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Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs
14 references·8 citing·29 second hop
Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs (2020)Rethinking Greulich and Pyle: A Deep Lear…Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis (2019)Is the Greulich and Pyle atla…Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis (2019)Bone age assessment with vari…MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling (2018)MABAL: a Novel Deep-Learning …Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)Performance of a Deep-Learnin…Fully Automated Deep Learning System for Bone Age Assessment (2017)Fully Automated Deep Learning…Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency (2017)Computerized Bone Age Estimat…Deep learning for automated skeletal bone age assessment in X-ray images (2016)Deep learning for automated s…The Use of Bone Age in Clinical Practice – Part 2 (2011)The Use of Bone Age in Clinic…Validation and Reference Values of Automated Bone Age Determination for Four Ethnicities (2010)Validation and Reference Valu…The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)The BoneXpert Method for Auto…Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age (2008)Racial Differences in Growth …Effect of Knowledge of Chronologic Age on the Variability of Pediatric Bone Age Determined Using the Greulich and Pyle Standards (2001)Effect of Knowledge of Chrono…Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods (1999)Bone age assessment: a large …RELIABILITY OF SKELETAL AGE ASSESSMENTS (1973)RELIABILITY OF SKELETAL AGE A…Deep Learning Based Evaluation of Skeletal Maturation: A Comparative Analysis of Five Hand‐Wrist Methods (2025)Deep Learning Based Evaluatio…Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review (2025)Artificial Intelligence-Based…Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study (2024)Deep learning-based automated…Assessment of Bone Age Based on Hand Radiographs Using Regression-Based Multi-Modal Deep Learning (2024)Assessment of Bone Age Based …High performance for bone age estimation with an artificial intelligence solution (2023)High performance for bone age…Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method (2022)Re-Assessment of Applicabilit…Difference between bone age at the hand and elbow at the onset of puberty (2022)Difference between bone age a…Age Estimation from Left-Hand Radiographs with Deep Learning Methods (2021)Age Estimation from Left-Hand…RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Bone age in children of diverse ethnicity. (1996)Assessment of skeletal maturity and prediction of adult height:(TW3 Method) (2001)A History of the Study of Human Growth (1982)The Shorthand Bone Age Assessment (2013)Traditional and New Methods of Bone Age Assessment-An Overview (2020)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)Bone age: assessment methods and clinical applications (2015)Bone Age: A Handy Tool for Pediatric Providers (2017)Evaluation of Bone Age in Children: A Mini-Review (2021)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Age estimation: The state of the art in relation to the specific demands of forensic practise (2000)Applicability of two commonly used bone age assessment methods to twenty-first century UK children (2019)Multi-factorial age estimation: A Bayesian approach combining dental and skeletal magnetic resonance imaging (2019)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment (2021)Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach (2021)Machine learning assisted Cameriere method for dental age estimation (2021)Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks (2018)Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph (2018)Deep Neural Networks for Chronological Age Estimation From OPG Images (2020)Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction (2019)Forensic age estimation for pelvic X-ray images using deep learning (2018)Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions (2020)Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives (2022)Incorporated region detection and classification using deep convolutional networks for bone age assessment (2019)
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References

  • 2017Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs456 cited
  • 2017Fully Automated Deep Learning System for Bone Age Assessment452 cited
  • 2009The BoneXpert Method for Automated Determination of Skeletal Maturity438 cited
  • 2016Deep learning for automated skeletal bone age assessment in X-ray images434 cited
  • 1999Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods248 cited
  • 2008Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age190 cited
  • 2017Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency168 cited
  • 2019Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis151 cited
  • 2019Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis118 cited
  • 2010Validation and Reference Values of Automated Bone Age Determination for Four Ethnicities102 cited
  • 2018MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling90 cited
  • 2011The Use of Bone Age in Clinical Practice – Part 287 cited
  • 2001Effect of Knowledge of Chronologic Age on the Variability of Pediatric Bone Age Determined Using the Greulich and Pyle Standards86 cited

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RELIABILITY OF SKELETAL AGE ASSESSMENTS
46 cited

Cited by

  • 2021Age Estimation from Left-Hand Radiographs with Deep Learning Methods28 cited
  • 2023High performance for bone age estimation with an artificial intelligence solution20 cited
  • 2022Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method14 cited
  • 2024Assessment of Bone Age Based on Hand Radiographs Using Regression-Based Multi-Modal Deep Learning13 cited
  • 2025Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review12 cited
  • 2022Difference between bone age at the hand and elbow at the onset of puberty10 cited
  • 2025Deep Learning Based Evaluation of Skeletal Maturation: A Comparative Analysis of Five Hand‐Wrist Methods9 cited
  • 2024Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study9 cited