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 *

147 related articles for article (PubMed ID: 34892109)

  • 1. Image Super-Resolution Through Compressive Sensing-based Recovery.
    Zanddizari H; Dey A; Rajan S
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():4006-4010. PubMed ID: 34892109
    [TBL] [Abstract][Full Text] [Related]  

  • 2. New learning based super-resolution: use of DWT and IGMRF prior.
    Gajjar PP; Joshi MV
    IEEE Trans Image Process; 2010 May; 19(5):1201-13. PubMed ID: 20106738
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Projections onto Convex Sets Super-Resolution Reconstruction Based on Point Spread Function Estimation of Low-Resolution Remote Sensing Images.
    Fan C; Wu C; Li G; Ma J
    Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28208837
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory.
    Wang Y; Wang L; Liu B; Zhao H
    Sensors (Basel); 2021 Jun; 21(12):. PubMed ID: 34203747
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.
    Ning L; Setsompop K; Michailovich O; Makris N; Westin CF; Rathi Y
    Inf Process Med Imaging; 2015; 24():57-68. PubMed ID: 26221667
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution.
    Liu Z; Zheng Y; Han XH
    Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33800532
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dictionary learning based noisy image super-resolution via distance penalty weight model.
    Han Y; Zhao Y; Wang Q
    PLoS One; 2017; 12(7):e0182165. PubMed ID: 28759633
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Compressive sensing image recovery using dictionary learning and shape-adaptive DCT thresholding.
    Du D; Pan Z; Zhang P; Li Y; Ku W
    Magn Reson Imaging; 2019 Jan; 55():60-71. PubMed ID: 30240759
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation.
    Dong W; Fu F; Shi G; Cao X; Wu J; Li G; Li G
    IEEE Trans Image Process; 2016 May; 25(5):2337-52. PubMed ID: 27019486
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Image super-resolution via sparse representation.
    Yang J; Wright J; Huang TS; Ma Y
    IEEE Trans Image Process; 2010 Nov; 19(11):2861-73. PubMed ID: 20483687
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Super-Interpolation With Edge-Orientation-Based Mapping Kernels for Low Complex 2× Upscaling.
    Jae-Seok Choi ; Munchurl Kim
    IEEE Trans Image Process; 2016 Jan; 25(1):469-83. PubMed ID: 26672039
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A trusted medical image super-resolution method based on feedback adaptive weighted dense network.
    Chen L; Yang X; Jeon G; Anisetti M; Liu K
    Artif Intell Med; 2020 Jun; 106():101857. PubMed ID: 32593391
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fast analysis method for stochastic optical reconstruction microscopy using multiple measurement vector model sparse Bayesian learning.
    Wu J; Li S; Zhang S; Lin D; Yu B; Qu J
    Opt Lett; 2018 Aug; 43(16):3977-3980. PubMed ID: 30106931
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hyperspectral imagery super-resolution by compressive sensing inspired dictionary learning and spatial-spectral regularization.
    Huang W; Xiao L; Liu H; Wei Z
    Sensors (Basel); 2015 Jan; 15(1):2041-58. PubMed ID: 25608212
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Image Super-resolution with Parametric Sparse Model Learning.
    Li Y; Dong W; Xie X; Shi G; Wu J; Li X
    IEEE Trans Image Process; 2018 May; ():. PubMed ID: 29994530
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deterministic compressive sampling for high-quality image reconstruction of ultrasound tomography.
    Huy TQ; Tue HH; Long TT; Duc-Tan T
    BMC Med Imaging; 2017 May; 17(1):34. PubMed ID: 28545406
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning Discrete Representations From Reference Images for Large Scale Factor Image Super-Resolution.
    Sun W; Chen Z
    IEEE Trans Image Process; 2022; 31():1490-1503. PubMed ID: 35050855
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.
    Wu G; Zhu X; Wang Q; Shen D
    Patch Based Tech Med Imaging (2015); 2015 Oct; 9467():10-18. PubMed ID: 30294727
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Incorporation of local dependent reliability information into the Prior Image Constrained Compressed Sensing (PICCS) reconstruction algorithm.
    Vaegler S; Stsepankou D; Hesser J; Sauer O
    Z Med Phys; 2015 Dec; 25(4):375-390. PubMed ID: 26422578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning.
    Zhang X; Li C; Meng Q; Liu S; Zhang Y; Wang J
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30087286
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.