24 citations · 34 across the 2 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2022★ 10 cited
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Usama Tariq, Rizwan Qureshi, Anas Zafar +5
Generative models have been very successful over the years and have received significant attention for synthetic data generation. As deep learning models are getting more and more…
eess.IV2022★ 24 cited
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
Hazrat Ali, Zubair Shah
This review presents a comprehensive study on the role of GANs in addressing the challenges related to COVID-19 data scarcity and diagnosis. It is the first review that summarizes…