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20202025
most citedLearning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

15 citations · 27 across the 11 of their papers we have counts for

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cs.CV2021

A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context

Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks

Deep generative models (DGMs) have the potential to revolutionize diagnostic imaging. Generative adversarial networks (GANs) are one kind of DGM which are widely employed. The over…