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Junghoon Lee, M.S., Ph.D.
Associate Professor of Radiation Oncology and Molecular Radiation Sciences
Research Interests: Medical image processing and analysis
Dr. Junghoon Lee is an associate professor of Radiation Oncology and Molecular Radiation Sciences at the Johns Hopkins University School of Medicine.
Dr. Lee received his B.S. in electrical engineering and his M.S. in biomedical engineering in 1997 and 1999, respectively, from Seoul National University in Seoul, Republic of Korea. He earned his Ph.D. in electrical and computer engineering from Purdue University in West Lafayette, Indiana in 2006.
In 2007, he joined the Department of Electrical and Computer Engineering and the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology at Johns Hopkins as a postdoctoral fellow, and continued to work as an associate research scientist from 2009 to 2010, and an assistant research professor from 2010 to 2013.
Since 2012, he has been leading the Medical Image Computing and Analysis (MICA) laboratory in the Department Radiation Oncology and Molecular Radiation Sciences. His current research interests are in image processing and analysis, and computer vision with application to medical imaging problems.
- Associate Professor of Radiation Oncology and Molecular Radiation Sciences
Departments / Divisions
- B.S., Seoul National University (Korea) (1997)
- M.S., Seoul National University (Korea) (1999)
- Ph.D., Purdue University (Indiana) (2006)
Research & Publications
The scope of Dr. Lee’s research includes: medical image processing and analysis, inverse problems, computer vision, machine learning, and image-guided surgery and radiation therapy.
The Medical Image Computing and Analysis (MICA) lab is a collaborative research lab led by professor Junghoon Lee based in the Department of Radiation Oncology and Molecular Radiation Sciences at the Johns Hopkins University. Research focuses on signal and image processing with applications to medical imaging problems. Specific areas of research interest include computed tomography, magnetic resonance imaging, novel image reconstruction, multi-modal image registration, segmentation, computer vision, machine learning, and image-guided interventions and radiotherapy.
Lab Website: Medical Image Computing and Analysis (MICA)
Technology Expertise KeywordsMedical imaging, image processing, computer vision, machine learning, image-guided surgery and radiotherapy
J. Lee, R. F. Hobbs, M. Zahurak, S. K. Ng, Z. Zhang, E. C. Burdette, T. L. DeWeese, D. Y. Song, Phase II study of intraoperative dosimetry for prostate brachytherapy using Registered Ultrasound and Fluoroscopy (iRUF), Brachytherapy, Vol. 17, Issue 6, pp. 858-865, 2018
S. Park, R. Farah, S. M Shea, E. Tryggestad, R. Hales, J. Lee, Simultaneous tumor and surrogate motion tracking with dynamic MRI for radiation therapy planning, Physics in Medicine and Biology, Vol. 63, pp. 025015, 2018
J. Lee, O. Y. Mian, Y. Le, H. J. Bae, E. C. Burdette, T. L. DeWeese, J. L. Prince, D. Y. Song, Intraoperative Registered Ultrasound and Fluoroscopy (iRUF) for dose calculation during prostate brachytherapy: improved accuracy compared to standard ultrasound-based dosimetry, Radiotherapy and Oncology, Vol. 124, Issue 1, pp. 61-67, 2017
S. Park, W. Plishker, H. Quon, J. Wong, R. Shekhar, J. Lee, Deformable registration of CT and cone-beam CT with local intensity matching, Physics in Medicine and Biology, Vol. 62, Num. 3, pp. 927-947, 2017
S. Park, T. McNutt, W. Plishker, G. Zaki, H. Quon, J. Wong, R. Shekhar, J. Lee, Technical Note: SCUDA: A software platform for cumulative dose assessment, Medical Physics, Vol. 43, No. 10, pp. 5339-5346, 2016
Activities & Honors
- Institute of Electrical and Electronics Engineers (IEEE)
- American Association of Physicists in Medicine (AAPM)
- Korean Association of Medical Physicists in North America (KAMPiNA)