Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37365, first published .
Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

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

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

Authors of this article:

Hazrat Ali1 Author Orcid Image ;   Zubair Shah1 Author Orcid Image

Journals

  1. Vitente A, Lazaro R, Escuadra C, Regino J, Rotor E. Editorial: The Use of Artificial Intelligence (AI)-Assisted Technologies in Scientific Discourse. Philippine Journal of Physical Therapy 2023:1 View
  2. Ng C. Generative Adversarial Network (Generative Artificial Intelligence) in Pediatric Radiology: A Systematic Review. Children 2023;10(8):1372 View
  3. Yerlikaya S, Broger T, Isaacs C, Bell D, Holtgrewe L, Gupta-Wright A, Nahid P, Cattamanchi A, Denkinger C. Blazing the trail for innovative tuberculosis diagnostics. Infection 2024;52(1):29 View
  4. Khalili H, Wimmer M. Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic. Life 2024;14(7):783 View
  5. Hatami M, Yaghmaee F, Ebrahimpour R. Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning. Biomedical Signal Processing and Control 2025;100:106920 View

Books/Policy Documents

  1. Dragan C, Saad M, Rehmani M, O’Reilly R. Advances in Deep Generative Models for Medical Artificial Intelligence. View
  2. Knutsen L, David Patón-Romero J, Hannay J, Tanilkan S. Proceedings of World Conference on Information Systems for Business Management. View