RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray

6 October 2020

Papers citing "RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray"

5 / 5 papers shown

Title
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review Hazrat Ali Zubair Shah MedIm 18 16 0 15 May 2022
Improving COVID-19 CXR Detection with Synthetic Data Augmentation Daniel Schaudt C. Kloth Christian Spaete Andreas Hinteregger Meinrad Beer R. Schwerin MedIm 22 5 0 14 Dec 2021
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne Albert Y. Zomaya FedML MedIm 36 84 0 14 Oct 2021
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 88 1,013 0 24 Mar 2020