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140 related items for PubMed ID: 39105781

  • 1. Artificial intelligence and dental age estimation: development and validation of an automated stage allocation technique on all mandibular tooth types in panoramic radiographs.
    Matthijs L, Delande L, De Tobel J, Büyükçakir B, Claes P, Vandermeulen D, Thevissen P.
    Int J Legal Med; 2024 Nov; 138(6):2469-2479. PubMed ID: 39105781
    [Abstract] [Full Text] [Related]

  • 2. Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network.
    Merdietio Boedi R, Banar N, De Tobel J, Bertels J, Vandermeulen D, Thevissen PW.
    J Forensic Sci; 2020 Mar; 65(2):481-486. PubMed ID: 31487052
    [Abstract] [Full Text] [Related]

  • 3. An automated technique to stage lower third molar development on panoramic radiographs for age estimation: a pilot study.
    De Tobel J, Radesh P, Vandermeulen D, Thevissen PW.
    J Forensic Odontostomatol; 2017 Dec 01; 35(2):42-54. PubMed ID: 29384736
    [Abstract] [Full Text] [Related]

  • 4. Accuracy of automated forensic dental age estimation lab (F-DentEst Lab) on large Malaysian dataset.
    Mohammad N, Ahmad R, Gaus MHA, Kurniawan A, Yusof MYPM.
    Forensic Sci Int; 2024 Aug 01; 361():112150. PubMed ID: 39047517
    [Abstract] [Full Text] [Related]

  • 5. Towards fully automated third molar development staging in panoramic radiographs.
    Banar N, Bertels J, Laurent F, Boedi RM, De Tobel J, Thevissen P, Vandermeulen D.
    Int J Legal Med; 2020 Sep 01; 134(5):1831-1841. PubMed ID: 32239317
    [Abstract] [Full Text] [Related]

  • 6. Accuracy of age estimation of radiographic methods using developing teeth.
    Maber M, Liversidge HM, Hector MP.
    Forensic Sci Int; 2006 May 15; 159 Suppl 1():S68-73. PubMed ID: 16533584
    [Abstract] [Full Text] [Related]

  • 7. [Accuracy of age estimation from orthopantomograph using Demirjian's method].
    Tao J, Wang Y, Liu RJ, Xu X, Li XP.
    Fa Yi Xue Za Zhi; 2007 Aug 15; 23(4):258-60. PubMed ID: 17896514
    [Abstract] [Full Text] [Related]

  • 8. Reproducibility of radiographic stage assessment of third molars.
    Dhanjal KS, Bhardwaj MK, Liversidge HM.
    Forensic Sci Int; 2006 May 15; 159 Suppl 1():S74-7. PubMed ID: 16530998
    [Abstract] [Full Text] [Related]

  • 9. Permanent tooth formation as a method of estimating age.
    Liversidge HM.
    Front Oral Biol; 2009 May 15; 13():153-157. PubMed ID: 19828988
    [Abstract] [Full Text] [Related]

  • 10. Tooth coronal index and pulp/tooth ratio in dental age estimation on digital panoramic radiographs-A comparative study.
    Jain S, Nagi R, Daga M, Shandilya A, Shukla A, Parakh A, Laheji A, Singh R.
    Forensic Sci Int; 2017 Aug 15; 277():115-121. PubMed ID: 28645095
    [Abstract] [Full Text] [Related]

  • 11. New model for dental age estimation: Willems method applied on fewer than seven mandibular teeth.
    Bedek I, Dumančić J, Lauc T, Marušić M, Čuković-Bagić I.
    Int J Legal Med; 2020 Mar 15; 134(2):735-743. PubMed ID: 31041502
    [Abstract] [Full Text] [Related]

  • 12. Applicability of Willems model for dental age estimations in Brazilian children.
    Franco A, Thevissen P, Fieuws S, Souza PH, Willems G.
    Forensic Sci Int; 2013 Sep 10; 231(1-3):401.e1-4. PubMed ID: 23806342
    [Abstract] [Full Text] [Related]

  • 13. Correlating skeletal and dental developmental stages using radiographic parameters.
    Cericato GO, Franco A, Bittencourt MA, Nunes MA, Paranhos LR.
    J Forensic Leg Med; 2016 Aug 10; 42():13-8. PubMed ID: 27219112
    [Abstract] [Full Text] [Related]

  • 14. Reliability and limitations of permanent tooth staging techniques.
    Abdul Rahim AH, Davies JA, Liversidge HM.
    Forensic Sci Int; 2023 May 10; 346():111654. PubMed ID: 37011430
    [Abstract] [Full Text] [Related]

  • 15. [The impact of wisdom teeth topography on chronology of root formation--forensic consequence for forensic-odontologic age estimation of adolescents and young adults. Radiographic investigations using orthopantomography].
    Friedrich RE, Ulbricht C, von Maydell LA, Scheuer HA.
    Arch Kriminol; 2005 May 10; 216(1-2):15-35. PubMed ID: 16134398
    [Abstract] [Full Text] [Related]

  • 16. Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.
    Kurt A, Günaçar DN, Şılbır FY, Yeşil Z, Bayrakdar İŞ, Çelik Ö, Bilgir E, Orhan K.
    BMC Oral Health; 2024 Sep 03; 24(1):1034. PubMed ID: 39227802
    [Abstract] [Full Text] [Related]

  • 17. Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.
    Galibourg A, Cussat-Blanc S, Dumoncel J, Telmon N, Monsarrat P, Maret D.
    Int J Legal Med; 2021 Mar 03; 135(2):665-675. PubMed ID: 33410925
    [Abstract] [Full Text] [Related]

  • 18. Dental age assessment using Demirjian's method on northern Turkish children.
    Tunc ES, Koyuturk AE.
    Forensic Sci Int; 2008 Feb 25; 175(1):23-6. PubMed ID: 17560060
    [Abstract] [Full Text] [Related]

  • 19. Root Pulp Visibility as a mandibular maturity marker at the 18-year threshold in the Maltese population.
    Al Qattan F, Alzoubi EE, Lucas V, Roberts G, McDonald F, Camilleri S.
    Int J Legal Med; 2020 Jan 25; 134(1):363-368. PubMed ID: 31492980
    [Abstract] [Full Text] [Related]

  • 20. New models for age estimation and assessment of their accuracy using developing mandibular third molar teeth in a Thai population.
    Duangto P, Iamaroon A, Prasitwattanaseree S, Mahakkanukrauh P, Janhom A.
    Int J Legal Med; 2017 Mar 25; 131(2):559-568. PubMed ID: 27757575
    [Abstract] [Full Text] [Related]

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