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Seonggwang Jeon

Showing results (1-10 of 9) with videos related to

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Scientific Reports|August 21, 2024
Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learningYeon-Hee Lee, Seonggwang Jeon, Q-Schick Auh, et al.
Scientific Reports|August 14, 2024
Automatic detection and visualization of temporomandibular joint effusion with deep neural networkYeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, et al.
Scientific Reports|October 28, 2025
Distinguishing acute and chronic TMD in adolescent patientsYeon-Hee Lee, Q-Schick Auh, Seonggwang Jeon, et al.
Scientific Reports|December 17, 2024
Author Correction: Automatic detection and visualization of temporomandibular joint effusion with deep neural networkYeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, et al.
Communications Medicine|September 29, 2025
Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networksYeon-Hee Lee, Seonggwang Jeon, Do-Hoon Kim, et al.
Scientific Reports|December 13, 2025
Clinical features and subgroup patterns in elderly and super-elderly TMD patientsYeon-Hee Lee, Seonggwang Jeon, Tae-Seok Kim, et al.
Scientific Reports|August 29, 2025
DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongueYeon-Hee Lee, Seonggwang Jeon, Junho Jung, et al.
Iscience|January 7, 2026
Deep learning-based diagnosis of temporomandibular joint osteoarthritis using whole-body bone scansYeon-Hee Lee, Hee-Sung Kim, Seonggwang Jeon, et al.
Bioinformatics (Oxford, England)|November 23, 2023
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy functionJae-Won Lee, Jong-Hyun Won, Seonggwang Jeon, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|August 21, 2024
Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learningYeon-Hee Lee, Seonggwang Jeon, Q-Schick Auh, et al.
Scientific Reports|August 14, 2024
Automatic detection and visualization of temporomandibular joint effusion with deep neural networkYeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, et al.
Scientific Reports|October 28, 2025
Distinguishing acute and chronic TMD in adolescent patientsYeon-Hee Lee, Q-Schick Auh, Seonggwang Jeon, et al.
Scientific Reports|December 17, 2024
Author Correction: Automatic detection and visualization of temporomandibular joint effusion with deep neural networkYeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, et al.
Communications Medicine|September 29, 2025
Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networksYeon-Hee Lee, Seonggwang Jeon, Do-Hoon Kim, et al.
Scientific Reports|December 13, 2025
Clinical features and subgroup patterns in elderly and super-elderly TMD patientsYeon-Hee Lee, Seonggwang Jeon, Tae-Seok Kim, et al.
Scientific Reports|August 29, 2025
DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongueYeon-Hee Lee, Seonggwang Jeon, Junho Jung, et al.
Iscience|January 7, 2026
Deep learning-based diagnosis of temporomandibular joint osteoarthritis using whole-body bone scansYeon-Hee Lee, Hee-Sung Kim, Seonggwang Jeon, et al.
Bioinformatics (Oxford, England)|November 23, 2023
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy functionJae-Won Lee, Jong-Hyun Won, Seonggwang Jeon, et al.
Pageof 1