142 related articles for article (PubMed ID: 21303741)
1. 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]
2. 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]
3. 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]
4. Geometrical model-based segmentation of the organs of sight on CT images.
Bekes G; Máté E; Nyúl LG; Kuba A; Fidrich M
Med Phys; 2008 Feb; 35(2):735-43. PubMed ID: 18383695
[TBL] [Abstract][Full Text] [Related]
5. A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images.
Tomoshige S; Oost E; Shimizu A; Watanabe H; Nawano S
Med Image Anal; 2014 Jan; 18(1):130-43. PubMed ID: 24184436
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation.
Häme Y; Pollari M
Med Image Anal; 2012 Jan; 16(1):140-9. PubMed ID: 21742543
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A generic probabilistic active shape model for organ segmentation.
Wimmer A; Soza G; Hornegger J
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):26-33. PubMed ID: 20426092
[TBL] [Abstract][Full Text] [Related]
10. A 4D statistical shape model for automated segmentation of lungs with large tumors.
Wilms M; Ehrhardt J; Handels H
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):347-54. PubMed ID: 23286067
[TBL] [Abstract][Full Text] [Related]
11. Atlas-based automated segmentation of spleen and liver using adaptive enhancement estimation.
Linguraru MG; Sandberg JK; Li Z; Pura JA; Summers RM
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):1001-8. PubMed ID: 20426209
[TBL] [Abstract][Full Text] [Related]
12. Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images.
Chu C; Oda M; Kitasaka T; Misawa K; Fujiwara M; Hayashi Y; Nimura Y; Rueckert D; Mori K
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):165-72. PubMed ID: 24579137
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. A novel lung nodules detection scheme based on vessel segmentation on CT images.
Jia T; Zhang H; Meng H
Biomed Mater Eng; 2014; 24(6):3179-86. PubMed ID: 25227026
[TBL] [Abstract][Full Text] [Related]
16. Automatic segmentation of bladder and prostate using coupled 3D deformable models.
Costa MJ; Delingette H; Novellas S; Ayache N
Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):252-60. PubMed ID: 18051066
[TBL] [Abstract][Full Text] [Related]
17. Granular computing in model based abdominal organs detection.
Juszczyk J; Pietka E; Pyciński B
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():121-30. PubMed ID: 25804441
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Validation of bone segmentation and improved 3-D registration using contour coherency in CT data.
Wang LI; Greenspan M; Ellis R
IEEE Trans Med Imaging; 2006 Mar; 25(3):324-34. PubMed ID: 16524088
[TBL] [Abstract][Full Text] [Related]
20. 3D segmentation of coronary arteries based on advanced mathematical morphology techniques.
Bouraoui B; Ronse C; Baruthio J; Passat N; Germain P
Comput Med Imaging Graph; 2010 Jul; 34(5):377-87. PubMed ID: 20153604
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
