Search Results - "adversarial autoencoder network"

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  1. 1

    Adversarial Autoencoder Network for Hyperspectral Unmixing by Jin, Qiwen, Ma, Yong, Fan, Fan, Huang, Jun, Mei, Xiaoguang, Ma, Jiayi

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.08.2023
    “…Spectral unmixing (SU), which refers to extracting basic features (i.e., endmembers) at the subpixel level and calculating the corresponding proportion (i.e.,…”
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    Journal Article
  2. 2

    Spectral-spatial adversarial network for nonlinear hyperspectral unmixing of imbalanced datasets by Yang, Xu, Chen, Jianguo, Chen, Zihao

    ISSN: 1569-8432
    Published: Elsevier 01.09.2023
    “…With its successful application in various fields, hyperspectral unmixing (HU) technology has received extensive attention in remote sensing processing…”
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    Journal Article
  3. 3

    Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability by Zhang, Chunjie, Zuo, Renguang

    ISSN: 1874-8961, 1874-8953
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024
    Published in Mathematical geosciences (01.08.2024)
    “…Effective geochemical anomaly identification is crucial in mineral exploration. Recent trends have favored deep learning (DL) to decipher geochemical survey…”
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    Journal Article
  4. 4

    Limited-View Cone-Beam CT Reconstruction Based on an Adversarial Autoencoder Network With Joint Loss by Dai, Xiubin, Bai, Jianan, Liu, Tianliang, Xie, Lizhe

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “…Limiting scan views is an efficient way to reduce radiation doses in the cone-beam computed tomography (CBCT) examinations, which unfortunately degrades the…”
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    Journal Article
  5. 5

    Unsupervised Facial Image Synthesis Using Two-Discriminator Adversarial Autoencoder Network by Wu, Xuehui, Shao, Jie, Zhang, Dongyang, Chen, Junming

    ISSN: 1945-788X
    Published: IEEE 01.07.2019
    “…Recent years have witnessed the unprecedented success in single image synthesis by the means of convolutional neural networks (CNNs). High-level synthesis of…”
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    Conference Proceeding
  6. 6

    Applying deep generative model in plan review of intensity modulated radiotherapy by Huang, Peng, Shang, Jiawen, Fan, Yuhan, Chang, Zhixing, Xu, Yingjie, Zhang, Ke, Hu, Zhihui, Dai, Jianrong, Yan, Hui

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Published: United States 01.06.2025
    Published in Medical physics (Lancaster) (01.06.2025)
    “…Background Plan review is critical for safely delivering radiation dose to a patient under radiotherapy and mainly performed by medical physicist in routine…”
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    Journal Article