BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 20879219)

  • 1. Model-based esophagus segmentation from CT scans using a spatial probability map.
    Feulner J; Zhou SK; Huber M; Cavallaro A; Hornegger J; Comaniciu D
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 1):95-102. PubMed ID: 20879219
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A probabilistic model for automatic segmentation of the esophagus in 3-D CT scans.
    Feulner J; Zhou SK; Hammon M; Seifert S; Huber M; Comaniciu D; Hornegger J; Cavallaro A
    IEEE Trans Med Imaging; 2011 Jun; 30(6):1252-64. PubMed ID: 21303741
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fast automatic segmentation of the esophagus from 3D CT data using a probabilistic model.
    Feulner J; Zhou SK; Cavallaro A; Seifert S; Hornegger J; Comaniciu D
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):255-62. PubMed ID: 20425995
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Constructing a probabilistic model for automated liver region segmentation using non-contrast X-ray torso CT images.
    Zhou X; Kitagawa T; Hara T; Fujita H; Zhang X; Yokoyama R; Kondo H; Kanematsu M; Hoshi H
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):856-63. PubMed ID: 17354853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm.
    Wijesooriya K; Weiss E; Dill V; Dong L; Mohan R; Joshi S; Keall PJ
    Med Phys; 2008 Apr; 35(4):1251-60. PubMed ID: 18491517
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling of intensity priors for knowledge-based level set algorithm in calvarial tumors segmentation.
    Popovic A; Wu T; Engelhardt M; Radermacher K
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):864-71. PubMed ID: 17354854
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Atlas-driven lung lobe segmentation in volumetric X-ray CT images.
    Zhang L; Hoffman EA; Reinhardt JM
    IEEE Trans Med Imaging; 2006 Jan; 25(1):1-16. PubMed ID: 16398410
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.
    Feulner J; Zhou SK; Hammon M; Hornegger J; Comaniciu D
    Med Image Anal; 2013 Feb; 17(2):254-70. PubMed ID: 23246185
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spine segmentation using articulated shape models.
    Klinder T; Wolz R; Lorenz C; Franz A; Ostermann J
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):227-34. PubMed ID: 18979752
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sparse appearance learning based automatic coronary sinus segmentation in CTA.
    Lu S; Huang X; Wang Z; Zheng Y
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):779-87. PubMed ID: 25333190
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data.
    van Rikxoort EM; Prokop M; de Hoop B; Viergever MA; Pluim JP; van Ginneken B
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):263-71. PubMed ID: 20425996
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Supervised probabilistic segmentation of pulmonary nodules in CT scans.
    van Ginneken B
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):912-9. PubMed ID: 17354860
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improve threshold segmentation using features extraction to automatic lung delimitation.
    França C; Vasconcelos G; Diniz P; Melo P; Diniz J; Novaes M
    Stud Health Technol Inform; 2013; 192():1159. PubMed ID: 23920933
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Model-based segmentation using graph representations.
    Seghers D; Hermans J; Loeckx D; Maes F; Vandermeulen D; Suetens P
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):393-400. PubMed ID: 18979771
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images.
    Ruskó L; Bekes G; Fidrich M
    Med Image Anal; 2009 Dec; 13(6):871-82. PubMed ID: 19692288
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach.
    Dehmeshki J; Amin H; Valdivieso M; Ye X
    IEEE Trans Med Imaging; 2008 Apr; 27(4):467-80. PubMed ID: 18390344
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated model-based rib cage segmentation and labeling in CT images.
    Klinder T; Lorenz C; von Berg J; Dries SP; Bülow T; Ostermann J
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):195-202. PubMed ID: 18044569
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model.
    Okada T; Shimada R; Sato Y; Hori M; Yokota K; Nakamoto M; Chen YW; Nakamura H; Tamura S
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):86-93. PubMed ID: 18051047
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation.
    Linguraru MG; Sandberg JK; Li Z; Shah F; Summers RM
    Med Phys; 2010 Feb; 37(2):771-83. PubMed ID: 20229887
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Localized priors for the precise segmentation of individual vertebras from CT volume data.
    Shen H; Litvin A; Alvino C
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):367-75. PubMed ID: 18979768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.