￭ 학력 및 경력

2015 이학박사(방사선학), 연세대학교

2015-2017 조교수, 을지대학교 방사선학과

2018-2019 조교수, 가천대학교 방사선학과

2020-현재  조교수, 부교수, 가천대학교 방사선학과

￭ 소개

의료영상 및 공학 연구실은 국내외 주요 연구진들과 협력하여 뇌과학 분야를 포함한 방사선 진단 관련 전분야를 연구하고 있습니다. 딥러닝 또는 소프트웨어 기술을 활용한 의료영상처리를 기반으로 하는 뉴로이미징 연구와 더불어 알츠하이머 질병 진단률 향상을 위한 다양한 영상 화질 개선 알고리즘 개발에 관하여 심도있는 연구를 진행하고 있습니다. 또한, 3D 프린팅 기술 및 Monte Carlo 시뮬레이션 적용에 관한 융합 연구를 수행하여 뇌과학 분야의 발전에 보탬이 되고자 합니다.

￭키워드

뇌과학, 뉴로이미징, 의료영상처리, 의료영상 및 공학, 3D 프린팅, Monte Carlo 시뮬레이션

￭ 최근 연구업적(2025-현재) 

1.Hajin Kim, Youngjin Lee, Application and optimization of Lee filter for segmentation of benign tumor in breast ultrasound images, Journal of Medical Physics, accepted.

2.Sewon Lim, Hajin Kim, Kang-Hyeon Seo, Youngjin Lee, Modeling of Severity Classification Algorithm Using Abdominal Aortic Aneurysm Computed Tomography Image Segmentation Based on U-Net with Improved Noise Reduction Performance, Sensors, vol. 25, pp. 6509, 2025. 10. 22.

3.Jina Shim, Youngjin Lee, Kyuseok Kim, Quantitative evaluation of low-dose CT image quality using deep learning reconstruction: a comparative study of Philips Precise Image and GE TrueFidelity, Journal of Imaging, vol. 11, pp. 317, 2025. 09. 16.

4.Soungmo Park, Seong-Hyeon Kang, Youngjin Lee, Optimization of the Non-Local Means Algorithm for Breast Diffusion-Weighted Magnetic Resonance Imaging Using a 3D-Printed Breast-Mimicking Phantom, Life, vol. 15, pp. 1373, 2025. 08. 29.

5.Taehun Hong, Seonyeoung Hong, Eonju Do, Hyewon Ko, Kyuseok Kim, Youngjin Lee, Enhanced Cerebrovascular Extraction Using Vessel-Specific Preprocessing of Time-Series Digital Subtraction Angiograph, Photonics, vol. 12, pp. 852, 2025. 08. 25.

6.Sewon Lim, Hajin Kim, Youngjin Lee, Longitudinal tract-based spatial statistics analysis of white matter diffusivity changes and cognitive decline during the transition from MCI to Alzheimer’s disease, PLoS One, vol. 20, pp. e0329893, 2025. 08. 05.

7.Hajin Kim, Kang-Hyeon Seo, Kyuseok Kim, Jina Shim, Youngjin Lee, Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images, European Journal of Radiology, vol. 188, pp. 112137, 2025. 07. 31.

8.Youngjin Lee, Min-Gwan Lee, Seungwan Lee, Chanrok Park, Performance evaluation of ResNet model for noise reduction according to Gaussian noise in nuclear medicine images, Journal of Magnetics, vol. 30, pp. 195-202, 2025. 06. 30.

9.Jae-Hong Jung, Daegun Kim, Kyung-Bae Lee, Youngjin Lee, Performance Evaluation of Large Language Model Chatbots for Radiation Therapy Education, Information, vol. 16, pp. 521, 2025. 06. 22.

10.Seong-Hyeon Kang, Kyuseok Kim, Jina Shim, Youngjin Lee, Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods, Scientific Reports, vol. 15, pp. 13281, 2025. 04. 17.

11.Kyuseok Kim, Hajin Kim, Sewon Lim, Seong-Hyeon Kang, Youngjin Lee, Exemplar-Based Inpainting Algorithm for Metal Artifact Areas in Brain Magnetic Resonance Images, Journal of Magnetics, vol. 30, pp. 67-73, 2025. 03. 31.

12.Youngjin Lee, Noise level and no-reference-based evaluations for gamma-ray image using non-local means algorithm with CZT photon counting semiconductor detector, Applied Radiation and Isotopes, vol. 217, pp. 111628, 2025. 03. 31.

13.Minkyoung Kim, Kyuseok Kim, Hyun-Woo Jeong, Youngjin Lee, Quantitative evaluation of kidney and gallbladder stones by texture analysis using gray level co-occurrence matrix based on diagnostic ultrasound images, Journal of Clinical Medicine, vol. 14, pp. 2268, 2025. 03. 26.

14.Kyuseok Kim, Youngjin Lee, Investigation of blind deconvolution method with total variation regularization in cardiac cine magnetic resonance imaging, Electronics, vol. 14, pp. 743, 2025. 02. 13.

15.Dohyeon Kim, Haenghwa Lee, Dong-Seok Shin, Youngjin Lee, Feasibility study of hybrid scanning technique parameters on dose reduction and CT-image quality, Radiation Physics and Chemistry, vol. 226, pp. 112179, 2025. 01. 31.

16.Kyuseok Kim, Youngjin Lee, Gray-level co-occurrence matrix uniformity correction algorithm in positron emission tomographic image: a phantom study, Photonics, vol. 12, pp. 33, 2025. 01. 03.