41 citations · 50 across the 5 of their papers we have counts for
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eess.IV2023★ 3 cited
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Zelong Liu, Alexander Zhou, Arnold Yang +10
Deep learning in medical imaging often requires large-scale, high-quality data or initiation with suitably pre-trained weights. However, medical datasets are limited by data availa…
eess.IV2023★ 41 cited
Generative AI for Medical Imaging: extending the MONAI Framework
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot +21
Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to he…