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 *

125 related articles for article (PubMed ID: 34925499)

  • 21. A maintenance hemodialysis mortality prediction model based on anomaly detection using longitudinal hemodialysis data.
    Wang Y; Zhu Y; Lou G; Zhang P; Chen J; Li J
    J Biomed Inform; 2021 Nov; 123():103930. PubMed ID: 34624552
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multi-mode non-Gaussian variational autoencoder network with missing sources for anomaly detection of complex electromechanical equipment.
    Luo Q; Chen J; Zi Y; Chang Y; Feng Y
    ISA Trans; 2023 Mar; 134():144-158. PubMed ID: 36150902
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Anomaly Detection in Videos Using Two-Stream Autoencoder with Post Hoc Interpretability.
    Feng J; Liang Y; Li L
    Comput Intell Neurosci; 2021; 2021():7367870. PubMed ID: 34354745
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos.
    Hu J; Zhu E; Wang S; Liu X; Guo X; Yin J
    Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31554333
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Feature-Trajectory-Smoothed High-Speed Model for Video Anomaly Detection.
    Sun L; Wang Z; Zhang Y; Wang G
    Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772652
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Video Abnormal Event Detection Based on One-Class Neural Network.
    Xia X; Gao Y
    Comput Intell Neurosci; 2021; 2021():1955116. PubMed ID: 34621305
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Eigen value based loss function for training attractors in iterated autoencoders.
    Nouri A; Seyyedsalehi SA
    Neural Netw; 2023 Apr; 161():575-588. PubMed ID: 36822143
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders.
    Candido de Oliveira D; Nassu BT; Wehrmeister MA
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772392
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combining autoencoder with clustering analysis for anomaly detection in radiotherapy plans.
    Huang P; Yan H; Song Z; Xu Y; Hu Z; Dai J
    Quant Imaging Med Surg; 2023 Apr; 13(4):2328-2338. PubMed ID: 37064364
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images.
    Zhou K; Li J; Luo W; Li Z; Yang J; Fu H; Cheng J; Liu J; Gao S
    IEEE Trans Med Imaging; 2022 Mar; 41(3):582-594. PubMed ID: 34644250
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images.
    Lee RC; Chen IY
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372202
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MOCCA: Multilayer One-Class Classification for Anomaly Detection.
    Massoli FV; Falchi F; Kantarci A; Akti S; Ekenel HK; Amato G
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2313-2323. PubMed ID: 34874873
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DA-LSTM-VAE: Dual-Stage Attention-Based LSTM-VAE for KPI Anomaly Detection.
    Zhao Y; Zhang X; Shang Z; Cao Z
    Entropy (Basel); 2022 Nov; 24(11):. PubMed ID: 36359702
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors.
    Cowton J; Kyriazakis I; Plötz T; Bacardit J
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30072607
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders.
    Freiman M; Manjeshwar R; Goshen L
    Med Phys; 2019 May; 46(5):2223-2231. PubMed ID: 30821364
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Recurrent Reconstructive Network for Sequential Anomaly Detection.
    Yoo YH; Kim UH; Kim JH
    IEEE Trans Cybern; 2021 Mar; 51(3):1704-1715. PubMed ID: 31478884
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Anomaly Detection of Water Level Using Deep Autoencoder.
    Nicholaus IT; Park JR; Jung K; Lee JS; Kang DK
    Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34640997
    [TBL] [Abstract][Full Text] [Related]  

  • 39. RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection.
    Liu B; Wang D; Lin K; Tan PN; Zhou J
    IJCAI (U S); 2021 Aug; 2021():1505-1511. PubMed ID: 35480631
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Spatio-temporal prediction and reconstruction network for video anomaly detection.
    Liu T; Zhang C; Niu X; Wang L
    PLoS One; 2022; 17(5):e0265564. PubMed ID: 35617331
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.