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Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph
7 references·16 citing·25 second hop
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph (2018)Regression Convolutional Neural Network f…Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks (2018)Paediatric Bone Age Assessmen…Deep learning for automated skeletal bone age assessment in X-ray images (2016)Deep learning for automated s…The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)The BoneXpert Method for Auto…Bone age assessment of children using a digital hand atlas (2007)Bone age assessment of childr…Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Assessment of skeletal maturi…Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction (2001)Computer-assisted bone age as…Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods (1994)Reproducibility of bone ages …Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction (2023)Bone age assessment based on …RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images (2022)RAGCN: Region Aggregation Gra…A comparative study of three bone age assessment methods on Chinese preschool-aged children (2022)A comparative study of three …Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism (2021)Intelligent Bone Age Assessme…Fully Automatic Model Based on SE-ResNet for Bone Age Assessment (2021)Fully Automatic Model Based o…Faster Region-Convolutional Neural network oriented feature learning with optimal trained Recurrent Neural Network for bone age assessment for pediatrics (2021)Faster Region-Convolutional N…Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment (2021)Attention-Guided Discriminati…Age-group determination of living individuals using first molar images based on artificial intelligence (2021)Age-group determination of li…Traditional and New Methods of Bone Age Assessment-An Overview (2020)Traditional and New Methods o…Self-Supervised Attention Mechanism for Pediatric Bone Age Assessment With Efficient Weak Annotation (2020)Self-Supervised Attention Mec…Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks (2020)Mimicking the radiologists’ w…Evaluation of the clinical efficacy of a TW3-based fully automated bone age assessment system using deep neural networks (2020)Evaluation of the clinical ef…An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity (2020)An Ensemble-Based Densely-Con…Skeletal bone age assessments for young children based on regression convolutional neural networks (2019)Skeletal bone age assessments…Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment (2019)Extract Bone Parts Without Hu…Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach (2019)Age Assessment of Youth and Y…Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)The reliability of bone age determination in central European children using the Greulich and Pyle method. (1999)Applicability of the skeletal age determination method of Tanner and Whitehouse for forensic age diagnostics (2008)Hand X-ray in pediatric endocrinology: Skeletal age assessment and beyond (2014)RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age (2008)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Fully Automated Deep Learning System for Bone Age Assessment (2017)Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis (2019)Automated age estimation of young individuals based on 3D knee MRI using deep learning (2020)A new system of dental age assessment. (1973)A comparison of bone age assessments using automated and manual methods in children of Indian ethnicity (2022)Bone age assessment: Large-scale comparison of Greulich-Pyle method and Tanner-Whitehouse 3 method for Taiwanese children (2023)Precision and Accuracy of Radiological Bone Age Assessment in Children among Different Ethnic Groups: A Systematic Review (2023)Variations in Pulp/Tooth Area Ratio as an Indicator of Age: a Preliminary Study (2004)Dental Evidence in Forensic Identification – An Overview, Methodology and Present Status (2015)Automated estimation of chronological age from panoramic dental X-ray images using deep learning (2021)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)Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method (2008)An Automated Method for Determination of Bone Age (2009)Forensic age estimation in human skeletal remains: Current concepts and future directions (2009)Application and performance of artificial intelligence technology in forensic odontology – A systematic review (2020)Deep Neural Networks for Chronological Age Estimation From OPG Images (2020)
this work references cited by second hop

References

  • 2002Assessment of skeletal maturity and prediction of adult height (TW3 method).474 cited
  • 2009The BoneXpert Method for Automated Determination of Skeletal Maturity438 cited
  • 2016Deep learning for automated skeletal bone age assessment in X-ray images434 cited
  • 2007Bone age assessment of children using a digital hand atlas214 cited
  • 2001Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction209 cited
  • 2018Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks195 cited
  • 1994Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods169 cited

Cited by

  • 2021Age-group determination of living individuals using first molar images based on artificial intelligence99 cited
  • 2020Traditional and New Methods of Bone Age Assessment-An Overview81 cited
  • 2020An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity74 cited
  • 2020Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks54 cited
  • 2021Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment51 cited
  • 2021Fully Automatic Model Based on SE-ResNet for Bone Age Assessment50 cited

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2019
Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach
42 cited
  • 2020Self-Supervised Attention Mechanism for Pediatric Bone Age Assessment With Efficient Weak Annotation31 cited
  • 2021Faster Region-Convolutional Neural network oriented feature learning with optimal trained Recurrent Neural Network for bone age assessment for pediatrics28 cited
  • 2022RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images27 cited
  • 2023Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction27 cited
  • 2019Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment26 cited
  • 2021Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism26 cited
  • 2019Skeletal bone age assessments for young children based on regression convolutional neural networks25 cited
  • 2022A comparative study of three bone age assessment methods on Chinese preschool-aged children24 cited
  • 2020Evaluation of the clinical efficacy of a TW3-based fully automated bone age assessment system using deep neural networks22 cited