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Weimin Zhou

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Unsupervised Generation of Pseudo Normal PET from MRI with Diffusion Model for Epileptic Focus Localization

Feb 02, 2024
Wentao Chen, Jiwei Li, Xichen Xu, Hui Huang, Siyu Yuan, Miao Zhang, Tianming Xu, Jie Luo, Weimin Zhou

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Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data

Feb 02, 2024
Wentao Chen, Xichen Xu, Jie Luo, Weimin Zhou

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AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements

Feb 02, 2024
Xichen Xu, Wentao Chen, Weimin Zhou

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Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks

Apr 02, 2023
Weimin Zhou, Umberto Villa, Mark A. Anastasio

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A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise

Jan 28, 2022
Weimin Zhou, Miguel P. Eckstein

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Supervised Learning-Enabled Ideal Observer Approximation for Joint Detection and Estimation Tasks

Oct 22, 2021
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio

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Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs

Jun 27, 2021
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio

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Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks

Apr 28, 2021
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio

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Advancing the AmbientGAN for learning stochastic object models

Jan 30, 2021
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio

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Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

May 29, 2020
Weimin Zhou, Hua Li, Mark A. Anastasio

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