Eun-Gyu Ha🤔

MILAB (Medical Image Artificial Intelligence Laboratory) 

Electrical &Electronic Engineering

Yonsei University

Integrated MS/PhD student

eungyuha9722@yonsei.ac.kr

EDUCATION

Sep. 2022 ~ Present Yonsei University Seoul, Korea

                                                                        Department of Electrical and Electronic Engineering

Mar. 2020 ~ Aug. 2022 Yonsei University Seoul, Korea

                                                                        Department of Oral and Maxillofacial Radiology

Mar. 2016 ~ Feb. 2020 Gachon University Gyeonggi-do, Korea

                                                                        Department of Energy IT 

PUBLICATIONS (SCIE, ESCI)

1. Ha EG, Jeon KJ, Lee C, Kim DH*, Han SS*.  Magnetic resonance image generation using enhanced TransUNet in temporomandibular disorder patients. Dentomaxillofacial Radiology. 2025; twaf017

2. Ha EG, Jeon KJ, Lee C, Kim HS, Han SS*. Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographs. Dentomaxillofacial Radiology. 2023;96:20220413.

3. Ha EG†, Jeon KJ†, Choi HS, Lee C, Choi YJ, Han SS*. Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm. Scientific Reports. 2023;13:2734.

4. Jeon KJ†, Ha EG†, Choi HS, Lee C, Han SS*. Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographs. Scientific Reports. 2022;12:15402. 

5. Ha EG†, Jeon KJ†, Kim YH, Kim JY, Han SS*. Automatic detection of mesiodens on panoramic radiographs using artificial intelligence. Scientific Reports. 2021;11:23061.

6. Kim YH†, Ha EG†, Jeon KJ, Lee C, Han SS*. A fully automated method of human identification based on dental panoramic radiographs using a convolutional neural network. Dentomaxillofacial Radiology. 2021;50: 20210383. 

7. Kim HS, Ha EG, Lee A, Choi YJ, Jeon KJ, Han SS, Lee C*. Refinement of image quality in panoramic radiography using a generative adversarial network. Dentomaxillofacial Radiology. 2023;51:20230007.

8. Jeon KJ, Kim YH, Choi HS, Ha EG, Jeong H, Han SS*. Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot study. PloS one. 2023;18:e0280523.

9. Lee C, Ha EG, Choi YJ, Jeon KJ, Han SS*. Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocol. Imaging Science in Dentistry. 2022;52(4):393. 

10. Choi HS, Jeon KJ, Kim YH, Ha EG, Lee C, Han SS*. Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images. Scientific Reports. 2022;12:14009.

11. Kim HS, Ha EG, Kim YH, Jeon KJ, Lee C, Han SS*. Transfer learning in a deep convolutional neural network for implant fixture classification: A pilot study. Imaging Science in Dentistry. 2022;52(2):219.

12. Jeon KJ, Kim YH, Ha EG, Choi HS, Ahn HJ, Lee JR, Hwang D, Han SS*. Quantitative analysis of the mouth opening movement of temporomandibular joint disorder patients according to disc position using computer vision: a pilot study. Quantitative Imaging in Medicine and Surgery. 2021;10.21037/qims-21-629.

13. Kim YH, Lee C, Ha EG, Choi YJ*, Han SS*. A fully deep learning model for the automatic identification of cephalometric landmarks. Imaging Science in Dentistry. 2021;51(3):299-306.

14. Shin DH, Ha EG, Kim TO, Kim CB*. Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning. Soft Computing. 2021;25:771-783.

†these authors contributed equally to this work

PUBLICATIONS (Domestic)

1. Ha EG, Kim CB*. Model Implementation of Reinforcement Learning for Trading Prediction Using Deep Q Network. The Journal of Korean Institute of Information Technology. 2019;17(4):1-8.

INTERNATIONAL CONFERENCES

1. Ha EG, Han SS. and Kim DH*. Development of a Semi-Supervised Approach for TMJ Disc Segmentation in MRI Using a Foundation Model, International Society for Magnetic Resonance in Medicine (ISMRM). 2025 ISMRM & ISMRT Annual Meeting, Hawaii, USA, 2025.

2. Ha EG, Jung KJ, Al-masni M.A. and Kim DH*. Integrating Deep Learning for Detection and Correction of Motion Artifacts in multi-echo GRE MRI, International Society for Magnetic Resonance in Medicine (ISMRM). 2024 ISMRM & ISMRT Annual Meeting, Singapore, 2024.

3. Ha EG, Kim YH, Han SS*. Fully automated human identification based on deep learning algorithm using dental panoramic radiograph. The International Association of DentoMaxilloFacial Radiology (IADMFR). The 23rd International Congress of DentoMaxilloFacial Radiology, Gwangju, Korea,2021.

DOMESTIC CONFERENCES

1. Shin CK, Jang JH, Choi KN, Ha EG. Automatic control window using the Speech Recognition API. The Institute of Electronics and Information Engineers. Summer Annual Conference of IEIE, Jeju Island, Korea, 2018.

2. Kim HJ, Ha EG, Kim TO, Shin SH, Han SS*. Development of Application for the Initial Suppression of Fire. Korean Institute of Information Technology. Proceeding of KIIT Conference, Daejeon, Korea, 2019.