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 *

105 related articles for article (PubMed ID: 36256334)

  • 1. Uneven wrapped phase pattern denoising using a deep neural network.
    Li J; Tang C; Xu M; Lei Z
    Appl Opt; 2022 Aug; 61(24):7150-7157. PubMed ID: 36256334
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DBDNet for denoising in ESPI wrapped phase patterns with high density and high speckle noise.
    Li J; Tang C; Xu M; Fan Z; Lei Z
    Appl Opt; 2021 Nov; 60(32):10070-10079. PubMed ID: 34807111
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Attention-guided CNN for image denoising.
    Tian C; Xu Y; Li Z; Zuo W; Fei L; Liu H
    Neural Netw; 2020 Apr; 124():117-129. PubMed ID: 31991307
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Probabilistic self-learning framework for low-dose CT denoising.
    Bai T; Wang B; Nguyen D; Jiang S
    Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Speckle Noise Removal Model Based on Diffusion Equation and Convolutional Neural Network.
    Nao S; Wang Y
    Comput Intell Neurosci; 2022; 2022():5344263. PubMed ID: 35755762
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.
    Wu L; Hu S; Liu C
    Comput Intell Neurosci; 2021; 2021():5577956. PubMed ID: 34054939
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network.
    Li Y; Zhang K; Shi W; Miao Y; Jiang Z
    Comput Math Methods Med; 2021; 2021():9974017. PubMed ID: 34621329
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dilated Residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain.
    Cheng W; Lu J; Zhu X; Hong J; Liu X; Li M; Li P
    IEEE Trans Med Imaging; 2020 May; 39(5):1582-1593. PubMed ID: 31725373
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Image denoising using deep CNN with batch renormalization.
    Tian C; Xu Y; Zuo W
    Neural Netw; 2020 Jan; 121():461-473. PubMed ID: 31629201
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Batch denoising of ESPI fringe patterns based on convolutional neural network.
    Hao F; Tang C; Xu M; Lei Z
    Appl Opt; 2019 May; 58(13):3338-3346. PubMed ID: 31044829
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss.
    Zhang L; Zhang J
    PeerJ Comput Sci; 2022; 8():e873. PubMed ID: 35494868
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Incorporation of residual attention modules into two neural networks for low-dose CT denoising.
    Li M; Du Q; Duan L; Yang X; Zheng J; Jiang H; Li M
    Med Phys; 2021 Jun; 48(6):2973-2990. PubMed ID: 33890681
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Joint enhancement and denoising in electronic speckle pattern interferometry fringe patterns with low contrast or uneven illumination via an oriented variational Retinex model.
    Han R; Tang C; Xu M; Li J; Lei Z
    J Opt Soc Am A Opt Image Sci Vis; 2022 Feb; 39(2):239-249. PubMed ID: 35200960
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Denoising non-steady state dynamic PET data using a feed-forward neural network.
    Angelis GI; Fuller OK; Gillam JE; Meikle SR
    Phys Med Biol; 2021 Jan; 66(3):034001. PubMed ID: 33238255
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust North Atlantic right whale detection using deep learning models for denoising.
    Vickers W; Milner B; Risch D; Lee R
    J Acoust Soc Am; 2021 Jun; 149(6):3797. PubMed ID: 34241455
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Limited parameter denoising for low-dose X-ray computed tomography using deep reinforcement learning.
    Patwari M; Gutjahr R; Raupach R; Maier A
    Med Phys; 2022 Jul; 49(7):4540-4553. PubMed ID: 35362172
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
    Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
    Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-Supervised Denoising Image Filter Based on Recursive Deep Neural Network Structure.
    Kang C; Kang SU
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883829
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images.
    Sugai T; Takano K; Ouchi S; Ito S
    Magn Reson Med Sci; 2021 Dec; 20(4):410-424. PubMed ID: 33583867
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Denoising Medical Images Using Machine Learning, Deep Learning Approaches: A Survey.
    Arshaghi A; Ashourian M; Ghabeli L
    Curr Med Imaging; 2021; 17(5):578-594. PubMed ID: 33213331
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.