257 related articles for article (PubMed ID: 18995190)
21. Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Li C; Wang X; Xia Y; Eberl S; Yin Y; Feng DD
Comput Methods Programs Biomed; 2012 Aug; 107(2):164-74. PubMed ID: 21855163
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. 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]
25. Semiautomatic segmentation of liver metastases on volumetric CT images.
Yan J; Schwartz LH; Zhao B
Med Phys; 2015 Nov; 42(11):6283-93. PubMed ID: 26520721
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Wang J; Cheng Y; Guo C; Wang Y; Tamura S
Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416
[TBL] [Abstract][Full Text] [Related]
28. Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography.
Kemmling A; Wersching H; Berger K; Knecht S; Groden C; Nölte I
Clin Neuroradiol; 2012 Mar; 22(1):79-91. PubMed ID: 22270832
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models.
Dornheim J; Seim H; Preim B; Hertel I; Strauss G
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):904-11. PubMed ID: 17354859
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Interactive Segmentation of Pancreases in Abdominal Computed Tomography Images and Its Evaluation Based on Segmentation Accuracy and Interaction Costs.
Takizawa H; Suzuki T; Kudo H; Okada T
Biomed Res Int; 2017; 2017():5094592. PubMed ID: 29082247
[TBL] [Abstract][Full Text] [Related]
33. A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.
Wang G; Zhang S; Xie H; Metaxas DN; Gu L
Med Image Anal; 2015 Jan; 19(1):176-86. PubMed ID: 25461336
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Blood vessel-based liver segmentation using the portal phase of an abdominal CT dataset.
Maklad AS; Matsuhiro M; Suzuki H; Kawata Y; Niki N; Satake M; Moriyama N; Utsunomiya T; Shimada M
Med Phys; 2013 Nov; 40(11):113501. PubMed ID: 24320472
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Automated CT segmentation of diseased hip using hierarchical and conditional statistical shape models.
Yokota F; Okada T; Takao M; Sugano N; Tada Y; Tomiyama N; Sato Y
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):190-7. PubMed ID: 24579140
[TBL] [Abstract][Full Text] [Related]
38. Liver segmentation using sparse 3D prior models with optimal data support.
Florin C; Paragios N; Funka-Lea G; Williams J
Inf Process Med Imaging; 2007; 20():38-49. PubMed ID: 17633687
[TBL] [Abstract][Full Text] [Related]
39. Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from a single standard AP x-ray radiograph.
Zheng G
Med Phys; 2010 Apr; 37(4):1424-39. PubMed ID: 20443464
[TBL] [Abstract][Full Text] [Related]
40. Automatic liver segmentation using a statistical shape model with optimal surface detection.
Zhang X; Tian J; Deng K; Wu Y; Li X
IEEE Trans Biomed Eng; 2010 Oct; 57(10):2622-6. PubMed ID: 20615804
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]