164 related articles for article (PubMed ID: 28438178)
1. Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy.
Wang J; Shi C
Biomed Eng Online; 2017 Apr; 16(1):49. PubMed ID: 28438178
[TBL] [Abstract][Full Text] [Related]
2. Automated 3-D PDM construction from segmented images using deformable models.
Kaus MR; Pekar V; Lorenz C; Truyen R; Lobregt S; Weese J
IEEE Trans Med Imaging; 2003 Aug; 22(8):1005-13. PubMed ID: 12906254
[TBL] [Abstract][Full Text] [Related]
3. Conditional variability of statistical shape models based on surrogate variables.
Blanc R; Reyes M; Seiler C; Székely G
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):84-91. PubMed ID: 20426099
[TBL] [Abstract][Full Text] [Related]
4. Automated segmentation of the femur and pelvis from 3D CT data of diseased hip using hierarchical statistical shape model of joint structure.
Yokota F; Okada T; Takao M; Sugano N; Tada Y; Sato Y
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):811-8. PubMed ID: 20426186
[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. 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]
7. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ
Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267
[TBL] [Abstract][Full Text] [Related]
8. Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.
Saito A; Nawano S; Shimizu A
Med Image Anal; 2016 Feb; 28():46-65. PubMed ID: 26716720
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of 3D correspondence methods for model building.
Styner MA; Rajamani KT; Nolte LP; Zsemlye G; Székely G; Taylor CJ; Davies RH
Inf Process Med Imaging; 2003 Jul; 18():63-75. PubMed ID: 15344447
[TBL] [Abstract][Full Text] [Related]
10. Robust deformable image registration using prior shape information for atlas to patient registration.
Ellingsen LM; Chintalapani G; Taylor RH; Prince JL
Comput Med Imaging Graph; 2010 Jan; 34(1):79-90. PubMed ID: 19515532
[TBL] [Abstract][Full Text] [Related]
11. An articulated statistical shape model for accurate hip joint segmentation.
Kainmueller D; Lamecker H; Zachow S; Hege HC
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6345-51. PubMed ID: 19964159
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deformable 2D-3D registration of the pelvis with a limited field of view, using shape statistics.
Sadowsky O; Chintalapani G; Taylor RH
Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):519-26. PubMed ID: 18044608
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. MRI bone segmentation using deformable models and shape priors.
Schmid J; Magnenat-Thalmann N
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):119-26. PubMed ID: 18979739
[TBL] [Abstract][Full Text] [Related]
16. Posterior shape models.
Albrecht T; Lüthi M; Gerig T; Vetter T
Med Image Anal; 2013 Dec; 17(8):959-73. PubMed ID: 23837968
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model.
He B; Huang C; Sharp G; Zhou S; Hu Q; Fang C; Fan Y; Jia F
Med Phys; 2016 May; 43(5):2421. PubMed ID: 27147353
[TBL] [Abstract][Full Text] [Related]
19. Femur statistical atlas construction based on two-level 3D non-rigid registration.
Wu C; Murtha PE; Jaramaz B
Comput Aided Surg; 2009; 14(4-6):83-99. PubMed ID: 20121588
[TBL] [Abstract][Full Text] [Related]
20. A new osteophyte segmentation algorithm using partial shape model and its applications to rabbit femur anterior cruciate ligament transection via micro-CT imaging.
Saha PK; Liang G; Elkins JM; Coimbra A; Duong LT; Williams DS; Sonka M
IEEE Trans Biomed Eng; 2011 Aug; 58(8):. PubMed ID: 21421428
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
