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Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements.

, , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160Q. SPIE, (2020)

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Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs., , , , and . CoRR, (2021)Advancing the AmbientGAN for learning stochastic object models., , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)Assessing regularization in tomographic imaging via hallucinations in the null space., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160Q. SPIE, (2020)Learning stochastic object model from noisy imaging measurements using AmbientGANs., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520M. SPIE, (2019)On hallucinations in tomographic image reconstruction., , , and . CoRR, (2020)