BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 37018830)

  • 21. An evaluation of the errors in cephalometric measurements on scanned cephalometric images and conventional tracings.
    Sayinsu K; Isik F; Trakyali G; Arun T
    Eur J Orthod; 2007 Feb; 29(1):105-8. PubMed ID: 17290023
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?
    Ye H; Cheng Z; Ungvijanpunya N; Chen W; Cao L; Gou Y
    BMC Oral Health; 2023 Jul; 23(1):467. PubMed ID: 37422630
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparison of linear and angular measurements using two-dimensional conventional methods and three-dimensional cone beam CT images reconstructed from a volumetric rendering program in vivo.
    Oz U; Orhan K; Abe N
    Dentomaxillofac Radiol; 2011 Dec; 40(8):492-500. PubMed ID: 22065798
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Digital and manual cephalometric analysis.
    Thurzo A; Javorka V; Stanko P; Lysy J; Suchancova B; Lehotska V; Valkovic L; Makovnik M
    Bratisl Lek Listy; 2010; 111(2):97-100. PubMed ID: 20429323
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Human examination and artificial intelligence in cephalometric landmark detection-is AI ready to take over?
    Indermun S; Shaik S; Nyirenda C; Johannes K; Mulder R
    Dentomaxillofac Radiol; 2023 Sep; 52(6):20220362. PubMed ID: 37427581
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.
    de Queiroz Tavares Borges Mesquita G; Vieira WA; Vidigal MTC; Travençolo BAN; Beaini TL; Spin-Neto R; Paranhos LR; de Brito Júnior RB
    J Digit Imaging; 2023 Jun; 36(3):1158-1179. PubMed ID: 36604364
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Assessment of landmark detection in cephalometric radiographs with different conditions of brightness and contrast using the an artificial intelligence software.
    Menezes LDS; Silva TP; Lima Dos Santos MA; Hughes MM; Mariano Souza SDR; Leite Ribeiro PM; Freitas PHL; Takeshita WM
    Dentomaxillofac Radiol; 2023 Nov; 52(8):20230065. PubMed ID: 37869886
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of cephalometric measurements with digital versus conventional cephalometric analysis.
    Celik E; Polat-Ozsoy O; Toygar Memikoglu TU
    Eur J Orthod; 2009 Jun; 31(3):241-6. PubMed ID: 19237509
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Accuracy of linear measurements from imaging plate and lateral cephalometric images derived from cone-beam computed tomography.
    Moshiri M; Scarfe WC; Hilgers ML; Scheetz JP; Silveira AM; Farman AG
    Am J Orthod Dentofacial Orthop; 2007 Oct; 132(4):550-60. PubMed ID: 17920510
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.
    Lindner C; Wang CW; Huang CT; Li CH; Chang SW; Cootes TF
    Sci Rep; 2016 Sep; 6():33581. PubMed ID: 27645567
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A comparison of hand-tracing and cephalometric analysis computer programs with and without advanced features--accuracy and time demands.
    Tsorovas G; Karsten AL
    Eur J Orthod; 2010 Dec; 32(6):721-8. PubMed ID: 20554891
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Comparison of landmark identification and linear and angular measurements in conventional and digital cephalometry.
    Akhare PJ; Dagab AM; Alle RS; Shenoyd U; Garla V
    Int J Comput Dent; 2013; 16(3):241-54. PubMed ID: 24364195
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The reliability and reproducibility of cephalometric measurements: a comparison of conventional and digital methods.
    Albarakati SF; Kula KS; Ghoneima AA
    Dentomaxillofac Radiol; 2012 Jan; 41(1):11-7. PubMed ID: 22184624
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Differences in cephalometric measurements: a comparison of digital versus hand-tracing methods.
    Polat-Ozsoy O; Gokcelik A; Toygar Memikoglu TU
    Eur J Orthod; 2009 Jun; 31(3):254-9. PubMed ID: 19349417
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Assessment of 3-dimensional computer-generated cephalometric measurements.
    Kusnoto B; Evans CA; BeGole EA; de Rijk W
    Am J Orthod Dentofacial Orthop; 1999 Oct; 116(4):390-9. PubMed ID: 10511666
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of AudaxCeph®'s fully automated cephalometric tracing technology to a semi-automated approach by human examiners.
    Ristau B; Coreil M; Chapple A; Armbruster P; Ballard R
    Int Orthod; 2022 Dec; 20(4):100691. PubMed ID: 36114136
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automatic 3-Dimensional Cephalometric Landmarking via Deep Learning.
    Dot G; Schouman T; Chang S; Rafflenbeul F; Kerbrat A; Rouch P; Gajny L
    J Dent Res; 2022 Oct; 101(11):1380-1387. PubMed ID: 35982646
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Comparison between a human judge and automatic landmark identification on digital models.
    Dolatabadi N; Boyd RL; Oh H
    Am J Orthod Dentofacial Orthop; 2022 Aug; 162(2):257-263. PubMed ID: 35933158
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Precision of cephalometric analysis via fully and semiautomatic evaluation of digital lateral cephalographs.
    Sommer T; Ciesielski R; Erbersdobler J; Orthuber W; Fischer-Brandies H
    Dentomaxillofac Radiol; 2009 Sep; 38(6):401-6. PubMed ID: 19700534
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The reliability and reproducibility of an Android cephalometric smartphone application in comparison with the conventional method.
    Zamrik OM; İşeri H
    Angle Orthod; 2021 Mar; 91(2):236-242. PubMed ID: 33367490
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.