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

, , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 113160Q. SPIE, (2020)

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Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements., , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 113160Q. SPIE, (2020)Learning stochastic object model from noisy imaging measurements using AmbientGANs., , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10952 из SPIE Proceedings, стр. 109520M. SPIE, (2019)Assessing regularization in tomographic imaging via hallucinations in the null space., , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11599 из SPIE Proceedings, SPIE, (2021)Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging., , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)Evaluating generative stochastic image models using task-based image quality measures., , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12467 из SPIE Proceedings, SPIE, (2023)Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images., , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)On hallucinations in tomographic image reconstruction., , , и . CoRR, (2020)A method for evaluating deep generative models of images for hallucinations in high-order spatial context., , и . Pattern Recognit. Lett., (2024)Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs., , , , и . CoRR, (2021)Advancing the AmbientGAN for learning stochastic object models., , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11599 из SPIE Proceedings, SPIE, (2021)