These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 34057896)

  • 1. Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection.
    Jiang T; Xie W; Li Y; Lei J; Du Q
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6504-6517. PubMed ID: 34057896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks.
    Gao H; Yao D; Wang M; Li C; Liu H; Hua Z; Wang J
    Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31349589
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fully Convolutional Change Detection Framework With Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection.
    Wu C; Du B; Zhang L
    IEEE Trans Pattern Anal Mach Intell; 2023 Aug; 45(8):9774-9788. PubMed ID: 37021864
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection.
    Xie W; Lei J; Liu B; Li Y; Jia X
    Neural Netw; 2019 Nov; 119():222-234. PubMed ID: 31472289
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection.
    Xie W; Zhang X; Li Y; Lei J; Li J; Du Q
    IEEE Trans Cybern; 2021 Aug; 51(8):3889-3900. PubMed ID: 33961574
    [TBL] [Abstract][Full Text] [Related]  

  • 6. HTD-TS
    Qin H; Xie W; Li Y; Du Q
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37531312
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning.
    Chen Z; Duan J; Kang L; Qiu G
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7781-7798. PubMed ID: 36445991
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-quality semi-supervised anomaly detection with generative adversarial networks.
    Sato Y; Sato J; Tomiyama N; Kido S
    Int J Comput Assist Radiol Surg; 2023 Nov; ():. PubMed ID: 37943467
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Novel Sensor Network Structure for Classification Processing Based on the Machine Learning Method of the ACGAN.
    Chen Y; Tao J; Wang J; Chen X; Xie J; Xiong J; Yang K
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31319556
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection.
    Zhou Y; Song X; Zhang Y; Liu F; Zhu C; Liu L
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2454-2465. PubMed ID: 34170831
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Self-spectral learning with GAN based spectral-spatial target detection for hyperspectral image.
    Xie W; Zhang J; Lei J; Li Y; Jia X
    Neural Netw; 2021 Oct; 142():375-387. PubMed ID: 34139654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hardness Recognition of Robotic Forearm Based on Semi-supervised Generative Adversarial Networks.
    Qian X; Li E; Zhang J; Zhao SN; Wu QE; Zhang H; Wang W; Wu Y
    Front Neurorobot; 2019; 13():73. PubMed ID: 31551748
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection.
    Huang C; Wen J; Xu Y; Jiang Q; Yang J; Wang Y; Zhang D
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9389-9403. PubMed ID: 35380972
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification.
    Zhong Z; Li J; Clausi DA; Wong A
    IEEE Trans Cybern; 2020 Jul; 50(7):3318-3329. PubMed ID: 31170085
    [TBL] [Abstract][Full Text] [Related]  

  • 15. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
    Schlegl T; Seeböck P; Waldstein SM; Langs G; Schmidt-Erfurth U
    Med Image Anal; 2019 May; 54():30-44. PubMed ID: 30831356
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images.
    Li J; Wu Z; Sheng Q; Wang B; Hu Z; Zheng S; Camps-Valls G; Molinier M
    Remote Sens Environ; 2022 Oct; 280():113197. PubMed ID: 36193118
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Self-Supervised Anomaly Detector of Fruits Based on Hyperspectral Imaging.
    Liu Y; Zhou S; Wan Z; Qiu Z; Zhao L; Pang K; Li C; Yin Z
    Foods; 2023 Jul; 12(14):. PubMed ID: 37509761
    [TBL] [Abstract][Full Text] [Related]  

  • 18. LSTM-Based VAE-GAN for Time-Series Anomaly Detection.
    Niu Z; Yu K; Wu X
    Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32635374
    [TBL] [Abstract][Full Text] [Related]  

  • 19. AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning.
    Huyan N; Zhang X; Quan D; Chanussot J; Jiao L
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6835-6849. PubMed ID: 36301787
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network.
    Chen Y; Lai W; He W; Zhao XL; Zeng J
    IEEE Trans Image Process; 2024; 33():926-941. PubMed ID: 38252571
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.