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1 Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study
Hossein Mohammad-Rahimi, Saeed Reza Motamadian, Mohadeseh Nadimi, Sahel Hassanzadeh-Samani, Mohammad A. S. Minabi, Erfan Mahmoudinia, Victor Y. Lee, Mohammad Hossein Rohban
Korean J Orthod.2022;52(2):112-122.   Published online 2022 March 25     DOI: http://dx.doi.org/10.4041/kjod.2022.52.2.112
      
2 Evaluation of growth changes induced by functional appliances in children with Class II malocclusion: Superimposition of lateral cephalograms on stable structures
Eunhye Oh, Sug-Joon Ahn, Liselotte Sonnesen
Korean J Orthod.2020;50(3):170-180.   Published online 2020 May 25     DOI: http://dx.doi.org/10.4041/kjod.2020.50.3.170
      
3 Comparison of condylar displacement between three biotypological facial groups by using mounted models and a mandibular position indicator
Maria João Ponces, José Pedro Tavares, Jorge Dias Lopes, Afonso Pinhão Ferreira
Korean J Orthod.2014;44(6):312-319.   Published online 2014 November 24     DOI: http://dx.doi.org/10.4041/kjod.2014.44.6.312
      
4 Skeletal maturation evaluation using mandibular third molar development in adolescents
Sun-Mi Cho, Chung-Ju Hwang
Korean J Orthod.2009;39(2):120-129.   Published online 2009 April 30     DOI: http://dx.doi.org/10.4041/kjod.2009.39.2.120
      
5 Monitoring Growth in Childhood: Practical Clinical Guide
In Kyung Sung
J Korean Med Assoc.2009;52(3):211-224.   Published online 2009 March 31     DOI: http://dx.doi.org/10.5124/jkma.2009.52.3.211
      

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