139 related articles for article (PubMed ID: 20075476)
1. OBJCUT: efficient segmentation using top-down and bottom-up cues.
Kumar MP; Torr PH; Zisserman A
IEEE Trans Pattern Anal Mach Intell; 2010 Mar; 32(3):530-45. PubMed ID: 20075476
[TBL] [Abstract][Full Text] [Related]
2. Elastic model-based segmentation of 3-D neuroradiological data sets.
Kelemen A; Székely G; Gerig G
IEEE Trans Med Imaging; 1999 Oct; 18(10):828-39. PubMed ID: 10628943
[TBL] [Abstract][Full Text] [Related]
3. A dynamic conditional random field model for foreground and shadow segmentation.
Wang Y; Loe KF; Wu JK
IEEE Trans Pattern Anal Mach Intell; 2006 Feb; 28(2):279-89. PubMed ID: 16468623
[TBL] [Abstract][Full Text] [Related]
4. 3-D object recognition using 2-D views.
Li W; Bebis G; Bourbakis NG
IEEE Trans Image Process; 2008 Nov; 17(11):2236-55. PubMed ID: 18854254
[TBL] [Abstract][Full Text] [Related]
5. Synergy between object recognition and image segmentation using the expectation-maximization algorithm.
Kokkinos I; Maragos P
IEEE Trans Pattern Anal Mach Intell; 2009 Aug; 31(8):1486-501. PubMed ID: 19542581
[TBL] [Abstract][Full Text] [Related]
6. Object localization and border detection criteria design in edge-based image segmentation: automated learning from examples.
Brejl M; Sonka M
IEEE Trans Med Imaging; 2000 Oct; 19(10):973-85. PubMed ID: 11131495
[TBL] [Abstract][Full Text] [Related]
7. Combined top-down/bottom-up segmentation.
Borenstein E; Ullman S
IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2109-25. PubMed ID: 18988946
[TBL] [Abstract][Full Text] [Related]
8. A hybrid framework for 3D medical image segmentation.
Chen T; Metaxas D
Med Image Anal; 2005 Dec; 9(6):547-65. PubMed ID: 15896997
[TBL] [Abstract][Full Text] [Related]
9. Learning a hierarchical deformable template for rapid deformable object parsing.
Zhu LL; Chen Y; Yuille A
IEEE Trans Pattern Anal Mach Intell; 2010 Jun; 32(6):1029-43. PubMed ID: 20431129
[TBL] [Abstract][Full Text] [Related]
10. Foreground object detection using top-down information based on EM framework.
Liu Z; Huang K; Tan T
IEEE Trans Image Process; 2012 Sep; 21(9):4204-17. PubMed ID: 22645266
[TBL] [Abstract][Full Text] [Related]
11. Segmentation according to natural examples: learning static segmentation from motion segmentation.
Ross MG; Kaelbling LP
IEEE Trans Pattern Anal Mach Intell; 2009 Apr; 31(4):661-76. PubMed ID: 19229082
[TBL] [Abstract][Full Text] [Related]
12. Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation, and recognition using knowledge propagation.
Chen Y; Zhu LL; Yuille A; Zhang H
IEEE Trans Pattern Anal Mach Intell; 2009 Oct; 31(10):1747-61. PubMed ID: 19696447
[TBL] [Abstract][Full Text] [Related]
13. Layered object models for image segmentation.
Yang Y; Hallman S; Ramanan D; Fowlkes CC
IEEE Trans Pattern Anal Mach Intell; 2012 Sep; 34(9):1731-43. PubMed ID: 22813957
[TBL] [Abstract][Full Text] [Related]
14. Image segmentation with a unified graphical model.
Zhang L; Ji Q
IEEE Trans Pattern Anal Mach Intell; 2010 Aug; 32(8):1406-25. PubMed ID: 20558874
[TBL] [Abstract][Full Text] [Related]
15. Learning the compositional nature of visual object categories for recognition.
Ommer B; Buhmann JM
IEEE Trans Pattern Anal Mach Intell; 2010 Mar; 32(3):501-16. PubMed ID: 20075474
[TBL] [Abstract][Full Text] [Related]
16. Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections.
Wählby C; Sintorn IM; Erlandsson F; Borgefors G; Bengtsson E
J Microsc; 2004 Jul; 215(Pt 1):67-76. PubMed ID: 15230877
[TBL] [Abstract][Full Text] [Related]
17. Image segmentation by probabilistic bottom-up aggregation and cue integration.
Alpert S; Galun M; Brandt A; Basri R
IEEE Trans Pattern Anal Mach Intell; 2012 Feb; 34(2):315-26. PubMed ID: 21690639
[TBL] [Abstract][Full Text] [Related]
18. Modeling interaction for segmentation of neighboring structures.
Yan P; Kassim AA; Shen W; Shah M
IEEE Trans Inf Technol Biomed; 2009 Mar; 13(2):252-62. PubMed ID: 19171526
[TBL] [Abstract][Full Text] [Related]
19. Model-driven segmentation of articulating humans in Laplacian Eigenspace.
Sundaresan A; Chellappa R
IEEE Trans Pattern Anal Mach Intell; 2008 Oct; 30(10):1771-85. PubMed ID: 18703830
[TBL] [Abstract][Full Text] [Related]
20. Segmentation and intensity estimation of microarray images using a gamma-t mixture model.
Baek J; Son YS; McLachlan GJ
Bioinformatics; 2007 Feb; 23(4):458-65. PubMed ID: 17166856
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]