175 related articles for article (PubMed ID: 19336277)
1. Oriented active shape models.
Liu J; Udupa JK
IEEE Trans Med Imaging; 2009 Apr; 28(4):571-84. PubMed ID: 19336277
[TBL] [Abstract][Full Text] [Related]
2. An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.
Ali S; Madabhushi A
IEEE Trans Med Imaging; 2012 Jul; 31(7):1448-60. PubMed ID: 22498689
[TBL] [Abstract][Full Text] [Related]
3. Automatic anatomy recognition via multiobject oriented active shape models.
Chen X; Udupa JK; Alavi A; Torigian DA
Med Phys; 2010 Dec; 37(12):6390-401. PubMed ID: 21302796
[TBL] [Abstract][Full Text] [Related]
4. Hierarchical scale-based multiobject recognition of 3-D anatomical structures.
Bagci U; Chen X; Udupa JK
IEEE Trans Med Imaging; 2012 Mar; 31(3):777-89. PubMed ID: 22203704
[TBL] [Abstract][Full Text] [Related]
5. Minimal shape and intensity cost path segmentation.
Seghers D; Loeckx D; Maes F; Vandermeulen D; Suetens P
IEEE Trans Med Imaging; 2007 Aug; 26(8):1115-29. PubMed ID: 17695131
[TBL] [Abstract][Full Text] [Related]
6. 3D automatic anatomy segmentation based on iterative graph-cut-ASM.
Chen X; Bagci U
Med Phys; 2011 Aug; 38(8):4610-22. PubMed ID: 21928634
[TBL] [Abstract][Full Text] [Related]
7. An ultra-fast user-steered image segmentation paradigm: live wire on the fly.
Falcão AX; Udupa JK; Miyazawa FK
IEEE Trans Med Imaging; 2000 Jan; 19(1):55-62. PubMed ID: 10782619
[TBL] [Abstract][Full Text] [Related]
8. Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration.
Spiegel M; Hahn DA; Daum V; Wasza J; Hornegger J
Comput Med Imaging Graph; 2009 Jan; 33(1):29-39. PubMed ID: 19046849
[TBL] [Abstract][Full Text] [Related]
9. Cardiac segmentation by a velocity-aided active contour model.
Cho J; Benkeser PJ
Comput Med Imaging Graph; 2006 Jan; 30(1):31-41. PubMed ID: 16378714
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A generalized active shape model for segmentation of liver in low-contrast CT volumes.
Esfandiarkhani M; Foruzan AH
Comput Biol Med; 2017 Mar; 82():59-70. PubMed ID: 28161593
[TBL] [Abstract][Full Text] [Related]
12. Active volume models for medical image segmentation.
Shen T; Li H; Huang X
IEEE Trans Med Imaging; 2011 Mar; 30(3):774-91. PubMed ID: 21118771
[TBL] [Abstract][Full Text] [Related]
13. SPASM: a 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data.
van Assen HC; Danilouchkine MG; Frangi AF; Ordás S; Westenberg JJ; Reiber JH; Lelieveldt BP
Med Image Anal; 2006 Apr; 10(2):286-303. PubMed ID: 16439182
[TBL] [Abstract][Full Text] [Related]
14. Adaptive model initialization and deformation for automatic segmentation of T1-weighted brain MRI data.
Wu Z; Paulsen KD; Sullivan JM
IEEE Trans Biomed Eng; 2005 Jun; 52(6):1128-31. PubMed ID: 15977742
[TBL] [Abstract][Full Text] [Related]
15. Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.
Phellan R; Falcão AX; Udupa JK
Med Phys; 2016 Jan; 43(1):401. PubMed ID: 26745933
[TBL] [Abstract][Full Text] [Related]
16. A 3D generalization of user-steered live-wire segmentation.
Falcão AX; Udupa JK
Med Image Anal; 2000 Dec; 4(4):389-402. PubMed ID: 11154024
[TBL] [Abstract][Full Text] [Related]
17. Adaptive elastic segmentation of brain MRI via shape-model-guided evolutionary programming.
Pitiot A; Toga AW; Thompson PM
IEEE Trans Med Imaging; 2002 Aug; 21(8):910-23. PubMed ID: 12472264
[TBL] [Abstract][Full Text] [Related]
18. Automatic segmentation of magnetic resonance images using a decision tree with spatial information.
Chao WH; Chen YY; Lin SH; Shih YY; Tsang S
Comput Med Imaging Graph; 2009 Mar; 33(2):111-21. PubMed ID: 19097854
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A model-based, semi-global segmentation approach for automatic 3-D point landmark localization in neuroimages.
Liu J; Gao W; Huang S; Nowinski WL
IEEE Trans Med Imaging; 2008 Aug; 27(8):1034-44. PubMed ID: 18672421
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]