BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 21761643)

  • 1. Combining generative and discriminative models for semantic segmentation of CT scans via active learning.
    Iglesias JE; Konukoglu E; Montillo A; Tu Z; Criminisi A
    Inf Process Med Imaging; 2011; 22():25-36. PubMed ID: 21761643
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Laplacian forests: semantic image segmentation by guided bagging.
    Lombaert H; Zikic D; Criminisi A; Ayache N
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):496-504. PubMed ID: 25485416
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Precise segmentation of multiple organs in CT volumes using learning-based approach and information theory.
    Lu C; Zheng Y; Birkbeck N; Zhang J; Kohlberger T; Tietjen C; Boettger T; Duncan JS; Zhou SK
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):462-9. PubMed ID: 23286081
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.
    Awad J; Owrangi A; Villemaire L; O'Riordan E; Parraga G; Fenster A
    Med Phys; 2012 Feb; 39(2):851-65. PubMed ID: 22320795
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans.
    Glocker B; Feulner J; Criminisi A; Haynor DR; Konukoglu E
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):590-8. PubMed ID: 23286179
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Entangled decision forests and their application for semantic segmentation of CT images.
    Montillo A; Shotton J; Winn J; Iglesias JE; Metaxas D; Criminisi A
    Inf Process Med Imaging; 2011; 22():184-96. PubMed ID: 21761656
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements.
    Chen C; Xie W; Franke J; Grutzner PA; Nolte LP; Zheng G
    Med Image Anal; 2014 Apr; 18(3):487-99. PubMed ID: 24561486
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans.
    Tschirren J; Hoffman EA; McLennan G; Sonka M
    IEEE Trans Med Imaging; 2005 Dec; 24(12):1529-39. PubMed ID: 16353370
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data.
    Staal J; van Ginneken B; Viergever MA
    Med Image Anal; 2007 Feb; 11(1):35-46. PubMed ID: 17126065
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Medical image analysis of 3D CT images based on extension of Haralick texture features.
    Tesar L; Shimizu A; Smutek D; Kobatake H; Nawano S
    Comput Med Imaging Graph; 2008 Sep; 32(6):513-20. PubMed ID: 18614335
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.
    Okada T; Linguraru MG; Hori M; Summers RM; Tomiyama N; Sato Y
    Med Image Anal; 2015 Dec; 26(1):1-18. PubMed ID: 26277022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Weights and topology: a study of the effects of graph construction on 3D image segmentation.
    Grady L; Jolly MP
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):153-61. PubMed ID: 18979743
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic localization of solid organs on 3D CT images by a collaborative majority voting decision based on ensemble learning.
    Zhou X; Wang S; Chen H; Hara T; Yokoyama R; Kanematsu M; Fujita H
    Comput Med Imaging Graph; 2012 Jun; 36(4):304-13. PubMed ID: 22421130
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic detection and segmentation of kidneys in 3D CT images using random forests.
    Cuingnet R; Prevost R; Lesage D; Cohen LD; Mory B; Ardon R
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):66-74. PubMed ID: 23286115
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. On simulating subjective evaluation using combined objective metrics for validation of 3D tumor segmentation.
    Deng X; Zhu L; Sun Y; Xu C; Song L; Chen J; Merges RD; Jolly MP; Suehling M; Xu X
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):977-84. PubMed ID: 18051153
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Segmentation of thin structures in volumetric medical images.
    Holtzman-Gazit M; Kimmel R; Peled N; Goldsher D
    IEEE Trans Image Process; 2006 Feb; 15(2):354-63. PubMed ID: 16479805
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.
    Xu Z; Bagci U; Foster B; Mansoor A; Udupa JK; Mollura DJ
    Med Image Anal; 2015 Aug; 24(1):1-17. PubMed ID: 26026778
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.