This paper is in the following e-collection/theme issue:

Imaging Informatics (280) JMIR Theme Issue: COVID-19 Special Issue (2531) Reviews in Medical Informatics (106) Theme Issue: Medical Informatics and COVID-19 (122) Machine Learning (1961)

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
Article Authors Cited by (16) Tweetations (12) Metrics

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;2(1):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
  6. Kawata N, Iwao Y, Matsuura Y, Higashide T, Okamoto T, Sekiguchi Y, Nagayoshi M, Takiguchi Y, Suzuki T, Haneishi H. Generation of short-term follow-up chest CT images using a latent diffusion model in COVID-19. Japanese Journal of Radiology 2024 View
  7. Rujas M, Martín Gómez del Moral Herranz R, Fico G, Merino-Barbancho B. Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications. International Journal of Medical Informatics 2025;195:105763 View
  8. Navarro Ballester A, Merino Bonilla J, Ros Mendoza L, Álvaro Ballester R, Marco Doménech S. La radiología como pilar de la investigación COVID-19 basada en IA: perspectivas de un análisis bibliométrico diverso. Radiología 2025:101651 View
  9. Rafiq M, Ali H, Mujtaba G, Shah Z, Azmat S. Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2025;13(1) View
  10. S. Anand S, Kini S. Deep Learning Approach for ASD Detection with GAN-Driven MRI Data Augmentation. International Journal of Management, Technology, and Social Sciences 2025:78 View
  11. Güvenç E, Ersoy M, Çetin G. Deep Learning-based Automated Segmentation of Brain Tumors using Synthetic MR Images Generated with DCGAN. Computer Standards & Interfaces 2025:104054 View
  12. Uddin M, Arfeen S, Alanazi F, Hussain S, Mazhar T, Arafatur Rahman M. A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions. Archives of Computational Methods in Engineering 2025 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

Conference Proceedings

  1. Kumar V, K S, Guputa R. 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC). Retracted: Enhancing Medical Imaging Diagnosis with Generative Adversarial Network View
  2. Kumar S, Krishnamoorthy R, Guputa R. 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC). Retracted: Generative Adversarial Networks for Generating Synthetic Medical Images View