BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 36652721)

  • 1. RMSim: controlled respiratory motion simulation on static patient scans.
    Lee D; Yorke E; Zarepisheh M; Nadeem S; Hu YC
    Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36652721
    [No Abstract]   [Full Text] [Related]  

  • 2. 4D-CT deformable image registration using multiscale unsupervised deep learning.
    Lei Y; Fu Y; Wang T; Liu Y; Patel P; Curran WJ; Liu T; Yang X
    Phys Med Biol; 2020 Apr; 65(8):085003. PubMed ID: 32097902
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deformable lung 4DCT image registration via landmark-driven cycle network.
    Matkovic L; Lei Y; Fu Y; Wang T; Kesarwala AH; Axente M; Roper J; Higgins K; Bradley JD; Liu T; Yang X
    Med Phys; 2024 Mar; 51(3):1974-1984. PubMed ID: 37708440
    [TBL] [Abstract][Full Text] [Related]  

  • 4. LungRegNet: An unsupervised deformable image registration method for 4D-CT lung.
    Fu Y; Lei Y; Wang T; Higgins K; Bradley JD; Curran WJ; Liu T; Yang X
    Med Phys; 2020 Apr; 47(4):1763-1774. PubMed ID: 32017141
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning based fast and accurate 3D CT deformable image registration in lung cancer.
    Ding Y; Feng H; Yang Y; Holmes J; Liu Z; Liu D; Wong WW; Yu NY; Sio TT; Schild SE; Li B; Liu W
    Med Phys; 2023 Nov; 50(11):6864-6880. PubMed ID: 37289193
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Four-dimensional computed tomography pulmonary ventilation images vary with deformable image registration algorithms and metrics.
    Yamamoto T; Kabus S; Klinder T; von Berg J; Lorenz C; Loo BW; Keall PJ
    Med Phys; 2011 Mar; 38(3):1348-58. PubMed ID: 21520845
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.
    Jiang Z; Yin FF; Ge Y; Ren L
    Phys Med Biol; 2020 Jan; 65(1):015011. PubMed ID: 31783390
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction.
    Madesta F; Sentker T; Gauer T; Werner R
    Med Phys; 2020 Nov; 47(11):5619-5631. PubMed ID: 33063329
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of lung treatment plans to evaluate DIR algorithms.
    Jurkovic IA; Stathakis S; Li Y; Patel A; Vincent J; Papanikolaou N; Mavroidis P
    Australas Phys Eng Sci Med; 2018 Dec; 41(4):837-845. PubMed ID: 30144019
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An adaptive motion regularization technique to support sliding motion in deformable image registration.
    Fu Y; Liu S; Li HH; Li H; Yang D
    Med Phys; 2018 Feb; 45(2):735-747. PubMed ID: 29251777
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A method to map errors in the deformable registration of 4DCT images.
    Vaman C; Staub D; Williamson J; Murphy MJ
    Med Phys; 2010 Nov; 37(11):5765-76. PubMed ID: 21158288
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An adversarial machine learning framework and biomechanical model-guided approach for computing 3D lung tissue elasticity from end-expiration 3DCT.
    Santhanam AP; Stiehl B; Lauria M; Hasse K; Barjaktarevic I; Goldin J; Low DA
    Med Phys; 2021 Feb; 48(2):667-675. PubMed ID: 32449519
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A neural network approach for fast, automated quantification of DIR performance.
    Neylon J; Min Y; Low DA; Santhanam A
    Med Phys; 2017 Aug; 44(8):4126-4138. PubMed ID: 28477340
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.
    Duetschler A; Bauman G; Bieri O; Cattin PC; Ehrbar S; Engin-Deniz G; Giger A; Josipovic M; Jud C; Krieger M; Nguyen D; Persson GF; Salomir R; Weber DC; Lomax AJ; Zhang Y
    Med Phys; 2022 May; 49(5):2890-2903. PubMed ID: 35239984
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dynamic volume vs respiratory correlated 4DCT for motion assessment in radiation therapy simulation.
    Coolens C; Bracken J; Driscoll B; Hope A; Jaffray D
    Med Phys; 2012 May; 39(5):2669-81. PubMed ID: 22559637
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modeling respiratory motion for reducing motion artifacts in 4D CT images.
    Zhang Y; Yang J; Zhang L; Court LE; Balter PA; Dong L
    Med Phys; 2013 Apr; 40(4):041716. PubMed ID: 23556886
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deformable CT image registration via a dual feasible neural network.
    Lei Y; Fu Y; Tian Z; Wang T; Dai X; Roper J; Yu DS; McDonald M; Bradley JD; Liu T; Zhou J; Yang X
    Med Phys; 2022 Dec; 49(12):7545-7554. PubMed ID: 35869866
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lung-CRNet: A convolutional recurrent neural network for lung 4DCT image registration.
    Lu J; Jin R; Song E; Ma G; Wang M
    Med Phys; 2021 Dec; 48(12):7900-7912. PubMed ID: 34726267
    [TBL] [Abstract][Full Text] [Related]  

  • 19. U-net-based deformation vector field estimation for motion-compensated 4D-CBCT reconstruction.
    Huang X; Zhang Y; Chen L; Wang J
    Med Phys; 2020 Jul; 47(7):3000-3012. PubMed ID: 32198934
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms.
    Chang Y; Jiang Z; Segars WP; Zhang Z; Lafata K; Cai J; Yin FF; Ren L
    Phys Med Biol; 2021 May; 66(11):. PubMed ID: 34061044
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.