Research graph
References from AI-driven 3D wisdom tooth models for age estimation: Novel pictorial tables for caucasians aged 16–22 years. Local targets link to admitted publications; unresolved targets remain external evidence.
Dental age assessment using Demirjian's method – a radiographic study
2014 · External reference
Dental and skeletal maturity indicators of chronological age: radiographic evaluation amongst children in Gujarat, India
10.9790/0853-0640612 · 2013 · External reference
Age estimation
10.3109/03014460.2015.1089627 · 2015 · External reference
Age estimation of unaccompanied minors. Part I: general considerations
10.1016/j.forsciint.2006.02.017 · 2006 · External reference
Forensic age diagnostics of living individuals in criminal proceedings
10.1078/0018-442x-00066 · 2003 · External reference
Human dental age estimation combining third molar development and tooth morphological age predictors
10.1007/s00414-012-0755-x · 2012 · External reference
Radiographic assessment of third molar development and its relation to dental and chronological age in an Iranian population
2015 · External reference
A new system of dental age assessment
1973 · External reference
Development of wisdom teeth as a criterion of age determination
10.1016/s0940-9602(11)80513-3 · 1994 · External reference
Validation of common classification systems for assessing the mineralization of third molars
10.1007/s00414-004-0489-5 · 2005 · External reference
Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults
10.1007/s00414-018-1910-9 · 2018 · External reference
Radiographic assessment of third molar development in a Russian population to determine the age of majority
10.1016/j.archoralbio.2021.105102 · 2021 · External reference
Comparing third molar root development staging in panoramic radiography, extracted teeth, and cone-beam computed tomography
10.1007/s00414-019-02206-x · 2020 · External reference
Third molar development according to chronological age in populations from Spanish and Magrebian origin
10.1016/j.forsciint.2007.03.009 · 2008 · External reference
Three-dimensional analysis of third molar development to estimate age of majority
10.1016/j.scijus.2017.04.002 · 2017 · External reference
Forensic age estimation based on magnetic resonance imaging of third molars: converting 2D staging into 3D staging
10.1080/03014460.2016.1223884 · 2017 · External reference
Artificial intelligence for fast and accurate three-dimensional tooth segmentation on cone-beam computed tomography
10.1016/j.joen.2020.12.020 · 2021 · External reference
Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – a validation study
10.1016/j.jdent.2022.104069 · 2022 · External reference
Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images
10.1111/clr.14063 · 2023 · External reference
Development and validation of a novel artificial intelligence-driven tool for accurate mandibular canal segmentation on CBCT
10.1016/j.jdent.2021.103891 · 2022 · External reference
Demirjian approach of dental age estimation: abridged for operator ease
2016 · External reference
The permanent mandibular first molar: its calcification, eruption and decay
10.1002/ajpa.1330130206 · 1955 · External reference
A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches
10.1007/s00414-023-02960-z · 2023 · External reference
Inter-examiner variation in rating dental formation from radiographs
10.1177/00220345800590070401 · 1980 · External reference
European academy of DentoMaxilloFacial radiology, basic training requirements for the use of dental CBCT by dentists: a position paper prepared by the European academy of DentoMaxilloFacial radiology
10.1259/dmfr.20130291 · 2014 · External reference
Tips for viewing and interpreting cone-beam computed tomography radiographs in orthodontics
10.12968/ortu.2024.17.1.33 · 2024 · External reference
Quantifying the variability between multiplanar reconstructions of computed tomography scans
10.1186/s42490-021-00047-7 · 2021 · External reference
Evaluating tooth segmentation accuracy and time efficiency in CBCT images using artificial intelligence: a systematic review and meta-analysis
10.1016/j.jdent.2024.105064 · 2024 · External reference
Automatic segmentation of the pharyngeal airway space with convolutional neural network
10.1016/j.jdent.2021.103705 · 2021 · External reference
Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images
10.1038/s41598-022-11483-3 · 2022 · External reference
Age estimation in children by measurement of open apices in teeth
10.1007/s00414-005-0047-9 · 2006 · External reference
Three-dimensional image analysis of developing mandibular third molar apices for age estimation using CBCT data enhanced with mimics and 3-Matics software
10.1016/j.legalmed.2019.05.003 · 2019 · External reference
Dental age estimation utilizing third molar development: principles, methods and population studies in the United States
10.1016/j.forsciint.2010.04.042 · 2010 · External reference
Radiographic survey of third molar development in relation to chronological age among Japanese juveniles
10.1520/jfs2003372 · 2004 · External reference
Age estimation using third molar teeth: a study on a southern Saudi population
10.4103/0975-1475.109886 · 2012 · External reference
Third molar root development in relation to chronological age: a large sample-sized retrospective study
10.1016/s0379-0738(03)00263-9 · 2003 · External reference
Impact of thyroid gland shielding on radiation doses in dental cone-beam computed tomography with small and medium fields of view
10.1016/j.oooo.2022.03.002 · 2022 · External reference
Novel low-dose protocols using cone-beam computed tomography in dental medicine: a review focusing on indications, limitations, and future possibilities
10.1007/s00784-019-02907-y · 2019 · External reference
