BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 33408998)

  • 1. Deep learning approach to improve tangential resolution in photoacoustic tomography.
    Rajendran P; Pramanik M
    Biomed Opt Express; 2020 Dec; 11(12):7311-7323. PubMed ID: 33408998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Experimental validation of tangential resolution improvement in photoacoustic tomography using modified delay-and-sum reconstruction algorithm.
    Kalva SK; Pramanik M
    J Biomed Opt; 2016 Aug; 21(8):86011. PubMed ID: 27548773
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving tangential resolution with a modified delay-and-sum reconstruction algorithm in photoacoustic and thermoacoustic tomography.
    Pramanik M
    J Opt Soc Am A Opt Image Sci Vis; 2014 Mar; 31(3):621-7. PubMed ID: 24690661
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Convolutional neural network for resolution enhancement and noise reduction in acoustic resolution photoacoustic microscopy.
    Sharma A; Pramanik M
    Biomed Opt Express; 2020 Dec; 11(12):6826-6839. PubMed ID: 33408964
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning-based multi-transducer photoacoustic tomography imaging without radius calibration.
    Rajendran P; Pramanik M
    Opt Lett; 2021 Sep; 46(18):4510-4513. PubMed ID: 34525034
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High frame rate (∼3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning.
    Rajendran P; Pramanik M
    J Biomed Opt; 2022 Jun; 27(6):066005. PubMed ID: 36452448
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.
    Zhang H; Li H; Nyayapathi N; Wang D; Le A; Ying L; Xia J
    Comput Med Imaging Graph; 2020 Sep; 84():101720. PubMed ID: 32679469
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Back-projection algorithm in generalized form for circular-scanning-based photoacoustic tomography with improved tangential resolution.
    Wang B; Su T; Pang W; Wei N; Xiao J; Peng K
    Quant Imaging Med Surg; 2019 Mar; 9(3):491-502. PubMed ID: 31032195
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning spatially variant degradation for unsupervised blind photoacoustic tomography image restoration.
    Tang K; Zhang S; Wang Y; Zhang X; Liu Z; Liang Z; Wang H; Chen L; Chen W; Qi L
    Photoacoustics; 2023 Aug; 32():100536. PubMed ID: 37575971
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tangential resolution improvement in thermoacoustic and photoacoustic tomography using a negative acoustic lens.
    Pramanik M; Ku G; Wang LV
    J Biomed Opt; 2009; 14(2):024028. PubMed ID: 19405757
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning on photoacoustic tomography to remove image distortion due to inaccurate measurement of the scanning radius.
    Mondal S; Paul S; Singh N; Saha RK
    Biomed Opt Express; 2023 Nov; 14(11):5817-5832. PubMed ID: 38021110
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Approximate back-projection method for improving lateral resolution in circular-scanning-based photoacoustic tomography.
    Wang B; Ye T; Wang G; Guo L; Xiao J
    Med Phys; 2021 Jun; 48(6):3011-3021. PubMed ID: 33837541
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Model-based correction of finite aperture effect in photoacoustic tomography.
    Li ML; Tseng YC; Cheng CC
    Opt Express; 2010 Dec; 18(25):26285-92. PubMed ID: 21164977
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The influences of finite aperture size in photoacoustic computed tomography.
    Luo X; Jiang J; Wu H; Li M; Wang B
    Ultrasonics; 2023 Aug; 133():107042. PubMed ID: 37186987
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improved back-projection method for circular-scanning-based photoacoustic tomography with improved tangential resolution.
    Xiao J; Luo X; Peng K; Wang B
    Appl Opt; 2017 Nov; 56(32):8983-8990. PubMed ID: 29131179
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal.
    Guan S; Khan AA; Sikdar S; Chitnis PV
    IEEE J Biomed Health Inform; 2020 Feb; 24(2):568-576. PubMed ID: 31021809
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Deep Learning Approach for the Photoacoustic Tomography Recovery From Undersampled Measurements.
    Shahid H; Khalid A; Liu X; Irfan M; Ta D
    Front Neurosci; 2021; 15():598693. PubMed ID: 33716643
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography.
    Zhang H; Bo W; Wang D; DiSpirito A; Huang C; Nyayapathi N; Zheng E; Vu T; Gong Y; Yao J; Xu W; Xia J
    IEEE Trans Med Imaging; 2022 May; 41(5):1279-1288. PubMed ID: 34928793
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Photoacoustic Tomography Image Restoration With Measured Spatially Variant Point Spread Functions.
    Qi L; Wu J; Li X; Zhang S; Huang S; Feng Q; Chen W
    IEEE Trans Med Imaging; 2021 Sep; 40(9):2318-2328. PubMed ID: 33939607
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artifact removal in photoacoustic tomography with an unsupervised method.
    Lu M; Liu X; Liu C; Li B; Gu W; Jiang J; Ta D
    Biomed Opt Express; 2021 Oct; 12(10):6284-6299. PubMed ID: 34745737
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.