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Jun-Ho Moon

Showing results (1-10 of 16) with videos related to

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The Angle Orthodontist|December 30, 2020
Evaluation of an automated superimposition method for computer-aided cephalometricsJun-Ho Moon, Hye-Won Hwang, Shin-Jae Lee
Microbial Cell Factories|February 5, 2020
Redesign and reconstruction of a steviol-biosynthetic pathway for enhanced production of steviol in Escherichia coliJun Ho Moon, Kunjoong Lee, Jun Ho Lee, et al.
The Angle Orthodontist|January 12, 2025
Craniofacial growth prediction models based on cephalometric landmarks in Korean and American childrenJong-Hak Kim, Jun-Ho Moon, Jeffrey Roseth, et al.
The Angle Orthodontist|January 12, 2021
Evaluation of automated cephalometric analysis based on the latest deep learning methodHye-Won Hwang, Jun-Ho Moon, Min-Gyu Kim, et al.
Orthodontics & Craniofacial Research|May 7, 2024
Factors influencing the development of artificial intelligence in orthodonticsJu-Myung Lee, Jun-Ho Moon, Ji-Ae Park, et al.
The Angle Orthodontist|December 30, 2020
How much deep learning is enough for automatic identification to be reliable?Jun-Ho Moon, Hye-Won Hwang, Youngsung Yu, et al.
The Angle Orthodontist|October 4, 2021
Evaluation of an automated superimposition method based on multiple landmarks for growing patientsMin-Gyu Kim, Jun-Ho Moon, Hye-Won Hwang, et al.
The Angle Orthodontist|August 18, 2022
Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares methodJun-Ho Moon, Min-Gyu Kim, Hye-Won Hwang, et al.
The Angle Orthodontist|January 30, 2025
Comparison of individualized facial growth prediction models using artificial intelligence and partial least squares based on the Mathews growth collectionJeffrey Roseth, Jong-Hak Kim, Jun-Ho Moon, et al.
The Angle Orthodontist|September 4, 2024
Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methodsSung Joo Cho, Jun-Ho Moon, Dong-Yub Ko, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
The Angle Orthodontist|December 30, 2020
Evaluation of an automated superimposition method for computer-aided cephalometricsJun-Ho Moon, Hye-Won Hwang, Shin-Jae Lee
Microbial Cell Factories|February 5, 2020
Redesign and reconstruction of a steviol-biosynthetic pathway for enhanced production of steviol in Escherichia coliJun Ho Moon, Kunjoong Lee, Jun Ho Lee, et al.
The Angle Orthodontist|January 12, 2025
Craniofacial growth prediction models based on cephalometric landmarks in Korean and American childrenJong-Hak Kim, Jun-Ho Moon, Jeffrey Roseth, et al.
The Angle Orthodontist|January 12, 2021
Evaluation of automated cephalometric analysis based on the latest deep learning methodHye-Won Hwang, Jun-Ho Moon, Min-Gyu Kim, et al.
Orthodontics & Craniofacial Research|May 7, 2024
Factors influencing the development of artificial intelligence in orthodonticsJu-Myung Lee, Jun-Ho Moon, Ji-Ae Park, et al.
The Angle Orthodontist|December 30, 2020
How much deep learning is enough for automatic identification to be reliable?Jun-Ho Moon, Hye-Won Hwang, Youngsung Yu, et al.
The Angle Orthodontist|October 4, 2021
Evaluation of an automated superimposition method based on multiple landmarks for growing patientsMin-Gyu Kim, Jun-Ho Moon, Hye-Won Hwang, et al.
The Angle Orthodontist|August 18, 2022
Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares methodJun-Ho Moon, Min-Gyu Kim, Hye-Won Hwang, et al.
The Angle Orthodontist|January 30, 2025
Comparison of individualized facial growth prediction models using artificial intelligence and partial least squares based on the Mathews growth collectionJeffrey Roseth, Jong-Hak Kim, Jun-Ho Moon, et al.
The Angle Orthodontist|September 4, 2024
Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methodsSung Joo Cho, Jun-Ho Moon, Dong-Yub Ko, et al.
Pageof 2