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Journal Abstract Search

553 related items for PubMed ID: 33039785

  • 1. Latent Dirichlet allocation based generative adversarial networks.
    Pan L, Cheng S, Liu J, Tang P, Wang B, Ren Y, Xu Z.
    Neural Netw; 2020 Dec; 132():461-476. PubMed ID: 33039785
    [Abstract] [Full Text] [Related]

  • 2. Generative adversarial networks with decoder-encoder output noises.
    Zhong G, Gao W, Liu Y, Yang Y, Wang DH, Huang K.
    Neural Netw; 2020 Jul; 127():19-28. PubMed ID: 32315932
    [Abstract] [Full Text] [Related]

  • 3. Optimizing Latent Distributions for Non-Adversarial Generative Networks.
    Guo T, Xu C, Shi B, Xu C, Tao D.
    IEEE Trans Pattern Anal Mach Intell; 2022 May; 44(5):2657-2672. PubMed ID: 33301400
    [Abstract] [Full Text] [Related]

  • 4. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
    Wang Y, Yu B, Wang L, Zu C, Lalush DS, Lin W, Wu X, Zhou J, Shen D, Zhou L.
    Neuroimage; 2018 Jul 01; 174():550-562. PubMed ID: 29571715
    [Abstract] [Full Text] [Related]

  • 5. Investigating object compositionality in Generative Adversarial Networks.
    van Steenkiste S, Kurach K, Schmidhuber J, Gelly S.
    Neural Netw; 2020 Oct 01; 130():309-325. PubMed ID: 32736226
    [Abstract] [Full Text] [Related]

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  • 7. Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
    Liu F, Xu M, Li G, Pei J, Shi L, Zhao R.
    Neural Netw; 2021 Jan 01; 133():148-156. PubMed ID: 33217683
    [Abstract] [Full Text] [Related]

  • 8. Retinal image synthesis from multiple-landmarks input with generative adversarial networks.
    Yu Z, Xiang Q, Meng J, Kou C, Ren Q, Lu Y.
    Biomed Eng Online; 2019 May 21; 18(1):62. PubMed ID: 31113438
    [Abstract] [Full Text] [Related]

  • 9. Generative adversarial networks with mixture of t-distributions noise for diverse image generation.
    Sun J, Zhong G, Chen Y, Liu Y, Li T, Huang K.
    Neural Netw; 2020 Feb 21; 122():374-381. PubMed ID: 31765986
    [Abstract] [Full Text] [Related]

  • 10. Generative Adversarial Networks in Medical Image Processing.
    Gong M, Chen S, Chen Q, Zeng Y, Zhang Y.
    Curr Pharm Des; 2021 Feb 21; 27(15):1856-1868. PubMed ID: 33238866
    [Abstract] [Full Text] [Related]

  • 11. Generative convolution layer for image generation.
    Park S, Shin YG.
    Neural Netw; 2022 Aug 21; 152():370-379. PubMed ID: 35605302
    [Abstract] [Full Text] [Related]

  • 12. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.
    Zhang H, Xu T, Li H, Zhang S, Wang X, Huang X, Metaxas DN.
    IEEE Trans Pattern Anal Mach Intell; 2019 Aug 21; 41(8):1947-1962. PubMed ID: 30010548
    [Abstract] [Full Text] [Related]

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  • 15. Generative Adversarial Networks: A Primer for Radiologists.
    Wolterink JM, Mukhopadhyay A, Leiner T, Vogl TJ, Bucher AM, Išgum I.
    Radiographics; 2021 Aug 21; 41(3):840-857. PubMed ID: 33891522
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  • 17. A survey on generative adversarial networks for imbalance problems in computer vision tasks.
    Sampath V, Maurtua I, Aguilar Martín JJ, Gutierrez A.
    J Big Data; 2021 Aug 21; 8(1):27. PubMed ID: 33552840
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  • 19. Generative Adversarial Networks in Cardiology.
    Skandarani Y, Lalande A, Afilalo J, Jodoin PM.
    Can J Cardiol; 2022 Feb 21; 38(2):196-203. PubMed ID: 34780990
    [Abstract] [Full Text] [Related]

  • 20. Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.
    Huang K, Li M, Yu J, Miao J, Hu Z, Yuan S, Chen Q.
    Comput Methods Programs Biomed; 2023 Feb 21; 229():107306. PubMed ID: 36580822
    [Abstract] [Full Text] [Related]

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