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Eun-Gyu Ha

Showing results (1-10 of 14) with videos related to

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Scientific Reports|September 13, 2022
Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographsKug Jin Jeon, Eun-Gyu Ha, Hanseung Choi, et al.
Imaging Science in Dentistry|January 6, 2023
Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocolChena Lee, Eun-Gyu Ha, Yoon Joo Choi, et al.
Dento Maxillo Facial Radiology|March 19, 2025
Magnetic resonance image generation using enhanced TransUNet in Temporomandibular disorder patientsEun-Gyu Ha, Kug Jin Jeon, Chena Lee, et al.
Dento Maxillo Facial Radiology|November 26, 2021
A fully automated method of human identification based on dental panoramic radiographs using a convolutional neural networkYoung Hyun Kim, Eun-Gyu Ha, Kug Jin Jeon, et al.
Dento Maxillo Facial Radiology|May 16, 2023
Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographsEun-Gyu Ha, Kug Jin Jeon, Chena Lee, et al.
Imaging Science in Dentistry|October 8, 2021
A fully deep learning model for the automatic identification of cephalometric landmarksYoung Hyun Kim, Chena Lee, Eun-Gyu Ha, et al.
Scientific Reports|November 30, 2021
Automatic detection of mesiodens on panoramic radiographs using artificial intelligenceEun-Gyu Ha, Kug Jin Jeon, Young Hyun Kim, et al.
Plos One|January 19, 2023
Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot studyKug Jin Jeon, Young Hyun Kim, Hanseung Choi, et al.
Scientific Reports|February 15, 2023
Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithmEun-Gyu Ha, Kug Jin Jeon, Hanseung Choi, et al.
Scientific Reports|August 17, 2022
Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic imagesHanseung Choi, Kug Jin Jeon, Young Hyun Kim, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Scientific Reports|September 13, 2022
Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographsKug Jin Jeon, Eun-Gyu Ha, Hanseung Choi, et al.
Imaging Science in Dentistry|January 6, 2023
Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocolChena Lee, Eun-Gyu Ha, Yoon Joo Choi, et al.
Dento Maxillo Facial Radiology|March 19, 2025
Magnetic resonance image generation using enhanced TransUNet in Temporomandibular disorder patientsEun-Gyu Ha, Kug Jin Jeon, Chena Lee, et al.
Dento Maxillo Facial Radiology|November 26, 2021
A fully automated method of human identification based on dental panoramic radiographs using a convolutional neural networkYoung Hyun Kim, Eun-Gyu Ha, Kug Jin Jeon, et al.
Dento Maxillo Facial Radiology|May 16, 2023
Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographsEun-Gyu Ha, Kug Jin Jeon, Chena Lee, et al.
Imaging Science in Dentistry|October 8, 2021
A fully deep learning model for the automatic identification of cephalometric landmarksYoung Hyun Kim, Chena Lee, Eun-Gyu Ha, et al.
Scientific Reports|November 30, 2021
Automatic detection of mesiodens on panoramic radiographs using artificial intelligenceEun-Gyu Ha, Kug Jin Jeon, Young Hyun Kim, et al.
Plos One|January 19, 2023
Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot studyKug Jin Jeon, Young Hyun Kim, Hanseung Choi, et al.
Scientific Reports|February 15, 2023
Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithmEun-Gyu Ha, Kug Jin Jeon, Hanseung Choi, et al.
Scientific Reports|August 17, 2022
Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic imagesHanseung Choi, Kug Jin Jeon, Young Hyun Kim, et al.
Pageof 2