BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 27071164)

  • 1. Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging.
    Yunsong Liu ; Zhifang Zhan ; Jian-Feng Cai ; Di Guo ; Zhong Chen ; Xiaobo Qu
    IEEE Trans Med Imaging; 2016 Sep; 35(9):2130-2140. PubMed ID: 27071164
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive fixed-point iterative shrinkage/thresholding algorithm for MR imaging reconstruction using compressed sensing.
    Wu G; Luo S
    Magn Reson Imaging; 2014 May; 32(4):372-8. PubMed ID: 24512794
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI.
    Zhang X; Lu H; Guo D; Bao L; Huang F; Xu Q; Qu X
    Med Image Anal; 2021 Apr; 69():101987. PubMed ID: 33588120
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjustable shrinkage-thresholding projection algorithm for compressed sensing magnetic resonance imaging.
    Lang J; Gang K; Zhang C
    Magn Reson Imaging; 2022 Feb; 86():74-85. PubMed ID: 34856329
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Step adaptive fast iterative shrinkage thresholding algorithm for compressively sampled MR imaging reconstruction.
    Wang W; Cao N
    Magn Reson Imaging; 2018 Nov; 53():89-97. PubMed ID: 29886107
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A convergence analysis for projected fast iterative soft-thresholding algorithm under radial sampling MRI.
    Qu B; Zhang Z; Chen Y; Qian C; Kang T; Lin J; Chen L; Wu Z; Wang J; Zheng G; Qu X
    J Magn Reson; 2023 Jun; 351():107425. PubMed ID: 37060889
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Compressively sampled MR image reconstruction using generalized thresholding iterative algorithm.
    Elahi S; Kaleem M; Omer H
    J Magn Reson; 2018 Jan; 286():91-98. PubMed ID: 29223565
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.
    Qu B; Zhang J; Kang T; Lin J; Lin M; She H; Wu Q; Wang M; Zheng G
    Comput Biol Med; 2024 Jan; 168():107707. PubMed ID: 38000244
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme.
    Mehranian A; Rad HS; Rahmim A; Ay MR; Zaidi H
    Magn Reson Imaging; 2013 Oct; 31(8):1399-411. PubMed ID: 23891179
    [TBL] [Abstract][Full Text] [Related]  

  • 10. XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.
    Zhou Y; Qian C; Guo Y; Wang Z; Wang J; Qu B; Guo D; You Y; Qu X
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3289-3292. PubMed ID: 34891943
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging.
    Liu Y; Cai JF; Zhan Z; Guo D; Ye J; Chen Z; Qu X
    PLoS One; 2015; 10(4):e0119584. PubMed ID: 25849209
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging.
    Wang S; Liu J; Peng X; Dong P; Liu Q; Liang D
    Biomed Res Int; 2016; 2016():2860643. PubMed ID: 27747226
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploiting the wavelet structure in compressed sensing MRI.
    Chen C; Huang J
    Magn Reson Imaging; 2014 Dec; 32(10):1377-89. PubMed ID: 25153483
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Compressed sensing MRI based on image decomposition model and group sparsity.
    Fan X; Lian Q; Shi B
    Magn Reson Imaging; 2019 Jul; 60():101-109. PubMed ID: 30910695
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Compressed sensing in magnetic resonance imaging using the multi-step Fresnel domain band split transformation.
    Ito S; Arai H; Yamada Y
    Magn Reson Med Sci; 2012; 11(4):243-52. PubMed ID: 23269011
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain.
    Yang B; Yuan M; Ma Y; Zhang J; Zhan K
    BMC Med Imaging; 2015 Aug; 15():28. PubMed ID: 26253135
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction.
    Geng C; Jiang M; Fang X; Li Y; Jin G; Chen A; Liu F
    Comput Methods Programs Biomed; 2023 Apr; 232():107440. PubMed ID: 36881983
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform.
    Lai Z; Qu X; Liu Y; Guo D; Ye J; Zhan Z; Chen Z
    Med Image Anal; 2016 Jan; 27():93-104. PubMed ID: 26096982
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accelerating Dynamic Cardiac MR imaging using structured sparse representation.
    Cai N; Wang S; Zhu S; Liang D
    Comput Math Methods Med; 2013; 2013():160139. PubMed ID: 24454528
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Resolution evaluation of MR images reconstructed by iterative thresholding algorithms for compressed sensing.
    Wech T; Stab D; Budich JC; Fischer A; Tran-Gia J; Hahn D; Kostler H
    Med Phys; 2012 Jul; 39(7):4328-38. PubMed ID: 22830766
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.