261 related articles for article (PubMed ID: 20879210)
1. Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model.
Ma J; Lu L; Zhan Y; Zhou X; Salganicoff M; Krishnan A
Med Image Comput Comput Assist Interv; 2010; 13(Pt 1):19-27. PubMed ID: 20879210
[TBL] [Abstract][Full Text] [Related]
2. Automated model-based vertebra detection, identification, and segmentation in CT images.
Klinder T; Ostermann J; Ehm M; Franz A; Kneser R; Lorenz C
Med Image Anal; 2009 Jun; 13(3):471-82. PubMed ID: 19285910
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Development of a population-based model of surface segmentation uncertainties for uncertainty-weighted deformable image registrations.
Wu J; Murphy MJ; Weiss E; Sleeman WC; Williamson J
Med Phys; 2010 Feb; 37(2):607-14. PubMed ID: 20229869
[TBL] [Abstract][Full Text] [Related]
6. A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation.
Heimann T; Münzing S; Meinzer HP; Wolf I
Inf Process Med Imaging; 2007; 20():1-12. PubMed ID: 17633684
[TBL] [Abstract][Full Text] [Related]
7. Appearance models for robust segmentation of pulmonary nodules in 3D LDCT chest images.
Farag AA; El-Baz A; Gimel'farb G; Falk R; El-Ghar MA; Eldiasty T; Elshazly S
Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):662-70. PubMed ID: 17354947
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A multi-center milestone study of clinical vertebral CT segmentation.
Yao J; Burns JE; Forsberg D; Seitel A; Rasoulian A; Abolmaesumi P; Hammernik K; Urschler M; Ibragimov B; Korez R; Vrtovec T; Castro-Mateos I; Pozo JM; Frangi AF; Summers RM; Li S
Comput Med Imaging Graph; 2016 Apr; 49():16-28. PubMed ID: 26878138
[TBL] [Abstract][Full Text] [Related]
10. Mediastinal atlas creation from 3-D chest computed tomography images: application to automated detection and station mapping of lymph nodes.
Feuerstein M; Glocker B; Kitasaka T; Nakamura Y; Iwano S; Mori K
Med Image Anal; 2012 Jan; 16(1):63-74. PubMed ID: 21641269
[TBL] [Abstract][Full Text] [Related]
11. Semiautomated four-dimensional computed tomography segmentation using deformable models.
Ragan D; Starkschall G; McNutt T; Kaus M; Guerrero T; Stevens CW
Med Phys; 2005 Jul; 32(7):2254-61. PubMed ID: 16121580
[TBL] [Abstract][Full Text] [Related]
12. Multi-object segmentation using shape particles.
de Bruijne M; Nielsen M
Inf Process Med Imaging; 2005; 19():762-73. PubMed ID: 17354742
[TBL] [Abstract][Full Text] [Related]
13. Automatic inference of articulated spine models in CT images using high-order Markov Random Fields.
Kadoury S; Labelle H; Paragios N
Med Image Anal; 2011 Aug; 15(4):426-37. PubMed ID: 21354853
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
19. Model-based segmentation of medical imagery by matching distributions.
Freedman D; Radke RJ; Zhang T; Jeong Y; Lovelock DM; Chen GT
IEEE Trans Med Imaging; 2005 Mar; 24(3):281-92. PubMed ID: 15754979
[TBL] [Abstract][Full Text] [Related]
20. Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT.
Vandemeulebroucke J; Bernard O; Rit S; Kybic J; Clarysse P; Sarrut D
Med Phys; 2012 Feb; 39(2):1006-15. PubMed ID: 22320810
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]