Sooyeon Ji, Ph. D.
Sooyeon Ji, Ph. D.
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Assistant Professor @ Hankuk University of Foreign Studies, Yongin, Republic of Korea
Research Interests
Research Interests
Biophysics-informed deep-learning
Computational biomedical imaging
Contact Information
[Google Scholar] [Download CV]
CV updated: 2023-11-03
Welcome to my webpage.
I am an assistant professor at Hankuk University of Foreign Studies, Yongin, Korea. My research centers on advancing biomedical imaging techniques, via conventional computational imaging and machine learning, to help with the diagnosis and treatment of neurodegenerative disorders. Currently I am interested in developing clinically-available in-vivo microstructural imaging by the aid of deep-learning.
Should you have any questions, please feel free to contact me!
Appointment
Appointment
2024 September – Current
Assistant Professor
Division of Computer Engineering, Hankuk University of Foreign Studies, Republic of Korea
2023 April – 2024 August
Post-Doctoral Researcher
Department of Electrical and Computer Engineering, Seoul National University, Republic of Korea
Education
Education
2018 March – 2023 February
M.S. and Ph.D., Electrical and Computer Engineering
Seoul National University, Seoul, Republic of Korea
Advisor: Prof. Jongho Lee
2013 March – 2017 August
B.S., Electrical and Computer Engineering
Seoul National University, Seoul, Republic of Korea
Summa Cum Laude Honors
Selected Publications
Selected Publications
Other publications can be found in my Google Scholar profile
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-Maps
Sooyeon Ji, Jinhee Jeong, Se-Hong Oh, Yoonho Nam, Seung Hong Choi, Hyeong-Geol Shin, Dongmyung Shin, Woojin Jung, Jongho Lee
IEEE Transactions on Medical Imaging (IF: 10.600, JCR top 3%), 2021
Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial
Sooyeon Ji, Eun-Jung Choi, Beomseok Sohn, Kyoungwon Baik, Na-Young Shin, WJon-Jin Moon, Seongbeom Park, Soohwa Song, Phil Hyu Lee, Dong Hoon Shin, Se-Hong Oh, E ung Yeop Kim, Jongho Lee
Neuroimage (IF: 5.700, JCR top 4%), 2022
Synthetic MRI: technologies and applications in neuroradiology
Sooyeon Ji†, Dongjin Yang†, Jongho Lee, Seung Hong Choi, Hyeonjin Kim, Koung Mi Kang
Journal of Magnetic Resonance Imaging, 2022
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR
Dongmyung Shin, Sooyeon Ji, Doohee Lee, Jieun Lee, Se-Hong Oh, Jongho Lee
IEEE Transactions on Medical Imaging (IF: 10.600, JCR top 3%), 2020
DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE
Hongjun An, Hyeong-Geol Shin, Sooyeon Ji, Woojin Jung, Se-Hong Oh, Dongmyung Shin, Juhyung Park, Jongho Lee
Neuroimage (IF: 5.700, JCR top 4%), 2021
Contrast-enhanced MRI T1 mapping for quantitative evaluation of putative dynamic glymphatic activity in the human brain in sleep-wake states
Sanghyup Lee†, Roh-Eul Yoo†, Seung Hong Choi , Se-Hong Oh, Sooyeon Ji, Jongho Lee, Ki Young Huh, Ji Ye Lee, Inpyeong Hwang, Koung Mi Kang, Tae Jin Yun, Ji-hoon Kim, Chul-Ho Sohn
Radiology (IF: 19.700, JCR top 1st), 2021
Experiences & Awards
Experiences & Awards
2023 Abstract Award, 1st place award QSM applications category from Electro Magnetic Tissue Property Study Group International Society for Magnetic Resonance in Medicine (ISMRM)
2023 Best Oral Presentation Award, 2nd place award from White Matter Study Group International Society for Magnetic Resonance in Medicine (ISMRM)
2023 Distinguished Dissertation Award from Seoul National University
2022 Participant of The Rising Stars Women in Engineering Workshop
2020 Magna Cum Laude Merit Award from annual meeting of Intermational Society for Magnetic Resonance in Medicine (ISMRM)
2019 Best Oral Presentation Award from annual meeting of International Congress on Magnetic Resonance Imaging (ICMRI)
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