이옥균
Lee, OkkyunDepartment of Robotics and Mechatronics Engineering
학력
- 2009 ~ 2014한국과학기술원 박사
- 2007 ~ 2009한국과학기술원 석사
- 1999 ~ 2007한양대학교 학사
경력
- 2016 ~ 2018Johns Hopkins University / Research Associate
- 2015 ~ 2016Johns Hopkins University / Research Fellow
- 2014 ~ 2015KAIST 바이오및뇌공학과 / 위촉연구원
수상실적
- 2012 제18회 휴먼테크 논문대상 장려상 / 삼성전자
- 2011 제17회 휴먼테크 논문대상 장려상 / 삼성전자
연구실 소개
- Next-generation Medical Imaging Lab
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We are interested in the development of medical image reconstruction algorithms and their applications, and specific topics are as follows but not limited to:- Photon counting detector-based computed tomography- X-ray material decomposition- Diffuse optical tomography- Three-dimensional functional brain imaging using NIR light- NIR light-based brain computer interactions- Compressed sensing
Research Interests
Related Keyword
- "Noise-matched total-likelihood-based bilateral filter: Experimental feasibility in a benchtop photon-counting CBCT system", Lee, Okkyun. (2025-02). Noise-matched total-likelihood-based bilateral filter: Experimental feasibility in a benchtop photon-counting CBCT system. Physica Medica, 130. doi: 10.1016/j.ejmp.2025.104901
- "UNet-based multi-organ segmentation in photon counting CT using virtual monoenergetic images", Baek, Sumin. (2025-01). UNet-based multi-organ segmentation in photon counting CT using virtual monoenergetic images. Medical Physics, 52(1), 481–488. doi: 10.1002/mp.17440
- "Likelihood-based bilateral filters for pre-estimated basis sinograms using photon-counting CT", Lee, Okkyun. (2023-05). Likelihood-based bilateral filters for pre-estimated basis sinograms using photon-counting CT. Medical Physics, 50(5), 2733–2758. doi: 10.1002/mp.16251
- "Technical Note: The nearest neighborhood-based approach for estimating basis line-integrals using photon-counting detector", Nam, Jeonghyeon. (2021-10). Technical Note: The nearest neighborhood-based approach for estimating basis line-integrals using photon-counting detector. Medical Physics, 48(10), 6531–6535. doi: 10.1002/mp.14920
- "A data-driven maximum likelihood classification for nanoparticle agent identification in photon-counting CT", Baek, Sumin. (2021-07). A data-driven maximum likelihood classification for nanoparticle agent identification in photon-counting CT. doi: 10.1088/1361-6560/ac0cc1
- "정합필터 기반 신호처리를 활용한 동작 상상 기반 fNIRS 신호의 사용자 상태 구분", 이승준. (2023-11-24). 정합필터 기반 신호처리를 활용한 동작 상상 기반 fNIRS 신호의 사용자 상태 구분. 대한전자공학회 2023년도 추계학술대회, 840–841.
- "Deep Learning-based Prior toward Normalized Metal Artifact Reduction in Computed Tomography", Nam, Jeonghyeon. (2022-06-15). Deep Learning-based Prior toward Normalized Metal Artifact Reduction in Computed Tomography. 7th International Conference on Image Formation in X-Ray Computed Tomography. doi: 10.1117/12.2646436
- "Iodine-enhanced Liver Vessel Segmentation in Photon Counting Detector-based Computed Tomography using Deep Learning", Baek, Sumin. (2022-06-15). Iodine-enhanced Liver Vessel Segmentation in Photon Counting Detector-based Computed Tomography using Deep Learning. 7th International Conference on Image Formation in X-Ray Computed Tomography. doi: 10.1117/12.2646541
- "Likelihood-based bilateral filtration in material decomposition for photon counting CT", Lee, Okkyun. (2022-06-15). Likelihood-based bilateral filtration in material decomposition for photon counting CT. 7th International Conference on Image Formation in X-Ray Computed Tomography. doi: 10.1117/12.2647049
연구분야
미래유망 신기술(6T)