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Items: 1 to 20 of 284

1.

Posterior shape models.

Albrecht T, Lüthi M, Gerig T, Vetter T.

Med Image Anal. 2013 Dec;17(8):959-73. doi: 10.1016/j.media.2013.05.010. Epub 2013 Jun 15.

PMID:
23837968
2.

Localization of shapes using statistical models and stochastic optimization.

Destrempes F, Mignotte M, Angers JF.

IEEE Trans Pattern Anal Mach Intell. 2007 Sep;29(9):1603-15.

PMID:
17627047
3.

Efficient kernel density estimation of shape and intensity priors for level set segmentation.

Rousson M, Cremers D.

Med Image Comput Comput Assist Interv. 2005;8(Pt 2):757-64.

PMID:
16686028
4.

Estimating the confidence of statistical model based shape prediction.

Blanc R, Syrkina E, Székely G.

Inf Process Med Imaging. 2009;21:602-13.

PMID:
19694297
5.

Open-curve shape correspondence without endpoint correspondence.

Richardson T, Wang S.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):17-24.

PMID:
17354869
6.

Statistical shape models for 3D medical image segmentation: a review.

Heimann T, Meinzer HP.

Med Image Anal. 2009 Aug;13(4):543-63. doi: 10.1016/j.media.2009.05.004. Epub 2009 May 27. Review.

PMID:
19525140
7.

Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation.

Corso JJ, Sharon E, Yuille A.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):790-8.

PMID:
17354845
8.

Segmentation of neighboring organs in medical image with model competition.

Yan P, Shen W, Kassim AA, Shah M.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):270-7.

PMID:
16685855
9.

A novel approach for curve evolution in segmentation of medical images.

Farzinfar M, Xue Z, Teoh EK.

Comput Med Imaging Graph. 2010 Jul;34(5):354-61. doi: 10.1016/j.compmedimag.2009.12.006. Epub 2010 Jan 18.

PMID:
20083384
10.

Nonrigid structure-from-motion: estimating shape and motion with hierarchical Priors.

Torresani L, Hertzmann A, Bregler C.

IEEE Trans Pattern Anal Mach Intell. 2008 May;30(5):878-92. doi: 10.1109/TPAMI.2007.70752.

PMID:
18369256
11.

Statistical shape modeling using MDL incorporating shape, appearance, and expert knowledge.

Ward AD, Hamarneh G.

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):278-85.

PMID:
18051069
12.

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. doi: 10.1109/TMI.2008.915684.

PMID:
18672421
13.

Mutual information in coupled multi-shape model for medical image segmentation.

Tsai A, Wells W, Tempany C, Grimson E, Willsky A.

Med Image Anal. 2004 Dec;8(4):429-45.

PMID:
15567707
14.

A novel 3D partitioned active shape model for segmentation of brain MR images.

Zhao Z, Aylward SR, Teoh EK.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):221-8.

PMID:
16685849
15.

Focused shape models for hip joint segmentation in 3D magnetic resonance images.

Chandra SS, Xia Y, Engstrom C, Crozier S, Schwarz R, Fripp J.

Med Image Anal. 2014 Apr;18(3):567-78. doi: 10.1016/j.media.2014.02.002. Epub 2014 Feb 18.

PMID:
24614321
16.

Reliability estimation for statistical shape models.

Sukno FM, Frangi AF.

IEEE Trans Image Process. 2008 Dec;17(12):2442-55. doi: 10.1109/TIP.2008.2006604.

PMID:
19004714
17.

Graph cuts framework for kidney segmentation with prior shape constraints.

Ali AM, Farag AA, Ell-Baz AS.

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):384-92.

PMID:
18051082
18.

Comparing the similarity of statistical shape models using the Bhattacharya metric.

Babalola KO, Cootes TF, Patenaude B, Rao A, Jenkinson M.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):142-50.

PMID:
17354884
19.

Coupled shape distribution-based segmentation of multiple objects.

Litvin A, Karl WC.

Inf Process Med Imaging. 2005;19:345-56.

PMID:
17354708
20.

Towards robust and effective shape modeling: sparse shape composition.

Zhang S, Zhan Y, Dewan M, Huang J, Metaxas DN, Zhou XS.

Med Image Anal. 2012 Jan;16(1):265-77. doi: 10.1016/j.media.2011.08.004. Epub 2011 Sep 5.

PMID:
21963296

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