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 *

122 related articles for article (PubMed ID: 18249747)

  • 21. Regional spatially adaptive total variation super-resolution with spatial information filtering and clustering.
    Yuan Q; Zhang L; Shen H
    IEEE Trans Image Process; 2013 Jun; 22(6):2327-42. PubMed ID: 23481857
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Alternating direction method of multipliers for nonlinear image restoration problems.
    Chen C; Ng MK; Zhao XL
    IEEE Trans Image Process; 2015 Jan; 24(1):33-43. PubMed ID: 25398177
    [TBL] [Abstract][Full Text] [Related]  

  • 23. General choice of the regularization functional in regularized image restoration.
    Kang MG; Katsaggelos AK
    IEEE Trans Image Process; 1995; 4(5):594-602. PubMed ID: 18290009
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Document image binarisation using a supervised neural network.
    Khashman A; Sekeroglu B
    Int J Neural Syst; 2008 Oct; 18(5):405-18. PubMed ID: 18991363
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Unified blind method for multi-image super-resolution and single/multi-image blur deconvolution.
    Faramarzi E; Rajan D; Christensen MP
    IEEE Trans Image Process; 2013 Jun; 22(6):2101-14. PubMed ID: 23314775
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Image Restoration by Combined Order Regularization with Optimal Spatial Adaptation.
    Viswanath S; Ghulyani M; De Beco S; Dahan M; Arigovindan M
    IEEE Trans Image Process; 2020 Apr; ():. PubMed ID: 32356745
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A dictionary learning approach for Poisson image deblurring.
    Ma L; Moisan L; Yu J; Zeng T
    IEEE Trans Med Imaging; 2013 Jul; 32(7):1277-89. PubMed ID: 23549888
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Learning Deep Gradient Descent Optimization for Image Deconvolution.
    Gong D; Zhang Z; Shi Q; van den Hengel A; Shen C; Zhang Y
    IEEE Trans Neural Netw Learn Syst; 2020 Dec; 31(12):5468-5482. PubMed ID: 32078566
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Adaptive penalty likelihood for reconstruction of multidimensional confocal microscopy images.
    Zhu D; Razaz M; Lee R
    Comput Med Imaging Graph; 2005 Jul; 29(5):319-31. PubMed ID: 15893912
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An iterative shrinkage approach to total-variation image restoration.
    Michailovich OV
    IEEE Trans Image Process; 2011 May; 20(5):1281-99. PubMed ID: 21047715
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Adaptively regularized constrained total least-squares image restoration.
    Chen W; Chen M; Zhou J
    IEEE Trans Image Process; 2000; 9(4):588-96. PubMed ID: 18255432
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep RED Unfolding Network for Image Restoration.
    Kong S; Wang W; Feng X; Jia X
    IEEE Trans Image Process; 2022; 31():852-867. PubMed ID: 34951845
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An iterative L1-based image restoration algorithm with an adaptive parameter estimation.
    Montefusco LB; Lazzaro D
    IEEE Trans Image Process; 2012 Apr; 21(4):1676-86. PubMed ID: 22027382
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution.
    Shen H; Peng L; Yue L; Yuan Q; Zhang L
    IEEE Trans Cybern; 2016 Jun; 46(6):1388-99. PubMed ID: 26208375
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent.
    Prasath VB; Vorotnikov D; Pelapur R; Jose S; Seetharaman G; Palaniappan K
    IEEE Trans Image Process; 2015 Dec; 24(12):5220-35. PubMed ID: 26394419
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Fine-granularity and spatially-adaptive regularization for projection-based image deblurring.
    Li X
    IEEE Trans Image Process; 2011 Apr; 20(4):971-83. PubMed ID: 20876018
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Parameter selection for total-variation-based image restoration using discrepancy principle.
    Wen YW; Chan RH
    IEEE Trans Image Process; 2012 Apr; 21(4):1770-81. PubMed ID: 22203711
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation.
    Galatsanos NP; Katsaggelos AK
    IEEE Trans Image Process; 1992; 1(3):322-36. PubMed ID: 18296166
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improving generalization performance of natural gradient learning using optimized regularization by NIC.
    Park H; Murata N; Amari S
    Neural Comput; 2004 Feb; 16(2):355-82. PubMed ID: 15006100
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks.
    Wu W; Fan Q; Zurada JM; Wang J; Yang D; Liu Y
    Neural Netw; 2014 Feb; 50():72-8. PubMed ID: 24291693
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.