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Analyzing neural networks applied to an anatomical simulation of the breast.

, , , , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)

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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)Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks., and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160D. 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)Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks., , , and . IEEE Trans. Medical Imaging, 40 (9): 2295-2305 (2021)Autoencoder embedding of task-specific information., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095207. SPIE, (2019)Learning efficient channels with a dual loss autoencoder., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160C. SPIE, (2020)Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data., , , and . CoRR, (2024)Image Super-Resolution Reconstruction of Landslide Based on Real-ESRGAN., and . CCEAI, page 203-208. ACM, (2024)A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods., , , and . IEEE Trans. Medical Imaging, 41 (5): 1114-1124 (2022)AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements., , and . CoRR, (2024)