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Journal Abstract Search

171 related items for PubMed ID: 20108870

  • 1. Developing an automatic lateral cephalometric landmark identification program and evaluating its performance.
    Rakhshan V, Rakhshan H, Sheibaninia A.
    Int J Comput Dent; 2009; 12(4):327-43. PubMed ID: 20108870
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  • 2. Validity and reliability of a new edge-based computerized method for identification of cephalometric landmarks.
    Kazandjian S, Kiliaridis S, Mavropoulos A.
    Angle Orthod; 2006 Jul; 76(4):619-24. PubMed ID: 16808568
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  • 4. Intraexaminer and interexaminer reliabilities of landmark identification on digitized lateral cephalograms and formatted 3-dimensional cone-beam computerized tomography images.
    Lagravère MO, Low C, Flores-Mir C, Chung R, Carey JP, Heo G, Major PW.
    Am J Orthod Dentofacial Orthop; 2010 May; 137(5):598-604. PubMed ID: 20451778
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  • 8. Effects of image enhancement on reliability of landmark identification in digital cephalometry.
    Oshagh M, Shahidi SH, Danaei SH.
    Indian J Dent Res; 2013 May; 24(1):98-103. PubMed ID: 23852241
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  • 9. An evaluation of cellular neural networks for the automatic identification of cephalometric landmarks on digital images.
    Leonardi R, Giordano D, Maiorana F.
    J Biomed Biotechnol; 2009 May; 2009():717102. PubMed ID: 19753320
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  • 10. Accuracy of cephalometric landmarks on monitor-displayed radiographs with and without image emboss enhancement.
    Leonardi RM, Giordano D, Maiorana F, Greco M.
    Eur J Orthod; 2010 Jun; 32(3):242-7. PubMed ID: 20022892
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  • 11. Automatic recognition of anatomic features on cephalograms of preadolescent children.
    Tanikawa C, Yamamoto T, Yagi M, Takada K.
    Angle Orthod; 2010 Sep; 80(5):812-20. PubMed ID: 20578850
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  • 12. Development of a non-radiographic cephalometric system.
    Nagasaka S, Fujimura T, Segoshi K.
    Eur J Orthod; 2003 Feb; 25(1):77-85. PubMed ID: 12608727
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  • 13. "Black Bone" MRI: a potential non-ionizing method for three-dimensional cephalometric analysis--a preliminary feasibility study.
    Eley KA, Watt-Smith SR, Golding SJ.
    Dentomaxillofac Radiol; 2013 Feb; 42(10):20130236. PubMed ID: 24052254
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  • 14. Automated cephalometry: system performance reliability using landmark-dependent criteria.
    Tanikawa C, Yagi M, Takada K.
    Angle Orthod; 2009 Nov; 79(6):1037-46. PubMed ID: 19852592
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  • 15. Investigation of filter sets for supervised pixel classification of cephalometric landmarks by spatial spectroscopy.
    Rudolph DJ, Coggins JM, Moon H.
    Int J Med Inform; 1997 Dec; 47(3):183-91. PubMed ID: 9513007
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  • 17. Improved lateral cephalometric superimposition using an automated image fitting technique.
    Larson BE, Sievers MM, Ko CC.
    Angle Orthod; 2010 May; 80(3):474-9. PubMed ID: 20050739
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  • 19. Automatic cephalometric analysis.
    Leonardi R, Giordano D, Maiorana F, Spampinato C.
    Angle Orthod; 2008 Jan; 78(1):145-51. PubMed ID: 18193970
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  • 20. Accuracy of landmark identification on postero-anterior cephalograms.
    Sicurezza E, Greco M, Giordano D, Maiorana F, Leonardi R.
    Prog Orthod; 2012 Sep; 13(2):132-40. PubMed ID: 23021116
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