BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 18051113)

  • 1. Modeling glioma growth and mass effect in 3D MR images of the brain.
    Hogea C; Davatzikos C; Biros G
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):642-50. PubMed ID: 18051113
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiscale modeling for image analysis of brain tumor studies.
    Bauer S; May C; Dionysiou D; Stamatakos G; Büchler P; Reyes M
    IEEE Trans Biomed Eng; 2012 Jan; 59(1):25-9. PubMed ID: 21813362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Brain glioma growth model using reaction-diffusion equation with viscous stress tensor on brain MR images.
    Yuan J; Liu L
    Magn Reson Imaging; 2016 Feb; 34(2):114-9. PubMed ID: 26518060
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects.
    Hogea C; Davatzikos C; Biros G
    J Math Biol; 2008 Jun; 56(6):793-825. PubMed ID: 18026731
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extrapolating glioma invasion margin in brain magnetic resonance images: suggesting new irradiation margins.
    Konukoglu E; Clatz O; Bondiau PY; Delingette H; Ayache N
    Med Image Anal; 2010 Apr; 14(2):111-25. PubMed ID: 20042359
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Differential MRI analysis for quantification of low grade glioma growth.
    Angelini ED; Delon J; Bah AB; Capelle L; Mandonnet E
    Med Image Anal; 2012 Jan; 16(1):114-26. PubMed ID: 21911309
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Towards an identification of tumor growth parameters from time series of images.
    Konukoglu E; Clatz O; Bondiau PY; Sermesant M; Delingette H; Ayache N
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):549-56. PubMed ID: 18051102
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation.
    Clatz O; Sermesant M; Bondiau PY; Delingette H; Warfield SK; Malandain G; Ayache N
    IEEE Trans Med Imaging; 2005 Oct; 24(10):1334-46. PubMed ID: 16229419
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets.
    Jiang J; Wu Y; Huang M; Yang W; Chen W; Feng Q
    Comput Med Imaging Graph; 2013; 37(7-8):512-21. PubMed ID: 23816459
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A generative approach for image-based modeling of tumor growth.
    Menze BH; Van Leemput K; Honkela A; Konukoglu E; Weber MA; Ayache N; Golland P
    Inf Process Med Imaging; 2011; 22():735-47. PubMed ID: 21761700
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Joint tumor segmentation and dense deformable registration of brain MR images.
    Parisot S; Duffau H; Chemouny S; Paragios N
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):651-8. PubMed ID: 23286104
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust nonrigid registration to capture brain shift from intraoperative MRI.
    Clatz O; Delingette H; Talos IF; Golby AJ; Kikinis R; Jolesz FA; Ayache N; Warfield SK
    IEEE Trans Med Imaging; 2005 Nov; 24(11):1417-27. PubMed ID: 16279079
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deformable registration of brain tumor images via a statistical model of tumor-induced deformation.
    Mohamed A; Shen D; Davatzikos C
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 2):263-70. PubMed ID: 16685968
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect.
    Subramanian S; Gholami A; Biros G
    J Math Biol; 2019 Aug; 79(3):941-967. PubMed ID: 31127329
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comparative study of biomechanical simulators in deformable registration of brain tumor images.
    Zacharaki EI; Hogea CS; Biros G; Davatzikos C
    IEEE Trans Biomed Eng; 2008 Mar; 55(3):1233-6. PubMed ID: 18334420
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation.
    Corso JJ; Sharon E; Yuille A
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):790-8. PubMed ID: 17354845
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach.
    Njeh I; Sallemi L; Ayed IB; Chtourou K; Lehericy S; Galanaud D; Hamida AB
    Comput Med Imaging Graph; 2015 Mar; 40():108-19. PubMed ID: 25467804
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A robust framework for soft tissue simulations with application to modeling brain tumor mass effect in 3D MR images.
    Hogea C; Biros G; Abraham F; Davatzikos C
    Phys Med Biol; 2007 Dec; 52(23):6893-908. PubMed ID: 18029982
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic parameter optimization for de-noising MR data.
    Castellanos J; Rohr K; Tolxdorff T; Wagenknecht G
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 2):320-7. PubMed ID: 16685975
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tumor invasion margin on the Riemannian space of brain fibers.
    Mosayebi P; Cobzas D; Murtha A; Jagersand M
    Med Image Anal; 2012 Feb; 16(2):361-73. PubMed ID: 22154876
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.