BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 29870369)

  • 41. Texture-aware dual domain mapping model for low-dose CT reconstruction.
    Wang H; Zhao X; Liu W; Li LC; Ma J; Guo L
    Med Phys; 2022 Jun; 49(6):3860-3873. PubMed ID: 35297051
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Superiorization-inspired unrolled SART algorithm with U-Net generated perturbations for sparse-view and limited-angle CT reconstruction.
    Jia Y; McMichael N; Mokarzel P; Thompson B; Si D; Humphries T
    Phys Med Biol; 2022 Dec; 67(24):. PubMed ID: 36541524
    [No Abstract]   [Full Text] [Related]  

  • 43. Multi-scale dilated dense reconstruction network for limited-angle computed tomography.
    Zhou H; Zhu Y; Zhang H; Zhao X; Zhang P
    Phys Med Biol; 2023 Mar; 68(7):. PubMed ID: 36821860
    [No Abstract]   [Full Text] [Related]  

  • 44. CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction.
    Gupta H; Jin KH; Nguyen HQ; McCann MT; Unser M
    IEEE Trans Med Imaging; 2018 Jun; 37(6):1440-1453. PubMed ID: 29870372
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Low-Dose CT Image Denoising Based on Improved DD-Net and Local Filtered Mechanism.
    Liu H; Jin X; Liu L; Jin X
    Comput Intell Neurosci; 2022; 2022():2692301. PubMed ID: 35965772
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Development of a chest digital tomosynthesis R/F system and implementation of low-dose GPU-accelerated compressed sensing (CS) image reconstruction.
    Choi S; Lee H; Lee D; Choi S; Lee CL; Kwon W; Shin J; Seo CW; Kim HJ
    Med Phys; 2018 May; 45(5):1871-1888. PubMed ID: 29500855
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.
    Chen H; Zhang Y; Kalra MK; Lin F; Chen Y; Liao P; Zhou J; Wang G
    IEEE Trans Med Imaging; 2017 Dec; 36(12):2524-2535. PubMed ID: 28622671
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomography.
    Zhang Z; Yu L; Zhao W; Xing L
    Med Phys; 2021 May; 48(5):2245-2257. PubMed ID: 33595900
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Iterative image reconstruction for ultra-low-dose CT with a combined low-mAs and sparse-view protocol.
    Zhang Y; Huang J; Ma J; Zhang H; Bian Z; Zeng D; Gao Y; Chen W
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5107-10. PubMed ID: 24110884
    [TBL] [Abstract][Full Text] [Related]  

  • 50. NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image.
    Tao Z; Bingqiang H; Huiling L; Zaoli Y; Hongbin S
    Biomed Res Int; 2020; 2020():6636321. PubMed ID: 33490248
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Synchronized multiartifact reduction with tomographic reconstruction (SMART-RECON): A statistical model based iterative image reconstruction method to eliminate limited-view artifacts and to mitigate the temporal-average artifacts in time-resolved CT.
    Chen GH; Li Y
    Med Phys; 2015 Aug; 42(8):4698-707. PubMed ID: 26233197
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction.
    Nien H; Fessler JA
    IEEE Trans Med Imaging; 2016 Apr; 35(4):1090-8. PubMed ID: 26685227
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Spatial resolution improvement and dose reduction potential for inner ear CT imaging using a z-axis deconvolution technique.
    McCollough CH; Leng S; Sunnegardh J; Vrieze TJ; Yu L; Lane J; Raupach R; Stierstorfer K; Flohr T
    Med Phys; 2013 Jun; 40(6):061904. PubMed ID: 23718595
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Role of compressive sensing technique in dose reduction for chest computed tomography: a prospective blinded clinical study.
    Khawaja RD; Singh S; Lira D; Bippus R; Do S; Padole A; Pourjabbar S; Koehler T; Shepard JA; Kalra MK
    J Comput Assist Tomogr; 2014; 38(5):760-7. PubMed ID: 24834892
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Basics of iterative reconstruction methods in computed tomography: A vendor-independent overview.
    Stiller W
    Eur J Radiol; 2018 Dec; 109():147-154. PubMed ID: 30527298
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Assessment of structural similarity in CT using filtered backprojection and iterative reconstruction: a phantom study with 3D printed lung vessels.
    Joemai RMS; Geleijns J
    Br J Radiol; 2017 Nov; 90(1079):20160519. PubMed ID: 28830200
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging.
    Wu X; Gao P; Zhang P; Shang Y; He B; Zhang L; Jiang J; Hui H; Tian J
    Comput Biol Med; 2023 May; 158():106809. PubMed ID: 37004433
    [TBL] [Abstract][Full Text] [Related]  

  • 58. One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection.
    Han Y; Ye JC
    Med Phys; 2019 Dec; 46(12):e855-e872. PubMed ID: 31811795
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view.
    Khural BS; Baer-Beck M; Fournié E; Stierstorfer K; Huang Y; Maier A
    Biomed Phys Eng Express; 2022 Feb; 8(2):. PubMed ID: 34983885
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Sparse-view and limited-angle CT reconstruction with untrained networks and deep image prior.
    Shu Z; Entezari A
    Comput Methods Programs Biomed; 2022 Nov; 226():107167. PubMed ID: 36272306
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.