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Combating COVID-19 using Generative Adversarial Networks and Artificial
  Intelligence for Medical Images: A Scoping Review

Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review

15 May 2022
Hazrat Ali
Zubair Shah
    MedIm
ArXivPDFHTML

Papers citing "Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review"

6 / 6 papers shown
Title
Cross Modality Medical Image Synthesis for Improving Liver Segmentation
Muhammad Rafiq
Hazrat Ali
G. Mujtaba
Zubair Shah
Shoaib Azmat
GAN
MedIm
44
0
0
02 Mar 2025
A Trustworthy Framework for Medical Image Analysis with Deep Learning
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Kai Ma
Siyuan He
Pengcheng Xi
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
MedIm
27
1
0
06 Dec 2022
Evaluating the Quality and Diversity of DCGAN-based Generatively
  Synthesized Diabetic Retinopathy Imagery
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery
Cristina-Madalina Dragan
Muhammad Muneeb Saad
M. H. Rehmani
Ruairi O'Reilly
EGVM
MedIm
35
4
0
10 Aug 2022
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
76
80
0
26 Apr 2021
Signal Propagation in a Gradient-Based and Evolutionary Learning System
Signal Propagation in a Gradient-Based and Evolutionary Learning System
J. Toutouh
Una-May O’Reilly
GAN
16
10
0
10 Feb 2021
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image
  Translation
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
H. Zunair
A. Ben Hamza
MedIm
40
38
0
20 Oct 2020
1