38 citations · 42 across the 2 of their papers we have counts for
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eess.IV2023
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging
McKell Woodland, John Wood, Caleb O'Connor +2
One barrier to the clinical deployment of deep learning-based models is the presence of images at runtime that lie far outside the training distribution of a given model. We aim to…
eess.IV2022★ 38 cited
Evaluating the Performance of StyleGAN2-ADA on Medical Images
McKell Woodland, John Wood, Brian M. Anderson +12
Although generative adversarial networks (GANs) have shown promise in medical imaging, they have four main limitations that impeded their utility: computational cost, data requirem…