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 *

107 related articles for article (PubMed ID: 32746098)

  • 1. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography.
    Samieinasab M; Amini Z; Rabbani H
    IEEE Trans Med Imaging; 2020 Nov; 39(11):3475-3487. PubMed ID: 32746098
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. OCT Image Denoising Based on Asymmetric Normal Laplace Mixture Model.
    Jorjandi S; Rabbani H; Amini Z; Kafieh R
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2679-2682. PubMed ID: 31946447
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising.
    Tajmirriahi M; Amini Z; Hamidi A; Zam A; Rabbani H
    IEEE Trans Med Imaging; 2021 Aug; 40(8):2129-2141. PubMed ID: 33852382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optical coherence tomography image denoising using Gaussianization transform.
    J Biomed Opt; 2017 Aug; 22(8):1-12. PubMed ID: 28853244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical modeling of Optical Coherence Tomography images by asymmetric Normal Laplace mixture model.
    Jorjandi S; Rabbani H; Kafieh R; Amini Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4399-4402. PubMed ID: 29060872
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
    Chakravarty A; Sivaswamy J
    Comput Methods Programs Biomed; 2018 Oct; 165():235-250. PubMed ID: 30337078
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Statistical modeling of retinal optical coherence tomography using the Weibull mixture model.
    Jorjandi S; Amini Z; Plonka G; Rabbani H
    Biomed Opt Express; 2021 Sep; 12(9):5470-5488. PubMed ID: 34692195
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 37(9):1978-1988. PubMed ID: 29990154
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of improved homogeneity similarity-based denoising in optical coherence tomography retinal images.
    Chen Q; de Sisternes L; Leng T; Rubin DL
    J Digit Imaging; 2015 Jun; 28(3):346-61. PubMed ID: 25404105
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistics of optical coherence tomography data from human retina.
    Grzywacz NM; de Juan J; Ferrone C; Giannini D; Huang D; Koch G; Russo V; Tan O; Bruni C
    IEEE Trans Med Imaging; 2010 Jun; 29(6):1224-37. PubMed ID: 20304733
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Super-resolution of Retinal Optical Coherence Tomography Images Using Statistical Modeling.
    Jorjandi S; Amini Z; Rabbani H
    J Med Signals Sens; 2024; 14():2. PubMed ID: 38510673
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 60(22):8901-22. PubMed ID: 26553577
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.
    ElTanboly A; Ismail M; Shalaby A; Switala A; El-Baz A; Schaal S; Gimel'farb G; El-Azab M
    Med Phys; 2017 Mar; 44(3):914-923. PubMed ID: 28035657
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images.
    Sleman AA; Soliman A; Elsharkawy M; Giridharan G; Ghazal M; Sandhu H; Schaal S; Keynton R; Elmaghraby A; El-Baz A
    Med Phys; 2021 Apr; 48(4):1584-1595. PubMed ID: 33450073
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography.
    Rathke F; Schmidt S; Schnörr C
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):370-7. PubMed ID: 22003721
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation.
    Ji Z; Huang Y; Sun Q; Cao G; Zheng Y
    PLoS One; 2017; 12(1):e0168449. PubMed ID: 28045950
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography.
    Janpongsri W; Huang J; Ng R; Wahl DJ; Sarunic MV; Jian Y
    J Biophotonics; 2020 Aug; 13(8):e202000042. PubMed ID: 32421890
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.