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IEEE Transactions on Medical Imaging, ISSN 0278-0062, 01/2009, Volume 28, Issue 1, pp. 52 - 66
Bone age rating is associated with a considerable variability from the human interpretation, and this is the motivation for presenting a new method for automated determination of bone age (skeletal maturity... 
Technological innovation | Humans | skeletal maturity | Predictive models | Reconstruction algorithms | shape analysis | Active shape model | Image reconstruction | Radiography | Image quality | Morphology | Active appearance models | bone age | Bones | computer aided diagnosis (CAD) | quantitative radiology | Computer aided diagnosis (CAD) | Shape analysis | Skeletal maturity | Bone age | Quantitative radiology | ENGINEERING, BIOMEDICAL | PYLE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | TANNER | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BONE-AGE ASSESSMENT | GREULICH | Reproducibility of Results | Age Determination by Skeleton - methods | Arm - anatomy & histology | Child, Preschool | Male | Bone Development | Hand - diagnostic imaging | Image Processing, Computer-Assisted - methods | Arm - diagnostic imaging | Bone and Bones - anatomy & histology | Hand - anatomy & histology | Bone and Bones - diagnostic imaging | Adolescent | Anthropometry - methods | Female | Computer-Aided Design | Child | Principal Component Analysis | Models, Anatomic | Radiology | Radiology, Medical | Diagnostic imaging | Analysis | Principal components analysis | Reconstruction | Automated | Radiographs | Images | Mathematical models | Texture | Age
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Forensic Science International, ISSN 0379-0738, 10/2017, Volume 279, pp. 241 - 250
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Computers in Biology and Medicine, ISSN 0010-4825, 2015, Volume 67, pp. 41 - 48
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