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Items: 1 to 20 of 129

1.

Rapid assessment of liver volumetry by a novel automated segmentation algorithm.

Zahel T, Wildgruber M, Ardon R, Schuster T, Rummeny EJ, Dobritz M.

J Comput Assist Tomogr. 2013 Jul-Aug;37(4):577-82. doi: 10.1097/RCT.0b013e31828f0baa.

PMID:
23863535
2.

Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.

Awad J, Owrangi A, Villemaire L, O'Riordan E, Parraga G, Fenster A.

Med Phys. 2012 Feb;39(2):851-65. doi: 10.1118/1.3676687.

PMID:
22320795
3.

Size determination and response assessment of liver metastases with computed tomography--comparison of RECIST and volumetric algorithms.

Rothe JH, Grieser C, Lehmkuhl L, Schnapauff D, Fernandez CP, Maurer MH, Mussler A, Hamm B, Denecke T, Steffen IG.

Eur J Radiol. 2013 Nov;82(11):1831-9. doi: 10.1016/j.ejrad.2012.05.018. Epub 2012 Jun 19.

PMID:
22717124
4.

Validating New Software for Semiautomated Liver Volumetry--Better than Manual Measurement?

Noschinski LE, Maiwald B, Voigt P, Wiltberger G, Kahn T, Stumpp P.

Rofo. 2015 Sep;187(9):788-94. doi: 10.1055/s-0035-1553230. Epub 2015 Jun 17.

5.

Semiautomatic segmentation of liver metastases on volumetric CT images.

Yan J, Schwartz LH, Zhao B.

Med Phys. 2015 Nov;42(11):6283-93. doi: 10.1118/1.4932365.

6.

Automated threshold-based 3D segmentation versus short-axis planimetry for assessment of global left ventricular function with dual-source MDCT.

Juergens KU, Seifarth H, Range F, Wienbeck S, Wenker M, Heindel W, Fischbach R.

AJR Am J Roentgenol. 2008 Feb;190(2):308-14. doi: 10.2214/AJR.07.2283.

PMID:
18212214
7.

Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification.

Smeets D, Loeckx D, Stijnen B, De Dobbelaer B, Vandermeulen D, Suetens P.

Med Image Anal. 2010 Feb;14(1):13-20. doi: 10.1016/j.media.2009.09.002. Epub 2009 Sep 19.

PMID:
19828356
8.

Dose reduction for semi-automated volumetry of hepatic metastasis in MDCT studies.

Keil S, Plumhans C, Nagy IA, Schiffl K, Soza G, Behrendt FF, Mahnken AH, Günther RW, Das M.

Invest Radiol. 2010 Feb;45(2):77-81. doi: 10.1097/RLI.0b013e3181cd194e.

PMID:
20027116
9.

Semiautomated segmentation of pleural effusions in MDCT datasets.

von Falck C, Meier S, Jördens S, King B, Galanski M, Shin HO.

Acad Radiol. 2010 Jul;17(7):841-8. doi: 10.1016/j.acra.2010.02.011. Epub 2010 Apr 18.

PMID:
20399688
10.

Quantitative right and left ventricular functional analysis during gated whole-chest MDCT: a feasibility study comparing automatic segmentation to semi-manual contouring.

Coche E, Walker MJ, Zech F, de Crombrugghe R, Vlassenbroek A.

Eur J Radiol. 2010 Jun;74(3):e138-43. doi: 10.1016/j.ejrad.2009.05.037. Epub 2009 Jun 21.

PMID:
19540692
11.

Validation of a semiautomated liver segmentation method using CT for accurate volumetry.

Gotra A, Chartrand G, Massicotte-Tisluck K, Morin-Roy F, Vandenbroucke-Menu F, de Guise JA, Tang A.

Acad Radiol. 2015 Sep;22(9):1088-98. doi: 10.1016/j.acra.2015.03.010. Epub 2015 Apr 20.

PMID:
25907454
12.

Interactive liver tumor segmentation from ct scans using support vector classification with watershed.

Zhang X, Tian J, Xiang D, Li X, Deng K.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6005-8. doi: 10.1109/IEMBS.2011.6091484.

PMID:
22255708
13.

Liver segmentation using automatically defined patient specific B-spline surface models.

Song Y, Bulpitt AJ, Brodlie KW.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):43-50.

PMID:
20426094
14.

Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.

Liu J, Wang S, Linguraru MG, Yao J, Summers RM.

Med Image Anal. 2014 Jul;18(5):725-39. doi: 10.1016/j.media.2014.04.001. Epub 2014 Apr 18.

15.
16.

Automated lobar quantification of emphysema in patients with severe COPD.

Revel MP, Faivre JB, Remy-Jardin M, Deken V, Duhamel A, Marquette CH, Tacelli N, Bakai AM, Remy J.

Eur Radiol. 2008 Dec;18(12):2723-30. doi: 10.1007/s00330-008-1065-z. Epub 2008 Jul 5.

PMID:
18604539
17.

Lung segmentation from CT with severe pathologies using anatomical constraints.

Birkbeck N, Kohlberger T, Zhang J, Sofka M, Kaftan J, Comaniciu D, Zhou SK.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):804-11.

PMID:
25333193
18.

Comparison of manual, semi- and fully automated heart segmentation for assessing global left ventricular function in multidetector computed tomography.

Plumhans C, Keil S, Ocklenburg C, Mühlenbruch G, Behrendt FF, Günther RW, Mahnken AH.

Invest Radiol. 2009 Aug;44(8):476-82. doi: 10.1097/RLI.0b013e3181aaf4e1.

PMID:
19561515
19.

MDCT for computerized volumetry of pneumothoraces in pediatric patients.

Cai W, Lee EY, Vij A, Mahmood SA, Yoshida H.

Acad Radiol. 2011 Mar;18(3):315-23. doi: 10.1016/j.acra.2010.11.008. Epub 2011 Jan 7.

20.

Medical image analysis of 3D CT images based on extension of Haralick texture features.

Tesar L, Shimizu A, Smutek D, Kobatake H, Nawano S.

Comput Med Imaging Graph. 2008 Sep;32(6):513-20. doi: 10.1016/j.compmedimag.2008.05.005. Epub 2008 Jul 9.

PMID:
18614335

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