Jason L. Granstedt
Hua Li
M. Anastasio
    GAN
    MedIm
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Papers citing "Advancing the AmbientGAN for learning stochastic object models"

3 / 3 papers shown
Title
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with
  Generative Adversarial Networks
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
Weimin Zhou
Umberto Villa
M. Anastasio
24
7
0
02 Apr 2023
Learning stochastic object models from medical imaging measurements by
  use of advanced ambient generative adversarial networks
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
GAN
MedIm
25
17
0
27 Jun 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,378
0
12 Dec 2018
1