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The Use of Bone Age in Clinical Practice – Part 2
1 references·13 citing·41 second hop
The Use of Bone Age in Clinical Practice – Part 2 (2011)The Use of Bone Age in Clinical Practice …Bone age in children of diverse ethnicity. (1996)Bone age in children of diver…Evaluation of height prediction models: from traditional methods to artificial intelligence (2023)Evaluation of height predicti…Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias (2023)Deeplasia: deep learning for …Accuracy and self-validation of automated bone age determination (2022)Accuracy and self-validation …Concordances and correlations between chronological, dental and bone ages: A retrospective study in French individuals (2021)Concordances and correlations…The Greulich-Pyle and Gilsanz-Ratib atlas method versus automated estimation tool for bone age: a multi-observer agreement study (2020)The Greulich-Pyle and Gilsanz…Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs (2020)Rethinking Greulich and Pyle:…Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle (2020)Modernization of bone age ass…Reducing acquisition time for MRI-based forensic age estimation (2018)Reducing acquisition time for…Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data (2018)Automatic Age Estimation and …Tanner–Whitehouse Skeletal Ages in Male Youth Soccer Players: TW2 or TW3? (2017)Tanner–Whitehouse Skeletal Ag…What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents (2015)What automated age estimation…Automated Classification of Epiphyses in the Distal Radius and Ulna using a Support Vector Machine (2015)Automated Classification of E…Bone age assessment: automated techniques coming of age? (2013)Bone age assessment: automate…RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)Age estimation: The state of the art in relation to the specific demands of forensic practise (2000)Age estimation (2015)Automated determination of bone age from hand X-rays at the end of puberty and its applicability for age estimation (2016)Magnetic resonance imaging of third molars: developing a protocol suitable for forensic age estimation (2016)Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods (1999)Bone age assessment of children using a digital hand atlas (2007)The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)Forensic use of the Greulich and Pyle atlas: prediction intervals and relevance (2016)Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system (2020)Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment (2021)Understanding interobserver agreement: the kappa statistic. (2005)Relative age effect: Characteristics of youth soccer players by birth quarter and subsequent playing status (2018)Bio-banding in academy football: player’s perceptions of a maturity matched tournament (2019)Relative age and maturation selection biases in academy football (2019)A history of the study of human growth (1981)Skeletal age estimation in adults (2019)The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation (2019)Forensic age assessment of the knee: proposal of a new classification system using two-dimensional ultrasound volumes and comparison to MRI (2020)A new system of dental age assessment. (1973)Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)Multi-factorial age estimation: A Bayesian approach combining dental and skeletal magnetic resonance imaging (2019)Automated age estimation of young individuals based on 3D knee MRI using deep learning (2020)Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks (2021)Fully Automated Deep Learning System for Bone Age Assessment (2017)Age Estimation from Left-Hand Radiographs with Deep Learning Methods (2021)Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method (2022)High performance for bone age estimation with an artificial intelligence solution (2023)The problem of aging human remains and living individuals: A review (2009)Bridging gaps in age estimation: a cross-sectional comparative study of skeletal maturation using Fishman method and dental development using Nolla method among Egyptians (2025)Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age (2008)Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency (2017)A comprehensive validation study of the latest version of BoneXpert on a large cohort of Caucasian children and adolescents (2023)Precision and Accuracy of Radiological Bone Age Assessment in Children among Different Ethnic Groups: A Systematic Review (2023)Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Bone Age Assessment Using Various Medical Imaging Techniques Enhanced by Artificial Intelligence (2025)Determination of Skeletal Age From Hand Radiographs Using Deep Learning (2025)10.1016/b978-1-4160-2911-3.50026-1 (2000)Reliability of the methods applied to assess age minority in living subjects around 18 years old (2004)Biological maturation of youth athletes: assessment and implications (2015)
this work references cited by second hop

References

  • 1996Bone age in children of diverse ethnicity.238 cited

Cited by

  • 2018Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data74 cited
  • 2013Bone age assessment: automated techniques coming of age?64 cited
  • 2022Accuracy and self-validation of automated bone age determination54 cited
  • 2017Tanner–Whitehouse Skeletal Ages in Male Youth Soccer Players: TW2 or TW3?54 cited
  • 2023Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias47 cited
  • 2020Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs41 cited
  • 2015What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents34 cited
  • 2018Reducing acquisition time for MRI-based forensic age estimation21 cited
  • 2021Concordances and correlations between chronological, dental and bone ages: A retrospective study in French individuals15 cited
  • 2020The Greulich-Pyle and Gilsanz-Ratib atlas method versus automated estimation tool for bone age: a multi-observer agreement study15 cited
  • 2023Evaluation of height prediction models: from traditional methods to artificial intelligence11 cited
  • 2020Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle

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11 cited
  • 2015Automated Classification of Epiphyses in the Distal Radius and Ulna using a Support Vector Machine8 cited