๊น๊ท์ (Kyuseok Kim)
Research Professor (๊ฐ์ฒ๋ํ๊ต ํด๋จผ๋ณด๊ฑด๊ณผํ์ตํฉ์ฐ๊ตฌ์)
็พ ๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ธ๋๊ต์
ๅ ์์ง๋ํ๊ต ์๋ฃ๊ณตํ๊ณผ ์ฐ๊ตฌ๊ต์
ๅ ์ฐ์ธ๋ํ๊ต ์๊ณผ๋ํ ์ตํฉ์๊ณผํ๊ณผ ์ฐ๊ตฌ๊ต์
ๅ ํ๊ตญ์ ๊ธฐ์ฐ๊ตฌ์ ์ ๊ธฐ์๋ฃ๊ธฐ๊ธฐ์ฐ๊ตฌ์ผํฐ ๋ฐ์ฌ ํ ์ฐ๊ตฌ์
์ฐ์ธ๋ํ๊ต ๋ฐฉ์ฌ์ ์ตํฉ๊ณตํ๊ณผ ๋ฐ์ฌ ์กธ์ (2020๋ )
์ฐ์ธ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2015๋ )
Research interests: Medical imaging & physics, Deep learning
๊ฐ์ฑํ (Seong-Hyeon Kang)
Research Professor (๊ฐ์ฒ๋ํ๊ต ์ฐํํ๋ ฅ๋จ)
็พ ๊ฐ์ฒ๋ํ๊ต, ์ ํ๋ํ๊ต, ์์ฐ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ธ๋๊ต์
ๅ ์์ง๋ํ๊ต ์๋ฃ๊ณตํ๊ณผ ์ฐ๊ตฌ๊ต์
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ๋ฐ์ฌ ์กธ์ (2022๋ )
์์ง๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2019๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2017๋ )
Research interests: Medical imaging, Medical image artifact correction, Deep learningย
Research achievementsย
[๋ฐ์ฌํ์๋ ผ๋ฌธ] Segmentation for cerebral arteries with deep-learning in computed tomography angiography.
[์์ฌํ์๋ ผ๋ฌธ] Study on application for total variation noise reduction algorithm with phantom using 3D-printer in computed tomography.
์ค์ฐฝ์ (Chang-Soo Yun)
Research Professor (๊ฐ์ฒ๋ ๊ธธ๋ณ์)
ๅ ์์ธ๋ํ๊ต ์๊ณผ๋ํ ์์์ํ๊ต์ค ๋ฐ์ฌ ํ ์ฐ๊ตฌ์
์ฐ์ธ๋ํ๊ต ๋ฐฉ์ฌ์ ์ตํฉ๊ณตํ๊ณผ ๋ฐ์ฌ ์กธ์ (2025๋ )
์ฐ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2017๋ )
Research interests: Magnetic resonance physics, Clinical neurology, Multimodal neuroimagingย
Research achievementsย
[๋ฐ์ฌํ์๋ ผ๋ฌธ] Development of a Monitoring Technique for Dynamic Glymphatic System Activity during Sleep using Diffusion Magnetic Resonance Imaging.
๊นํ์ง (Hajin Kim)
Ph.D. Candidate (Full time researcher)
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2024๋ )
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2023๋ )
Research interests: Medical image segmentation & denoising, CT angiography, Deep learningย
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.
[์ฐ๊ตฌ๊ณผ์ ์์ฃผ (PI)] ์ ์ฐํ๋จ์ธต์ดฌ์ ์์ ๊ธฐ๋ฐ ํผํฉํ ํ๋ผํฌ์ ์ ๋ํ ๊ธฐ์ ์ด ์ ์ฉ๋ ๊ด์๋๋งฅ ์งํ์ ์งํ๋ ์์ธก ๋ชจ๋ธ ๊ฐ๋ฐ, ํ๊ตญ์ฐ๊ตฌ์ฌ๋จ ํ๋ฌธํ์์ธ๋์ง์์ฌ์ ๋ฐ์ฌ๊ณผ์ ์ ์ฐ๊ตฌ์ฅ๋ ค๊ธ, 50,000,000์,
[SCIE paper first author] Hajin Kim, Sewon Lim, Minji Park, Jina Shim, Caterina Battaglia, Kyuseok Kim, Youngjin Lee, Effect of BMI-related noise on liver fat quantification and coronary artery calcium scoring in electromagnetic X-ray computed tomography images, Journal of Magnetics, 2025.
[Scopus paper first author] Hajin Kim, Youngjin Lee, Application and Optimization of Lee Filter for Segmentation of Benign Tumor in Breast Ultrasound Images, Journal of Medical Physics, 2025.
[SCIE paper first author] 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, 2025.
[SCIE paper first author] Hajin Kim, Juho Park, Jina Shim, Youngjin Lee, Application and optimization of fast non-local means noise reduction algorithm in pediatric abdominal virtual monoenergetic images, Electronics, 2024.
[SCIE paper first author] Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee, Application of adaptive search window-based nonlocal total variation filter in low-dose computed tomography images: A phantom study, Applied Sciences, 2024.
[SCIE paper first author] Hajin Kim, Jun-Seon Choi, Youngjin Lee, Assessment of Feldkamp-Davis-Kress reconstruction parameters on overall image quality in cone beam computed tomography, Applied Sciences, 2024.
[SCIE paper first author] Hajin Kim, Sewon Lim, Minji Park, Kyuseok Kim, Seong-Hyeon Kang, Youngjin Lee, Optimization of fast non-local means noise reduction algorithm in computed tomographic images using 3D printed phantom, Diagnostics, 2024.
[KCI paper first author] Hajin Kim, Youngjin Lee, Comparative evaluation of filters for speckle noise reduction in clinical liver ultrasound image, Journal of Radiological Science and Technology, 2023.
์์ธ์ (Sewon Lim)
Ph.D. Candidate (Full time researcher)
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2024๋ )
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2023๋ )
Research interests: Clinical neurology, Medical image segmentation & denoising, Deep learning
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Longitudinal association of DTI-ALPS index with amyloid beta deposition and cognition.
[์ฐ๊ตฌ๊ณผ์ ์์ฃผ (PI)] ๊ฐ์ ๊ฒฉ์๋ฅผ ์ฌ์ฉํ ์ ๋ฐฉ X์ ์์์ ๋ ธ์ด์ฆ ์ฆํญ ํ์ ๊ทน๋ณต์ ์ํ ๋ฅ๋ฌ๋ ๊ธฐ๋ฐ ์์๋ณต์ framework ๊ฐ๋ฐ, ํ๊ตญ์ฌ์ฑ๊ณผํ๊ธฐ์ ์ก์ฑ์ฌ๋จ ์ฃผ๊ด ์ฌ๋ํ์์ ๊ณตํ์ฐ๊ตฌํ์ ์ง์์ฌ์ , 8,000,000์,
[SCIE paper first author] 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, 2025.
[SCIE paper first author] 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 Alzheimerโs disease, PLoS One, 2025.
[SCIE paper first author] Sewon Lim, Minji Park, Hajin Kim, Seong-Hyeon Kang, Youngjin Lee, Quantitative analysis of fast non-local means algorithm smoothing factor impact on lung segmentation accuracy in computed tomography images, Radiation Physics and Chemistry, 2024.
[Scopus paper first author] Sewon Lim, Hayun Nam, Hyemin Shin, Sein Jeong, Kyuseok Kim, Youngjin Lee, Noise reduction for virtual grid using generative adversarial network in breast X-ray images, Journal of Imaging, 2023.
[SCIE paper first author] Sewon Lim, Minji Park, Hajin Kim, Seong-Hyeon Kang, Kyuseok Kim, Youngjin Lee, Optimization of median modified Wiener filter for improving lung segmentation performance in low-dose computed tomography images, Applied Sciences, 2023.
[KCI paper first author] Sewon Lim, Youngjin Lee, Substitutability of Noise Reduction Algorithm based Conventional Thresholding Technique to U-Net Model for Pancreas Segmentation, Journal of the Korean Society of Radiology, 2023.
๋ฐ๋ฏผ์ง (Minji Park)
Ph.D. Candidate (Full time researcher)
ๅ ๋ดํฐ์ R&D ์ฐ๊ตฌ์ ์ฐ๊ตฌ์ย
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2023๋ )
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2021๋ )
Research interests: X-ray & CT imaging, Dental X-ray & MR imaging, Deep learning
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] The optimization of block-matching and 3D filtering in magnetic resonance imaging.
[์ฐ๊ตฌ๊ณผ์ ์์ฃผ (PI)] CsI ๋ฌผ์ง ๊ธฐ๋ฐ์ ๊ฐ์ ๋ ์ ์ ๊ฒ์ฌ์ฉ X-์ ๊ฒ์ถ๊ธฐ์์คํ ๊ฐ๋ฐ ๋ฐ ์ฑ๋ฅํ๊ฐ, ํ๊ตญ์ฌ์ฑ๊ณผํ๊ธฐ์ ์ก์ฑ์ฌ๋จ ์ฃผ๊ด ์ฌ๋ํ์์ ๊ณตํ์ฐ๊ตฌํ์ ์ง์์ฌ์ , 8,000,000์,
[SCIE paper first author] Minji Park, Sewon Lim, Hajin Kim, Jae-Young Kim, Youngjin Lee, Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images, Applied Radiation and Isotopes, 2024.
[SCIE paper first author] Minji Park, Seong-Hyeon Kang, Kyuseok Kim, Youngjin Lee, Simulation and experimental studies of optimization of ฯ-value for block-matching and 3D filtering algorithm in magnetic resonance images, Applied Sciences, 2023.
[SCIE paper first author] Bongju Han, Minji Park, Kyuseok Kim, Youngjin Lee, Characterization of Flexible Amorphous Silicon Thin-Film Transistor-Based Detectors with Positive-Intrinsic-Negative Diode in Radiography, Diagnostics, 2022.
[SCIE paper first author] Minji Park, Seohyeon Lee, Serin Choi, Soeun Lee, Seonyeong Han, Hyejin Lee, Seong-Hyeon Kang, Youngjin Lee, Deep learning-based noise reduction algorithm using patch group technique in cadmium zinc telluride fusion imaging system: a Monte Carlo simulation study, Optik, 2020.
์กฐํ๋ฏผ
M.S. Candidate (Full time researcher)
ํ์๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2026๋ )
Research interests:ย
๋ฐ์ฑ๋ชจ (Soungmo Park)
Ph.D. Candidate
็พ ๋ช ์ง๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2024๋ )
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2018๋ )
Research interests: MR imaging, MR image processing
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] The optimization of non-local means algorithm for breast diffusion magnetic resonance images using self-producted phantom.
[SCIE paper first author] 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, 2025.
์ด๋คํ (Dahye Lee)
Ph.D. Candidate
็พ ์์คํผ์ ๋ฐฉ์ฌ์ ์์ ๊ด๋ฆฌ์ฑ ์์
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2025๋ )
๋๋จ๋ณด๊ฑด๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2018๋ )
Research interests: Radiation shielding, Radiation protection, Monte Carlo simulation
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Radiological Characterization Inside the Bunker of a 10 MeV Electron Beam Accelerator.
์ด์์ง
M.S. Candidate
็พ ๊ฐ๋ถ์ผ์ฑ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์์ฃผ์ธ๋ธ๋์ค๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2022๋ )
Research interests: Clinical CT, CT imaging
๊น์งํ
M.S. Candidate
็พ ์์ธ์์ฐ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2021๋ )
Research interests: Clinical ultrasound, Ultrasound imaging
์์ค (Jun Lim)
M.S. Candidate
็พ ์ผ์ฑ์์ธ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2023๋ )
Research interests: X-ray dose evaluation, X-ray imaging, Monte Carlo simulation
Research achievementsย
[SCIE paper first author] Jun Lim, Seong-Hyeon Kang, Chan Rok Park, Youngjin Lee, Performance Evaluation of Image Characteristics by Changing Parameters in Brain T2 Weighted Neuroimages using MRiLab Simulation, Journal of Magnetics, 2021.ย
[ํํ๋ฐํ์์] ํฌ์คํฐ ์ฅ๋ ค์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ๋์งํธ์๋ฃ์์ํํ ์ธ์ , 2020. 10. 31. (๋ฐํ์ ๋ชฉ: Tendency evaluation of the image characteristics according to change of the flip angle in brain T2 weighted images: simulation study)
[๊ต๋ด ์์] ์๋์ค๋ฌ์ด ๊ฐ์ฒ์ธ์ ์์ (SCIE ๋ ผ๋ฌธ ์ถํ ๊ณต์ ), 2021.
์ฅ๋ฏผ์ฐ
M.S. Candidate
็พ ์ธํ๋ํ๊ต๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์ธ๋ธ๋์ค๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2021๋ )
Research interests: Clinical ultrasound, Ultrasound imaging
์๊ฐํ (๋ฐ์ฌ ์กธ์ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ๋ฐ์ฌ ์กธ์ (2025๋ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2022๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2017๋ )
็พ ์ธ์ฒํ๋ฆผ๋ณ์ ํ๊ด์กฐ์์ค ๊ทผ๋ฌด
็พ ์์ฐ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ๊ฒธ์๊ต์
็พ ๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ธ๋๊ต์
Research achievementsย
[๋ฐ์ฌํ์๋ ผ๋ฌธ] Study of cerebral artery segmentation with projection data in computed tomographic angiography using DeepLab V3+.
[์์ฌํ์๋ ผ๋ฌธ] Optimization of smoothing factor for fast non-local means algorithm in high pitch based low-dose CT images with tin-filter.
[SCIE paper first author] Kang-Hyeon Seo, Hajin Kim, Kyuseok Kim, Youngjin Lee, Cerebral arteries segmentation based on projection domain in single exposure computed tomographic angiography, Radiation Physics and Chemistry, under review.
[SCIE paper first author] Kang-Hyeon Seo, Seong-Hyeon Kang, Jina Shim, Youngjin Lee, Optimization of smoothing factor for fast non-local means algorithm in high pitch based low-dose computed tomography images with tin-filter, Radiation Physics and Chemistry, 2023.
[ํํ๋ฐํ์์] ํ์ ๋ฐํ ๋์, ๋ํ๋ฐฉ์ฌ์ ์ฌํํ ์ธ์ฒ๊ด์ญ์ํ ๋ฏธ์ถํ ํ์ ๋ํ, 2024. 04. 20. (๋ฐํ์ ๋ชฉ: ์ฐ๊ด์๋๋งฅ ์กฐ์์์์์ Laplacian ํํฐ์ ๋น์ง์ญ์ ํ๊ท ์๊ณ ๋ฆฌ์ฆ์ ์ ์ฉ์ฑ ํ๊ฐ)
[ํํ๋ฐํ์์] ํ์ ๋ฐํ ๋์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ๋์งํธ์๋ฃ์์ํํ ์ธ์ , 2021. 11. 06. (๋ฐํ์ ๋ชฉ: Denoising efficiency analysis by changing smoothing factor for fast non-local means algorithm in high pitch-based low-dose CT images with tin filter)
๊น๋ฏผ๊ฒฝ (๋ฐ์ฌ ์กธ์ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ๋ฐ์ฌ ์กธ์ (2025๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์์ฌ ์กธ์ (2018๋ )
์ฐ์ธ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2008๋ )
็พ ๋๋ถ์ ์ผ๋ณ์ sonographer
็พ ๋๋จ๋ณด๊ฑด๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ๊ฒธ์๊ต์
็พ ๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ธ๋๊ต์
ๅ ๊ดํ๋ณ์ sonographer
Research achievementsย
[๋ฐ์ฌํ์๋ ผ๋ฌธ] Quantitative analysis method for stone detection in diagnostic ultrasound images of kidney and gallbladder based on Gray Level Co-Occurrence Matrix (GLCM).
[์์ฌํ์๋ ผ๋ฌธ] Study on Development of Wavelet Transform Algorithm based on Patch to Remove Near Field Clutter (NFC) in Echocardiography.
[SCIE paper first author] 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, 2025.
[SCIE paper first author] Minkyoung Kim, Dong-Kyoon Han, Youngjin Lee, Near-field clutter artifact reduction algorithm based on wavelet thresholding method in echocardiography using 3D printed cardiac phantom, Journal of the Korean Physical Society, 2022.
๋ฐ์ฐฌ๋ก (๋ฐ์ฌ ํ ์ฐ๊ตฌ์)ย
็พ ์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ ์๊ต์
ๅ ์ ์ฃผ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ์ ์๊ต์
ๅ ์์ธ๋ํ๊ต๋ณ์ ํต์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[SCIE paper first author] Chan Rok Park, Seong-Hyeon Kang, Youngjin Lee, Median modified Wiener filter for improving the image quality of gamma camera images, Nuclear Engineering and Technology, 2020.
[SCIE paper first author] Chan Rok Park, Seong-Hyeon Kang, Youngjin Lee, Optimization of mask size with median modified Wiener filter algorithm for gamma images using pixelated semiconductor detector: Monte Carlo simulation study, Nuclear Engineering and Technology, 2020.
[SCIE paper co-author] Bae-Guen Kim, Seong-Hyeon Kang, Chan Rok Park, Hyun-Woo Jeong, Youngjin Lee, Noise Level and Similarity Analysis for Computed Tomographic Thoracic Image with Fast Non-Local Means Denoising Algorithm, Applied Sciences, 2020.
[SCIE paper co-author] Min Young Jang, Chan Rok Park, Seong-Hyeon Kang, Youngjin Lee, Experimental study of the fast non-local means noise reduction algorithm using the Hoffman 3D brain phantom in nuclear medicine SPECT image, Optik, 2020.
๊น๋ฆฌ๋ (์์ฌ ์กธ์ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2024๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2016๋ )
็พ ์์ฒํฅ๋ํ๊ต ๋ถ์ฒ๋ณ์ Sonographer
ๅ ๋ถ๋น์ฐจ๋ณ์ Sonographer
ๅ GE Healthcare ๊ทผ๋ฌด
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Application of deep learning-based multi-scale deep encoder-decoder with phase congruency algorithm to improve diagnostic ultrasound image quality.
[SCIE paper first author] Ryeonhui Kim, Kyuseok Kim, Youngjin Lee, A Multiscale Deep EncoderโDecoder with Phase Congruency Algorithm Based on Deep Learning for Improving Diagnostic Ultrasound Image Quality, Applied Sciences, 2023.
[ํํ๋ฐํ์์] ํ์ ๋ฐํ ์ฐ์์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ์ด์ํ์๋ฃ์์ํํ ์ธ์ , 2023. 10. 28. (๋ฐํ์ ๋ชฉ: ๋ฅ๋ฌ๋ ๊ธฐ๋ฐ multi-scale deep encoder-decoder with phase congruency (MSDEPC) ์๊ณ ๋ฆฌ์ฆ์ ์ด์ํ ์์ ์ ์ฉ ๊ฐ๋ฅ์ฑ ํ๊ฐ)
์ตํ๋ (์์ฌ ์กธ์ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2023๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2019๋ )
ๅ ์์ฒํฅ๋ํ๊ต ์์ธ๋ณ์ ๋ฐฉ์ฌ์ ์ข ์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์ด๋์์ธ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์์ฃผ์ธ๋ธ๋์ค๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Application of magnetic resonance imaging-based U-Net algorithm to improve Alzheimerโs disease diagnosis rate.
๋ชจ์คํฌ (์์ฌ ์กธ์ )
๊ฐ์ฒ๋ํ๊ต ๋ณด๊ฑด๊ณผํ๊ณผ ์์ฌ ์กธ์ (2022๋ )
์์ง๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2016๋ )
็พ ๋ถ์ฒ์ฑ๋ชจ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์์ธ๋ํ๊ต๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[์์ฌํ์๋ ผ๋ฌธ] Optimization and performance evaluation of the median-modified Wiener filter algorithm in breast 2D x-ray imaging.
[SCIE paper first author] Yunhee Mo, Seong-Hyeon Kang, Youngjin Lee, Optimization and Performance Evaluation of the Median Modified Wiener Filter Algorithm in Breast Electromagnetic X-ray Image, Journal of Magnetics, 2023.
[ํํ๋ฐํ์์] ํ์ ๋ฐํ ์ฅ๋ ค์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ๋์งํธ์๋ฃ์์ํํ ์ธ์ , 2021. 11. 06. (๋ฐํ์ ๋ชฉ: Optimization of the median modified Wiener filter algorithm for digital mammography: A simulation study)
๋ฌธ์ฅ์ (ํ์ฌ ๊ณผ์ , 21ํ๋ฒ)
็พ ๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ๋ถ 4ํ๋ ์ฌํ ์ค
Research achievementsย
[KCI paper first author] Jangwon Moon, Seong-Hyeon Kang, Hajin Kim, Youngjin Lee, Low-Dose Abdominal CT Image Noise Reduction Using Residual-Based Median Adaptive Gaussian Filtering Algorithms: Performance Evaluation and Optimization, Journal of Radiological Science and Technology, 2025.
[๊ฒฝ์ง๋ํ์์] ์ฅ๋ ค์, ํ๊ตญ๋ฐฉ์ฌ์ ์งํฅํํ ์ฃผ๊ด ์ 3ํ ๋ฐฉ์ฌ์ ๊ธฐ์ ํ์ฉ ์ฐฝ์์ตํฉ ์์ด๋์ด ๊ฒฝ์ง๋ํ, 2025. 08. 26.
[ํํ๋ฐํ์์] ์ฐ์ ํฌ์คํฐ์, ๋ํ๋ฐฉ์ฌ์ ๊ณผํํ ํ์ ๋ํ, 2025. 05. 10. (๋ฐํ์ ๋ชฉ: Optimization of median-Gaussian filters for X-ray-based medical imaging: a simulation study)
[๊ต๋ด์์] ๊ฐ์ฒ์ธ์ฌ์ ์์ (KCI ๋ ผ๋ฌธ ์ถํ ๊ณต์ ), 2025.
๋ฐ์ฃผํธ (ํ์ฌ ์กธ์ , 19ํ๋ฒ)
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2025๋ )
็พ ๊ณ ๋ ค๋ํ๊ต ์์ฐ๋ณ์ ํต์ํ๊ณผ ๊ทผ๋ฌด
ๅ ์์ธ์ฑ๋ชจ๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[SCIE paper co-author] Hajin Kim, Juho Park, Jina Shim, Youngjin Lee, Application and Optimization of a Fast Non-Local Means Noise Reduction Algorithm in Pediatric Abdominal Virtual Monoenergetic Images, Electronics, 2024.
[ํํ๋ฐํ์์] ํฌ์คํฐ ๋ฐํ ์ฅ๋ ค์, ๋ํ์์์ํ๊ธฐ์ ํ ์ถ๊ณํ์ ๋ํ, 2023. 03. 04. (๋ฐํ์ ๋ชฉ: ๋ค์ํ Speckle ์ก์ ๊ฐ๋ ๊ธฐ๋ฐ ์๋ฎฌ๋ ์ด์ ๋ ๊ฒฝ๋๋งฅ ์ด์ํ ์์์์์ Frost ํํฐ ์ ์ฉ)
์ด๋ํ (ํ์ฌ ์กธ์ , 17ํ๋ฒ)
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2023๋ )
็พ ์ํ์ฑ๋ชจ๋ณ์ ํต์ํ๊ณผ ๊ทผ๋ฌด
ๅ ๊ฐ์ฒ๋ํ๊ต ๊ธธ๋ณ์ ํต์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[SCIE paper first author] Dohwa Lee, Chang-Soo Yun, Seong-Hyeon Kang, Minji Park, Youngjin Lee, Performance evaluation of 3D median modified Wiener filter in brain T1-weighted magnetic resonance imaging, Nuclear Instruments and Methods in Physics Research A, 2023.
[SCIE paper co-author] Haneul Kim, Jaehong Jung, Hyunseo Jung, Jibeom Jeong, Dohwa Lee, Hyun-Woo Jeong, Youngjin Lee, Comparison of Jaw Mode and Field Width for Left-Breast Cancer Using TomoDirect Three-Dimensional Conformal Radiation Therapy: A Phantom Study, Healthcare, 2022.
[SCIE paper co-author] Jung-Kyun Park, Seong-Hyeon Kang, Minji Park, Dohwa Lee, Kyuseok Kim, Youngjin Lee, Noise level and similarity evaluations of non-local means algorithm in chest digital tomosynthesis X-ray imaging system: An experimental study, Nuclear Instruments and Methods in Physics Research A, 2022.
[KCI paper first author] Dohwa Lee, Minji Park, Seong-Hyeon Kang, Youngjin Lee, Analysis of Signal and Noise Characteristics of Brain T2-Weighted Image with Gradient-Echo Pulse Sequence by Changing Echo Time Based on MRiLab Simulation: Pilot Study, Journal of Korean Society of MR Technologyy, 2021.
[ํํ๋ฐํ์์] ์ต์ฐ์ ๊ตฌ์ฐ์, ๋ํ๋์งํธ์๋ฃ์์ํํ ์ถ๊ณํ์ ๋ํ, 2022. 04. 16. (๋ฐํ์ ๋ชฉ: ์ด๊ณ ํด์๋ ์ ์ฐํ๋จ์ธต์ดฌ์ ์์ ํ๋์ ์ํ convolutional neural network ๊ธฐ๋ฐ very deep super-resolution (VDSR) ์๊ณ ๋ฆฌ์ฆ ์ ์ฉ์ฑ ํ๊ฐ)
[ํํ๋ฐํ์์] ์ฐ์ ๊ตฌ์ฐ์, ๋ํ๋์งํธ์๋ฃ์์ํํ ์ถ๊ณํ์ ๋ํ, 2021. 05. 22. (๋ฐํ์ ๋ชฉ: ํ๋ถ CT ์์์ ํด์๋ ๊ฐ์ ์ ์ํ U-net ๊ธฐ๋ฐ ๋ฅ๋ฌ๋ ์๊ณ ๋ฆฌ์ฆ์ ์ ์ฉ์ฑ ํ๊ฐ)
[๊ต๋ด์์] ์๋์ค๋ฌ์ด ๊ฐ์ฒ์ธ์ ์์ (SCIE ๋ ผ๋ฌธ ์ถํ ๊ณต์ ), 2022.
[๊ต๋ด์์] ๊ฐ์ฒ์ธ์ฌ์ ์์ (KCI ๋ ผ๋ฌธ ์ถํ ๊ณต์ ), 2022.
๊น์ํ (ํ์ฌ ์กธ์ , 15ํ๋ฒ)
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2022๋ )
์นดํจ๋ฆญ๋ํ๊ต ์๊ณผ๋ํ ์๊ณตํ๊ต์ค ๋ฐ์ฌ๊ณผ์
Research achievementsย
[SCIE paper first author] Bae-Guen Kim, Seong-Hyeon Kang, Chan Rok Park, Hyun-Woo Jeong, Youngjin Lee, Noise Level and Similarity Analysis for Computed Tomographic Thoracic Image with Fast Non-Local Means Denoising Algorithm, Applied Sciences, 2020.
[ํํ๋ฐํ์์] ํฌ์คํฐ ์ฅ๋ ค์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ๋์งํธ์๋ฃ์์ํํ ์ธ์ , 2020. 10. 31. (๋ฐํ์ ๋ชฉ: A study on the application of fast non-local means (FNLM) denoising algorithm to Chest Image Using FASH phantom)
[๊ต๋ด ์์] ์๋์ค๋ฌ์ด ๊ฐ์ฒ์ธ์ ์์ (SCIE ๋ ผ๋ฌธ ์ถํ ๊ณต์ ), 2020.
๋ฐ์์ง (ํ์ฌ ์กธ์ , 17ํ๋ฒ)
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2021๋ )
๊ฒฝ๋ถ๋ํ๊ต๋ณ์ ์์์ํ๊ณผ ๊ทผ๋ฌด
Research achievementsย
[Korean paper first author] Sujin Park, Youngjin Lee, Point source image acquirement and performance evaluation with respect to distance based on E-cam ฮณ-camera: Monte Carlo simulation study, Korean Journal of Digital Imaging in Medicine, 2020.
[ํํ๋ฐํ์์] ์ต์ฐ์ ํฌ์คํฐ ๋ฐํ์, ๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ๋ํ๋์งํธ์๋ฃ์์ํํ ์ธ์ , 2020. 10. 31. (๋ฐํ์ ๋ชฉ: Feasibility of median filter for noise reduction in T1-weighted MR image: A simulation study)
[๊ต๋ด ์์] ๊ฐ์ฒ์ธ์ฌ์ ์์ (๋ํ๋ฐฉ์ฌ์ ์ฌํ์ ๋ํ ์ต์ฐ์ ํฌ์คํฐ ๋ฐํ์ ์์ ๊ณต์ ), 2020.
์ต๋ํ (ํ์ฌ ์กธ์ , 15ํ๋ฒ)
์ฐ์ธ๋ํ๊ต ์๊ณผ๋ํ ๋ฐ์ฌ ์กธ์ (2025๋ )
๊ฐ์ฒ๋ํ๊ต ๋ฐฉ์ฌ์ ํ๊ณผ ํ์ฌ ์กธ์ (2021๋ )
์ฌ๋ผ์ด์ค๋ง์ธ๋ ๋ํ
Research achievementsย
[SCIE paper first author] Donghyeok Choi, Seong-Hyeon Kang, Chan Rok Park, Youngjin Lee, Median modified Wiener filter noise reduction algorithm for T2-weighted brain images with magnetic resonance imaging, Journal of Magnetics, 2021.
[KCI paper first author] Donghyeok Choi, Jinhong Kim, Jongho Choi, Seong-Hyeon Kang, Youngjin Lee, Image Optimization of Fast Non Local Means Noise Reduction Algorithm using Various Filtering Factors with Human Anthropomorphic Phantom : a Simulation Study, Journal of the Korean Society of Radiology, 2019.
[ํํ๋ฐํ์์] ์ฐ์ ๋ ผ๋ฌธ์, ๋ํ๋ฐฉ์ฌ์ ์ฌํํ ๋ํ์์์ํ๊ธฐ์ ํํ ์ถ๊ณํ์ ๋ํ, 2019. 03. 02. (๋ฐํ์ ๋ชฉ: ๊ณ ํจ์จ Fast non-local means ๋ ธ์ด์ฆ ์ ๊ฑฐ ์๊ณ ๋ฆฌ์ฆ์ filtering factor ๋ณํ์ ๋ฐ๋ฅธ ๋ณต๋ถ X-์ ์์ ํน์ฑ ํ๊ฐ: ์๋ฎฌ๋ ์ด์ ์ฐ๊ตฌ)
[๊ต๋ด ์์] ๊ฐ์ฒ์ธ์ฌ์ ์์ (์์๋ ฅ ๋ฐฉ์ฌ์ ํ๋ฆฌ์ ํ ์ด์ ๊ฒฝ์ง๋ํ ์ต์ฐ์์ ๊ณต์ ), 2020.
[๊ต๋ด ์์] ์๋์ค๋ฌ์ด ๊ฐ์ฒ์ธ์ ์์ (SCIE ๋ ผ๋ฌธ ์์ฑ ๊ณต์ ), 2020.