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Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years
13 references·3 citing·38 second hop
Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years (2024)Accelerating computer vision-based human …The Applicable Dental Age Estimation Methods for Children and Adolescents in Indonesia (2022)The Applicable Dental Age Est…Dental age estimation: Demirjian’s versus the other methods in different populations. A literature review (2021)Dental age estimation: Demirj…Age-group determination of living individuals using first molar images based on artificial intelligence (2021)Age-group determination of li…Age Estimation on Panoramic Dental X-ray Images using Deep Learning (2021)Age Estimation on Panoramic D…Deep Neural Networks for Chronological Age Estimation From OPG Images (2020)Deep Neural Networks for Chro…Automatic human identification based on dental X-ray radiographs using computer vision (2020)Automatic human identificatio…Age estimation in adults by dental imaging assessment systematic review (2017)Age estimation in adults by d…Systematic procedure for identifying the five main ossification stages of the medial clavicular epiphysis using computed tomography: a practical proposal for forensic age diagnostics (2016)Systematic procedure for iden…Dental radiographic indicators, a key to age estimation (2011)Dental radiographic indicator…Age estimation in the living. A practitioner’s guide (2011)Age estimation in the living.…Criteria for age estimation in living individuals (2008)Criteria for age estimation i…Aktualisierte Empfehlungen der Arbeitsgemeinschaft für Forensische Altersdiagnostik für Altersschätzungen bei Lebenden im Strafverfahren (2008)Aktualisierte Empfehlungen de…Arbeitsgemeinschaft f�r Forensische Altersdiagnostik der Deutschen Gesellschaft f�r Rechtsmedizin (2004)Arbeitsgemeinschaft f�r Foren…Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults (2025)Deep learning for forensic ag…A review of the literature on the applications of machine learning in forensic anthropology (2025)A review of the literature on…Automatic personal identification using a single CT image (2024)Automatic personal identifica…A new system of dental age assessment. (1973)The A.B.F.O. Study of Third Molar Development and Its Use as an Estimator of Chronological Age (1993)Age estimation of adults from dental radiographs (1995)Age estimation based on pulp chamber volume of first molars from cone-beam computed tomography images (2015)Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images (2016)Automated estimation of chronological age from panoramic dental X-ray images using deep learning (2021)RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)Enhanced possibilities to make statements on the ossification status of the medial clavicular epiphysis using an amplified staging scheme in evaluating thin-slice CT scans (2010)Forensic Age Estimation: Methods, Certainty, and the Law (2016)Age Determinations on Teeth (1950)Variations in Pulp/Tooth Area Ratio as an Indicator of Age: a Preliminary Study (2004)Age estimation using canine pulp volumes in adults: a CBCT image analysis (2019)Dental age estimation using the pulp-to-tooth ratio in canines by neural networks (2019)Forensic aspects of maxillofacial radiology (2006)Fusion of Matching Algorithms for Human Identification Using Dental X-Ray Radiographs (2008)Collection and recording of radiological information for forensic purposes (2012)Human Identification with Panoramic Dental Images using Mask R-CNN and SURF (2020)Dental Radiographic/Digital Radiography Technology along with Biological Agents in Human Identification (2022)Dental Evidence in Forensic Identification – An Overview, Methodology and Present Status (2015)Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review (2022)A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches (2023)Dental Age Estimation in Belgian Children: Demirjian's Technique Revisited (2001)The problem of aging human remains and living individuals: A review (2009)Forensic odontology and dental age estimation research: a scoping review a decade after the NAS report on strengthening forensic science (2022)Dental age estimation: A comparative study of convolutional neural network and Demirjian's method (2024)Brief communication: The London atlas of human tooth development and eruption (2010)Validity of the Demirjian Method for Dental Age Estimation in Romanian Children (2022)Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks (2023)Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review (2024)Age estimation standards for a Western Australian population using the coronal pulp cavity index (2013)Age estimation standards for a Western Australian population using the dental age estimation technique developed by Kvaal et al. (2013)Demirjian’s stages and Cameriere’s third molar maturity index to estimate legal adult age in Peruvian population (2017)Application and performance of artificial intelligence technology in forensic odontology – A systematic review (2020)Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives (2022)Sonographic examination of the apophysis of the iliac crest for forensic age estimation in living persons (2013)Dental age estimation of living persons: Comparison of MRI with OPG (2015)Forensic age diagnostics using projection radiography of the clavicle: a prospective multi-center validation study (2015)
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References

  • 2008Criteria for age estimation in living individuals641 cited
  • 2011Dental radiographic indicators, a key to age estimation269 cited
  • 2020Deep Neural Networks for Chronological Age Estimation From OPG Images159 cited
  • 2017Age estimation in adults by dental imaging assessment systematic review135 cited
  • 2021Age-group determination of living individuals using first molar images based on artificial intelligence99 cited
  • 2011Age estimation in the living. A practitioner’s guide63 cited
  • 2021Dental age estimation: Demirjian’s versus the other methods in different populations. A literature review61 cited
  • 2004Arbeitsgemeinschaft f�r Forensische Altersdiagnostik der Deutschen Gesellschaft f�r Rechtsmedizin57 cited
  • 2022The Applicable Dental Age Estimation Methods for Children and Adolescents in Indonesia42 cited
  • 2020Automatic human identification based on dental X-ray radiographs using computer vision39 cited
  • 2008Aktualisierte Empfehlungen der Arbeitsgemeinschaft für Forensische Altersdiagnostik für Altersschätzungen bei Lebenden im Strafverfahren37 cited
  • 2016Systematic procedure for identifying the five main ossification stages of the medial clavicular epiphysis using computed tomography: a practical proposal for forensic age diagnostics37 cited
  • 2021Age Estimation on Panoramic Dental X-ray Images using Deep Learning28 cited

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  • 2025Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults22 cited
  • 2024Automatic personal identification using a single CT image17 cited
  • 2025A review of the literature on the applications of machine learning in forensic anthropology15 cited