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The Journal of Clinical Pediatric Dentistry|May 17, 2024
Classification of presence of missing teeth in each quadrant using deep learning artificial intelligence on panoramic radiographs of pediatric patientsEunjin Kim, Jae Joon Hwang, Bong-Hae Cho, et al.
Children (Basel, Switzerland)|May 16, 2023
Guided Autotransplantation of Impacted Canines Using a CAD/CAM Surgical TemplateSoyoung Park, Haena Lee, Eungyung Lee, et al.
The Journal of Clinical Pediatric Dentistry|August 1, 2024
Antimicrobial effect of two fluoride-releasing adhesive tapes on <i>Streptococcus mutans</i> biofilmOk Hyung Nam, Tae-Young Park, Seo-Rin Jeong, et al.
Journal of Dental Sciences|January 16, 2023
Deep focus approach for accurate bone age estimation from lateral cephalogramHyejun Seo, JaeJoon Hwang, Yun-Hoa Jung, et al.
Polymers|November 14, 2023
Strength and Surface Characteristics of 3D-Printed Resin Crowns for the Primary MolarsSoyoung Park, Wontak Cho, Hyeonjong Lee, et al.
Lipids|January 15, 2008
Developmental, hormonal, and nutritional regulation of porcine adipose triglyceride lipase (ATGL)Jeffrey A Deiuliis, Jonghyun Shin, Dongryeoul Bae, et al.
The Journal of Clinical Pediatric Dentistry|August 1, 2024
Comparative analysis of deep-learning-based bone age estimation between whole lateral cephalometric and the cervical vertebral region in childrenSuhae Kim, Jonghyun Shin, Eungyung Lee, et al.
Biochemical and Biophysical Research Communications|April 1, 2014
The TWEAK-Fn14 dyad is involved in age-associated pathological changes in skeletal muscleMarjan M Tajrishi, Shuichi Sato, Jonghyun Shin, et al.
Skeletal Muscle|July 10, 2013
TWEAK promotes exercise intolerance by decreasing skeletal muscle oxidative phosphorylation capacityShuichi Sato, Yuji Ogura, Vivek Mishra, et al.
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