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 *

191 related articles for article (PubMed ID: 33129140)

  • 1. Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
    Xia Y; Zhang L; Ravikumar N; Attar R; Piechnik SK; Neubauer S; Petersen SE; Frangi AF
    Med Image Anal; 2021 Jan; 67():101812. PubMed ID: 33129140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.
    Xia Y; Ravikumar N; Greenwood JP; Neubauer S; Petersen SE; Frangi AF
    Med Image Anal; 2021 Jul; 71():102037. PubMed ID: 33910110
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning to complete incomplete hearts for population analysis of cardiac MR images.
    Xia Y; Ravikumar N; Frangi AF
    Med Image Anal; 2022 Apr; 77():102354. PubMed ID: 35081509
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
    Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
    Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
    Johnson PM; Drangova M
    Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High quality and fast compressed sensing MRI reconstruction via edge-enhanced dual discriminator generative adversarial network.
    Li Y; Li J; Ma F; Du S; Liu Y
    Magn Reson Imaging; 2021 Apr; 77():124-136. PubMed ID: 33359427
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation.
    Zhu L; He Q; Huang Y; Zhang Z; Zeng J; Lu L; Kong W; Zhou F
    Comput Biol Med; 2022 May; 144():105387. PubMed ID: 35305502
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Perception-oriented generative adversarial network for retinal fundus image super-resolution.
    Zhao L; Chi H; Zhong T; Jia Y
    Comput Biol Med; 2024 Jan; 168():107708. PubMed ID: 37995535
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Retrospective motion correction for preclinical/clinical magnetic resonance imaging based on a conditional generative adversarial network with entropy loss.
    Bao Q; Chen Y; Bai C; Li P; Liu K; Li Z; Zhang Z; Wang J; Liu C
    NMR Biomed; 2022 Dec; 35(12):e4809. PubMed ID: 35925046
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi-supervised generative adversarial networks for the segmentation of the left ventricle in pediatric MRI.
    Decourt C; Duong L
    Comput Biol Med; 2020 Aug; 123():103884. PubMed ID: 32658792
    [TBL] [Abstract][Full Text] [Related]  

  • 11. FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution.
    Jiang M; Zhi M; Wei L; Yang X; Zhang J; Li Y; Wang P; Huang J; Yang G
    Comput Med Imaging Graph; 2021 Sep; 92():101969. PubMed ID: 34411966
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator.
    Wu H; Lu X; Lei B; Wen Z
    Med Image Anal; 2021 Feb; 68():101891. PubMed ID: 33260108
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparative analysis of U-Net and TLMDB GAN for the cardiovascular segmentation of the ventricles in the heart.
    Zhang Y; Feng J; Guo X; Ren Y
    Comput Methods Programs Biomed; 2022 Mar; 215():106614. PubMed ID: 35066315
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A feature invariant generative adversarial network for head and neck MRI/CT image synthesis.
    Touati R; Le WT; Kadoury S
    Phys Med Biol; 2021 Apr; 66(9):. PubMed ID: 33761478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
    Yu B; Zhou L; Wang L; Shi Y; Fripp J; Bourgeat P
    IEEE Trans Med Imaging; 2019 Jul; 38(7):1750-1762. PubMed ID: 30714911
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRI restoration using edge-guided adversarial learning.
    Chai Y; Xu B; Zhang K; Lepore N; Wood J
    IEEE Access; 2020; 8():83858-83870. PubMed ID: 33747672
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data.
    Wang Y; Li D; Li X; Yang M
    Neural Netw; 2021 Sep; 141():395-403. PubMed ID: 34139636
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy.
    Qi M; Li Y; Wu A; Jia Q; Li B; Sun W; Dai Z; Lu X; Zhou L; Deng X; Song T
    Med Phys; 2020 Apr; 47(4):1880-1894. PubMed ID: 32027027
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
    Wang Y; Yu B; Wang L; Zu C; Lalush DS; Lin W; Wu X; Zhou J; Shen D; Zhou L
    Neuroimage; 2018 Jul; 174():550-562. PubMed ID: 29571715
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.