BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

132 related articles for article (PubMed ID: 35228146)

  • 1. Multi-modal feature-fusion for CT metal artifact reduction using edge-enhanced generative adversarial networks.
    Huang Z; Zhang G; Lin J; Pang Y; Wang H; Bai T; Zhong L
    Comput Methods Programs Biomed; 2022 Apr; 217():106700. PubMed ID: 35228146
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inpainting the metal artifact region in MRI images by using generative adversarial networks with gated convolution.
    Xie K; Gao L; Lu Z; Li C; Xi Q; Zhang F; Sun J; Lin T; Sui J; Ni X
    Med Phys; 2022 Oct; 49(10):6424-6438. PubMed ID: 35982470
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks.
    Wang Z; Vandersteen C; Demarcy T; Gnansia D; Raffaelli C; Guevara N; Delingette H
    Comput Med Imaging Graph; 2021 Oct; 93():101990. PubMed ID: 34607275
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MARGANVAC: metal artifact reduction method based on generative adversarial network with variable constraints.
    Li G; Ji L; You C; Gao S; Zhou L; Bai K; Luo S; Gu N
    Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37696272
    [No Abstract]   [Full Text] [Related]  

  • 5. An Innovative Metal Artifact Reduction Algorithm based on Res-U-Net GANs.
    Zhang Z; Yang M; Xu L; Yang J; Guo H; Wang J
    Curr Med Imaging; 2023; 19(13):1549-1560. PubMed ID: 36799418
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.
    Hu Z; Jiang C; Sun F; Zhang Q; Ge Y; Yang Y; Liu X; Zheng H; Liang D
    Med Phys; 2019 Apr; 46(4):1686-1696. PubMed ID: 30697765
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising.
    Zhang X; Han Z; Shangguan H; Han X; Cui X; Wang A
    IEEE Trans Med Imaging; 2021 Dec; 40(12):3901-3918. PubMed ID: 34329159
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear.
    Wang J; Zhao Y; Noble JH; Dawant BM
    Med Image Comput Comput Assist Interv; 2018 Sep; 11070():3-11. PubMed ID: 30693351
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A semi-supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction.
    Shi Z; Wang N; Kong F; Cao H; Cao Q
    Med Phys; 2022 Jun; 49(6):3845-3859. PubMed ID: 35322430
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Artifact-Assisted multi-level and multi-scale feature fusion attention network for low-dose CT denoising.
    Cui X; Guo Y; Zhang X; Shangguan H; Liu B; Wang A
    J Xray Sci Technol; 2022; 30(5):875-889. PubMed ID: 35694948
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction.
    Peng C; Qiu B; Li M; Guan Y; Zhang C; Wu Z; Zheng J
    Biomed Eng Online; 2017 Jan; 16(1):1. PubMed ID: 28086973
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sinogram domain metal artifact correction of CT via deep learning.
    Zhu Y; Zhao H; Wang T; Deng L; Yang Y; Jiang Y; Li N; Chan Y; Dai J; Zhang C; Li Y; Xie Y; Liang X
    Comput Biol Med; 2023 Mar; 155():106710. PubMed ID: 36842222
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Metal artifact reduction on cervical CT images by deep residual learning.
    Huang X; Wang J; Tang F; Zhong T; Zhang Y
    Biomed Eng Online; 2018 Nov; 17(1):175. PubMed ID: 30482231
    [TBL] [Abstract][Full Text] [Related]  

  • 14. STEDNet: Swin transformer-based encoder-decoder network for noise reduction in low-dose CT.
    Zhu L; Han Y; Xi X; Fu H; Tan S; Liu M; Yang S; Liu C; Li L; Yan B
    Med Phys; 2023 Jul; 50(7):4443-4458. PubMed ID: 36708286
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT artifact correction for sparse and truncated projection data using generative adversarial networks.
    Podgorsak AR; Shiraz Bhurwani MM; Ionita CN
    Med Phys; 2021 Feb; 48(2):615-626. PubMed ID: 32996149
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Motion artifact removal in coronary CT angiography based on generative adversarial networks.
    Zhang L; Jiang B; Chen Q; Wang L; Zhao K; Zhang Y; Vliegenthart R; Xie X
    Eur Radiol; 2023 Jan; 33(1):43-53. PubMed ID: 35829786
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
    Shi Z; Li H; Cao Q; Wang Z; Cheng M
    Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new dental CBCT metal artifact reduction method based on a dual-domain processing framework.
    Tang H; Lin YB; Jiang SD; Li Y; Li T; Bao XD
    Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37524084
    [No Abstract]   [Full Text] [Related]  

  • 19. An irregular metal trace inpainting network for x-ray CT metal artifact reduction.
    Peng C; Li B; Li M; Wang H; Zhao Z; Qiu B; Chen DZ
    Med Phys; 2020 Sep; 47(9):4087-4100. PubMed ID: 32463485
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A metal artifact reduction scheme in CT by a Poisson fusion sinogram based postprocessing method.
    Tang H; Lin YB; Sun GY; Bao XD
    J Xray Sci Technol; 2021; 29(2):245-257. PubMed ID: 33459687
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.