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Exploiting the Generative Adversarial Network Approach to Create a
  Synthetic Topography Corneal Image

Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image

25 December 2022
S. Jameel
S. Aydin
N. Ghaeb
Jafar Majidpour
Tarik A. Rashid
Sinan Q. Salih
P. S. JosephNg
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image"

4 / 4 papers shown
Title
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional
  Text-to-Image GANs
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
Zhenxing Zhang
Lambert Schomaker
39
5
0
25 Feb 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,455
0
21 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
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