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 *

248 related articles for article (PubMed ID: 32133216)

  • 1. Three-dimensional curvelet-based dictionary learning for speckle noise removal of optical coherence tomography.
    Esmaeili M; Dehnavi AM; Hajizadeh F; Rabbani H
    Biomed Opt Express; 2020 Feb; 11(2):586-608. PubMed ID: 32133216
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Speckle Noise Reduction in Optical Coherence Tomography Using Two-dimensional Curvelet-based Dictionary Learning.
    Esmaeili M; Dehnavi AM; Rabbani H; Hajizadeh F
    J Med Signals Sens; 2017; 7(2):86-91. PubMed ID: 28553581
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Three-dimensional Segmentation of Retinal Cysts from Spectral-domain Optical Coherence Tomography Images by the Use of Three-dimensional Curvelet Based K-SVD.
    Esmaeili M; Dehnavi AM; Rabbani H; Hajizadeh F
    J Med Signals Sens; 2016; 6(3):166-71. PubMed ID: 27563573
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient wavelet and curvelet-based PET image denoising technique.
    Bal A; Banerjee M; Sharma P; Maitra M
    Med Biol Eng Comput; 2019 Dec; 57(12):2567-2598. PubMed ID: 31654293
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection.
    Fang Y; Shao X; Liu B; Lv H
    Heliyon; 2023 Jul; 9(7):e17735. PubMed ID: 37449117
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Speckle noise reduction algorithm with total variation regularization in optical coherence tomography.
    Gong G; Zhang H; Yao M
    Opt Express; 2015 Sep; 23(19):24699-712. PubMed ID: 26406671
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Speckle reduction in optical coherence tomography images based on wave atoms.
    Du Y; Liu G; Feng G; Chen Z
    J Biomed Opt; 2014 May; 19(5):056009. PubMed ID: 24825507
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory.
    Eghtedar RA; Esmaeili M; Peyman A; Akhlaghi M; Rasta SH
    J Med Signals Sens; 2023; 13(2):92-100. PubMed ID: 37448544
    [TBL] [Abstract][Full Text] [Related]  

  • 9. General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery.
    Wong A; Mishra A; Bizheva K; Clausi DA
    Opt Express; 2010 Apr; 18(8):8338-52. PubMed ID: 20588679
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Denoising algorithm of OCT images via sparse representation based on noise estimation and global dictionary.
    Zhang X; Li Z; Nan N; Wang X
    Opt Express; 2022 Feb; 30(4):5788-5802. PubMed ID: 35209533
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of Independent Component Analysis Techniques in Speckle Noise Reduction of Retinal OCT Images.
    Baghaie A; D'Souza RM; Yu Z
    Optik (Stuttg); 2016 Aug; 127(15):5783-5791. PubMed ID: 27667860
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images.
    Kande NA; Dakhane R; Dukkipati A; Yalavarthy PK
    IEEE Trans Med Imaging; 2021 Jan; 40(1):180-192. PubMed ID: 32924938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Three dimensional data-driven multi scale atomic representation of optical coherence tomography.
    Kafieh R; Rabbani H; Selesnick I
    IEEE Trans Med Imaging; 2015 May; 34(5):1042-62. PubMed ID: 25934998
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Noise-imitation learning: unpaired speckle noise reduction for optical coherence tomography.
    Yao B; Jin L; Hu J; Liu Y; Yan Y; Li Q; Lu Y
    Phys Med Biol; 2024 Sep; 69(18):. PubMed ID: 39151463
    [No Abstract]   [Full Text] [Related]  

  • 15. Optical oherence tomography image reconstruction Using Morphological Component Analysis.
    Mokhtari M; Daneshmand PG; Rabbani H
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5601-5604. PubMed ID: 31947125
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive compounding speckle-noise-reduction filter for optical coherence tomography images.
    Gómez-Valverde JJ; Sinz C; Rank EA; Chen Z; Santos A; Drexler W; Ledesma-Carbayo MJ
    J Biomed Opt; 2021 Jun; 26(6):. PubMed ID: 34142472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learnable despeckling framework for optical coherence tomography images.
    Adabi S; Rashedi E; Clayton A; Mohebbi-Kalkhoran H; Chen XW; Conforto S; Nasiriavanaki M
    J Biomed Opt; 2018 Jan; 23(1):1-12. PubMed ID: 29368458
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Geometrical X-lets for Image Denoising.
    Khodabandeh Z; Rabbani H; Mehri A
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2691-2694. PubMed ID: 31946450
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation.
    Le Pogam A; Hanzouli H; Hatt M; Cheze Le Rest C; Visvikis D
    Med Image Anal; 2013 Dec; 17(8):877-91. PubMed ID: 23837964
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Speckle attenuation in optical coherence tomography by curvelet shrinkage.
    Jian Z; Yu Z; Yu L; Rao B; Chen Z; Tromberg BJ
    Opt Lett; 2009 May; 34(10):1516-8. PubMed ID: 19448806
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.