Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 41

1.

Supervised segmentation of phenotype descriptions for the human skeletal phenome using hybrid methods.

Groza T, Hunter J, Zankl A.

BMC Bioinformatics. 2012 Oct 15;13:265. doi: 10.1186/1471-2105-13-265.

2.

Decomposing phenotype descriptions for the human skeletal phenome.

Groza T, Hunter J, Zankl A.

Biomed Inform Insights. 2013;6:1-14. doi: 10.4137/BII.S10729. Epub 2013 Feb 4.

3.

Mining skeletal phenotype descriptions from scientific literature.

Groza T, Hunter J, Zankl A.

PLoS One. 2013;8(2):e55656. doi: 10.1371/journal.pone.0055656. Epub 2013 Feb 8.

4.
5.

A hybrid framework for 3D medical image segmentation.

Chen T, Metaxas D.

Med Image Anal. 2005 Dec;9(6):547-65.

PMID:
15896997
6.

The biological coherence of human phenome databases.

Oti M, Huynen MA, Brunner HG.

Am J Hum Genet. 2009 Dec;85(6):801-8. doi: 10.1016/j.ajhg.2009.10.026.

7.

Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation.

Rohlfing T, Russakoff DB, Maurer CR Jr.

IEEE Trans Med Imaging. 2004 Aug;23(8):983-94.

PMID:
15338732
8.

Combination strategies in multi-atlas image segmentation: application to brain MR data.

Artaechevarria X, Munoz-Barrutia A, Ortiz-de-Solorzano C.

IEEE Trans Med Imaging. 2009 Aug;28(8):1266-77. doi: 10.1109/TMI.2009.2014372. Epub 2009 Feb 18.

PMID:
19228554
9.

Magnetic resonance angiography: from anatomical knowledge modeling to vessel segmentation.

Passat N, Ronse C, Baruthio J, Armspach JP, Maillot C.

Med Image Anal. 2006 Apr;10(2):259-74. Epub 2006 Jan 4.

PMID:
16386938
10.

Ontology-guided data preparation for discovering genotype-phenotype relationships.

Coulet A, Smaïl-Tabbone M, Benlian P, Napoli A, Devignes MD.

BMC Bioinformatics. 2008 Apr 25;9 Suppl 4:S3. doi: 10.1186/1471-2105-9-S4-S3.

11.

Supervised learning-based cell image segmentation for p53 immunohistochemistry.

Mao KZ, Zhao P, Tan PH.

IEEE Trans Biomed Eng. 2006 Jun;53(6):1153-63.

PMID:
16761842
12.

Boosting performance of gene mention tagging system by hybrid methods.

Li L, Fan W, Huang D, Dang Y, Sun J.

J Biomed Inform. 2012 Feb;45(1):156-64. doi: 10.1016/j.jbi.2011.10.004. Epub 2011 Oct 28.

13.
14.

Toward objective evaluation of image segmentation algorithms.

Unnikrishnan R, Pantofaru C, Hebert M.

IEEE Trans Pattern Anal Mach Intell. 2007 Jun;29(6):929-44.

PMID:
17431294
15.

Confidence-guided sequential label fusion for multi-atlas based segmentation.

Zhang D, Wu G, Jia H, Shen D.

Med Image Comput Comput Assist Interv. 2011;14(Pt 3):643-50.

PMID:
22003754
16.

Quantitative comparison of mapping methods between Human and Mammalian Phenotype Ontology.

Oellrich A, Gkoutos GV, Hoehndorf R, Rebholz-Schuhmann D.

J Biomed Semantics. 2012 Sep 21;3 Suppl 2:S1. doi: 10.1186/2041-1480-3-S2-S1. Epub 2012 Sep 21.

17.

Exact score distribution computation for ontological similarity searches.

Schulz MH, Köhler S, Bauer S, Robinson PN.

BMC Bioinformatics. 2011 Nov 12;12:441. doi: 10.1186/1471-2105-12-441.

18.

Cardiac segmentation by a velocity-aided active contour model.

Cho J, Benkeser PJ.

Comput Med Imaging Graph. 2006 Jan;30(1):31-41. Epub 2005 Dec 27.

PMID:
16378714
19.

Hybrid computational phantoms of the male and female newborn patient: NURBS-based whole-body models.

Lee C, Lodwick D, Hasenauer D, Williams JL, Lee C, Bolch WE.

Phys Med Biol. 2007 Jun 21;52(12):3309-33. Epub 2007 May 16.

PMID:
17664546
20.

Novel multistage three-dimensional medical image segmentation: methodology and validation.

Gu L, Xu J, Peters TM.

IEEE Trans Inf Technol Biomed. 2006 Oct;10(4):740-8.

PMID:
17044408

Supplemental Content

Support Center