▶ 학력

- 가천대학교 대학원 IT융합공학과 졸업(공학박사)

- 조선대학교 대학원 컴퓨터공학과 졸업(공학석사)

- 조선대학교 컴퓨터공학과 졸업(공학사)

▶ 경력

- 2024.03 – 현재 : 국립한국교통대학교 컴퓨터공학과 조교수

- 2023.03 – 2024.02 : 국가수리과학연구소 박사후연구원

- 2022.04 – 2023.02 : 가천대학교 연구교수

▶ 연구 업적

[학술논문]

Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon, “Automated classification of liver fibrosis stages using ultrasound imaging, BMC Medical Imaging,” 36 (2024), 06 February 2024.

Hyun-Cheol Park, In-Pyo Hong, Sahadev Poudel, Chang Choi, “Data Augmentation based on Generative Adversarial Networks for Endoscopic Image Classification,” IEEE Access, Vol. 11, pp. 49216-49225, 11 May, 2023.

Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi, “Classification of Liver Fibrosis From Heterogeneous Ultrasound Image,” IEEE Access, Vol. 11, pp. 9920-9930, 27 January 2023.

Hyun-Cheol Park, Sahadev Poudel, Raman Ghimire, Sang-Woong Lee, “Polyp segmentation with consistency training and continuous update of pseudo-label,” Scientific Reports, 12, 14626 (2022), 26 August 2022.

Hyun-Cheol Park, Raman Ghimire, Sahadev Poudel, Sang-Woong Lee, “Deep Learning for Joint Classification and Segmentation of Histopathology Image,” Journal of Internet Technology, Vol. 23, no. 4, pp. 903-910, July 2022.

Hyun-Cheol Park, Sang-woong Lee, Heon Jeong, “Image-Based Gimbal Control in a Drone for Centering Photovoltaic Modules in a Thermal Image,” Applied Sciences-Basel, 10(13), 4646, 5 July 2020.

Hyun-Cheol Park, Yoon-Jae Kim, Sang-woong Lee, “Adenocarcinoma Recognition in Endoscopy Images Using Optimized Convolutional Neural Networks,” Applied Sciences-Basel, 10(5), 1650, 24 February 2020.

[연구과제]

(2024~2027) 의료영상 개선을 위한 생성모델과 인간피드백 방법 연구, 우수신진연구

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