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Journal Abstract Search

1539 related items for PubMed ID: 22320795

  • 1. 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. PubMed ID: 22320795
    [Abstract] [Full Text] [Related]

  • 2. Three-dimensional ultrasound of carotid atherosclerosis: semiautomated segmentation using a level set-based method.
    Ukwatta E, Awad J, Ward AD, Buchanan D, Samarabandu J, Parraga G, Fenster A.
    Med Phys; 2011 May; 38(5):2479-93. PubMed ID: 21776783
    [Abstract] [Full Text] [Related]

  • 3. Geometrical model-based segmentation of the organs of sight on CT images.
    Bekes G, Máté E, Nyúl LG, Kuba A, Fidrich M.
    Med Phys; 2008 Feb; 35(2):735-43. PubMed ID: 18383695
    [Abstract] [Full Text] [Related]

  • 4. Doubling time calculations for lung cancer by three-dimensional computer-aided volumetry: effects of inter-observer differences and nodule characteristics.
    Koike W, Iwano S, Matsuo K, Kitano M, Kawakami K, Naganawa S.
    J Med Imaging Radiat Oncol; 2014 Feb; 58(1):82-8. PubMed ID: 24304703
    [Abstract] [Full Text] [Related]

  • 5. 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. PubMed ID: 18212214
    [Abstract] [Full Text] [Related]

  • 6. A 4D statistical shape model for automated segmentation of lungs with large tumors.
    Wilms M, Ehrhardt J, Handels H.
    Med Image Comput Comput Assist Interv; 2012 Feb; 15(Pt 2):347-54. PubMed ID: 23286067
    [Abstract] [Full Text] [Related]

  • 7. Quantifying the tibiofemoral joint space using x-ray tomosynthesis.
    Kalinosky B, Sabol JM, Piacsek K, Heckel B, Gilat Schmidt T.
    Med Phys; 2011 Dec; 38(12):6672-82. PubMed ID: 22149849
    [Abstract] [Full Text] [Related]

  • 8. Automatic segmentation of juxta-pleural tumors from CT images based on morphological feature analysis.
    Yong JR, Qi S, van Triest HJ, Kang Y, Qian W.
    Biomed Mater Eng; 2014 Dec; 24(6):3137-44. PubMed ID: 25227023
    [Abstract] [Full Text] [Related]

  • 9. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
    Chen T, Kim S, Goyal S, Jabbour S, Zhou J, Rajagopal G, Haffty B, Yue N.
    Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
    [Abstract] [Full Text] [Related]

  • 10. On simulating subjective evaluation using combined objective metrics for validation of 3D tumor segmentation.
    Deng X, Zhu L, Sun Y, Xu C, Song L, Chen J, Merges RD, Jolly MP, Suehling M, Xu X.
    Med Image Comput Comput Assist Interv; 2007 Jan; 10(Pt 1):977-84. PubMed ID: 18051153
    [Abstract] [Full Text] [Related]

  • 11. Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation.
    Linguraru MG, Sandberg JK, Li Z, Shah F, Summers RM.
    Med Phys; 2010 Feb; 37(2):771-83. PubMed ID: 20229887
    [Abstract] [Full Text] [Related]

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  • 13. Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field.
    Tan Y, Schwartz LH, Zhao B.
    Med Phys; 2013 Apr; 40(4):043502. PubMed ID: 23556926
    [Abstract] [Full Text] [Related]

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  • 15. Pulmonary nodules: Preliminary experience with semiautomated volumetric evaluation by CT stratum.
    Sone S, Tsushima K, Yoshida K, Hamanaka K, Hanaoka T, Kondo R.
    Acad Radiol; 2010 Jul; 17(7):900-11. PubMed ID: 20447841
    [Abstract] [Full Text] [Related]

  • 16. Semi-automatic volumetric measurement of lung cancer using multi-detector CT effects of nodule characteristics.
    Iwano S, Okada T, Koike W, Matsuo K, Toya R, Yamazaki M, Ito S, Ito J, Naganwa S.
    Acad Radiol; 2009 Oct; 16(10):1179-86. PubMed ID: 19524456
    [Abstract] [Full Text] [Related]

  • 17. Analysis of the thoracic aorta using a semi-automated post processing tool.
    Entezari P, Kino A, Honarmand AR, Galizia MS, Yang Y, Collins J, Yaghmai V, Carr JC.
    Eur J Radiol; 2013 Sep; 82(9):1558-64. PubMed ID: 23680155
    [Abstract] [Full Text] [Related]

  • 18. A novel lung nodules detection scheme based on vessel segmentation on CT images.
    Jia T, Zhang H, Meng H.
    Biomed Mater Eng; 2014 Sep; 24(6):3179-86. PubMed ID: 25227026
    [Abstract] [Full Text] [Related]

  • 19. Atlas-driven lung lobe segmentation in volumetric X-ray CT images.
    Zhang L, Hoffman EA, Reinhardt JM.
    IEEE Trans Med Imaging; 2006 Jan; 25(1):1-16. PubMed ID: 16398410
    [Abstract] [Full Text] [Related]

  • 20. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.
    Petrou M, Quint LE, Nan B, Baker LH.
    AJR Am J Roentgenol; 2007 Feb; 188(2):306-12. PubMed ID: 17242235
    [Abstract] [Full Text] [Related]

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