Rezultati - Xinzeng Wang

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  1. 1
    Analysis and Numerical Simulations of a Stochastic SEIQR Epidemic System with Quarantine-Adjusted Incidence and Imperfect Vaccination

    Analysis and Numerical Simulations of a Stochastic SEIQR Epidemic System with Quarantine-Adjusted Incidence and Imperfect Vaccination od Fēi Li, Xinzhu Meng, Xinzeng Wang

    Izdano 2018
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  2. 2
    Dynamics of a stochastic SIS epidemic model with nonlinear incidence rates

    Dynamics of a stochastic SIS epidemic model with nonlinear incidence rates od Ning Gao, Yi Song, Xinzeng Wang, Liu Jian-xin

    Izdano 2019
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  3. 3
    Extinction and persistence of a stochastic SIRS epidemic model with saturated incidence rate and transfer from infectious to susceptible

    Extinction and persistence of a stochastic SIRS epidemic model with saturated incidence rate and transfer from infectious to susceptible od Yi Song, Anqi Miao, Tongqian Zhang, Xinzeng Wang, Jianxin Liu

    Izdano 2018
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  4. 4
    Application of deep learning–based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time

    Application of deep learning–based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time od Malwina Kaniewska, Eva Deininger‐Czermak, Jonas M. Getzmann, Xinzeng Wang, Maélène Lohézic, Roman Guggenberger

    Izdano 2022
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  5. 5
    Deep learning-based denoising image reconstruction of body magnetic resonance imaging in children

    Deep learning-based denoising image reconstruction of body magnetic resonance imaging in children od Vanda Počepcová, Michael Zellner, Fraser M. Callaghan, Xinzeng Wang, Maélène Lohézic, Julia Geiger, Christian J. Kellenberger

    Izdano 2025
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  6. 6
    Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging

    Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging od Xinzeng Wang, Jingfei Ma, Priya Bhosale, Juan J. Ibarra Rovira, Aliya Qayyum, Jia Sun, Ersin Bayram, Janio Szklaruk

    Izdano 2021
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