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Journal Abstract Search

415 related items for PubMed ID: 27116734

  • 1. Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction.
    Cheng J, Tao D, Quan Y, Wong DW, Cheung GC, Akiba M, Liu J.
    IEEE Trans Med Imaging; 2016 Oct; 35(10):2270-2279. PubMed ID: 27116734
    [Abstract] [Full Text] [Related]

  • 2. Speckle reduction in optical coherence tomography by matrix completion using bilateral random projection.
    Cheng J, Duan L, Wong DW, Akiba M, Liu J.
    Annu Int Conf IEEE Eng Med Biol Soc; 2014 Oct; 2014():186-9. PubMed ID: 25569928
    [Abstract] [Full Text] [Related]

  • 3. Speckle reduction in optical coherence tomography by image registration and matrix completion.
    Cheng J, Duan L, Wong DW, Tao D, Akiba M, Liu J.
    Med Image Comput Comput Assist Interv; 2014 Oct; 17(Pt 1):162-9. PubMed ID: 25333114
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  • 4. Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation.
    Yan Q, Chen B, Hu Y, Cheng J, Gong Y, Yang J, Liu J, Zhao Y.
    Artif Intell Med; 2020 Jun; 106():101871. PubMed ID: 32593394
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  • 5. Speckle reduction in optical coherence tomography by two-step image registration.
    Zhang H, Li Z, Wang X, Zhang X.
    J Biomed Opt; 2015 Mar; 20(3):036013. PubMed ID: 25793561
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  • 6. DHNet: High-resolution and hierarchical network for cross-domain OCT speckle noise reduction.
    Zhou Y, Li J, Wang M, Peng Y, Chen Z, Zhu W, Shi F, Wang L, Wang T, Yao C, Chen X.
    Med Phys; 2022 Sep; 49(9):5914-5928. PubMed ID: 35611567
    [Abstract] [Full Text] [Related]

  • 7. Speckle Reduction in Optical Coherence Tomography via Super-Resolution Reconstruction.
    Zhao R, Zhao Y, Chen Z, Zhao Y, Yang J, Hu Y, Cheng J, Liu J.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5589-5592. PubMed ID: 31947122
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  • 8. Automatic Annotation of Retinal Layers in Optical Coherence Tomography Images.
    Dodo BI, Li Y, Eltayef K, Liu X.
    J Med Syst; 2019 Nov 13; 43(12):336. PubMed ID: 31724076
    [Abstract] [Full Text] [Related]

  • 9. Statistical Modeling of Retinal Optical Coherence Tomography.
    Amini Z, Rabbani H.
    IEEE Trans Med Imaging; 2016 Jun 13; 35(6):1544-54. PubMed ID: 26800532
    [Abstract] [Full Text] [Related]

  • 10. Spectral-domain optical coherence tomography with multiple B-scan averaging for enhanced imaging of retinal diseases.
    Sakamoto A, Hangai M, Yoshimura N.
    Ophthalmology; 2008 Jun 13; 115(6):1071-1078.e7. PubMed ID: 18061270
    [Abstract] [Full Text] [Related]

  • 11. Spiking cortical model-based nonlocal means method for speckle reduction in optical coherence tomography images.
    Zhang X, Li L, Zhu F, Hou W, Chen X.
    J Biomed Opt; 2014 Jun 13; 19(6):066005. PubMed ID: 24919448
    [Abstract] [Full Text] [Related]

  • 12. Speckle attenuation by adaptive singular value shrinking with generalized likelihood matching in optical coherence tomography.
    Chen H, Fu S, Wang H, Lv H, Zhang C.
    J Biomed Opt; 2018 Mar 13; 23(3):1-8. PubMed ID: 29595018
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  • 13. Multi-task generative adversarial network for retinal optical coherence tomography image denoising.
    Xie Q, Ma Z, Zhu L, Fan F, Meng X, Gao X, Zhu J.
    Phys Med Biol; 2023 Feb 03; 68(4):. PubMed ID: 36137542
    [Abstract] [Full Text] [Related]

  • 14. Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region.
    Tian J, Varga B, Somfai GM, Lee WH, Smiddy WE, DeBuc DC.
    PLoS One; 2015 Feb 03; 10(8):e0133908. PubMed ID: 26258430
    [Abstract] [Full Text] [Related]

  • 15. Speckle-constrained variational methods for image restoration in optical coherence tomography.
    Yin D, Gu Y, Xue P.
    J Opt Soc Am A Opt Image Sci Vis; 2013 May 01; 30(5):878-85. PubMed ID: 23695318
    [Abstract] [Full Text] [Related]

  • 16. New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images.
    Duan J, Tench C, Gottlob I, Proudlock F, Bai L.
    Phys Med Biol; 2015 Nov 21; 60(22):8901-22. PubMed ID: 26553577
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  • 17. Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography.
    Dubose TB, Cunefare D, Cole E, Milanfar P, Izatt JA, Farsiu S.
    IEEE Trans Med Imaging; 2018 Sep 21; 37(9):1978-1988. PubMed ID: 29990154
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  • 18. Speckle-modulating optical coherence tomography in living mice and humans.
    Liba O, Lew MD, SoRelle ED, Dutta R, Sen D, Moshfeghi DM, Chu S, de la Zerda A.
    Nat Commun; 2017 Jun 20; 8():15845. PubMed ID: 28632205
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  • 19. DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images.
    Shi F, Cai N, Gu Y, Hu D, Ma Y, Chen Y, Chen X.
    Phys Med Biol; 2019 Sep 04; 64(17):175010. PubMed ID: 31342925
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  • 20. Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
    Girish GN, Thakur B, Chowdhury SR, Kothari AR, Rajan J.
    IEEE J Biomed Health Inform; 2019 Jan 04; 23(1):296-304. PubMed ID: 29994161
    [Abstract] [Full Text] [Related]

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