Jooho Lee (이주호)
Department of AI, Yonsei University
Seoul, Republic of Korea
jooholee [at] yonsei.ac.kr
I am a PhD student at Yonsei University, where I am advised by Prof. Jongduk Baek. During my studies, I have also worked as a visiting researcher at Stanford University with Prof. Adam Wang. My research focuses on advancing imaging techniques across data acquisition to image reconstruction, enhancement, and assessment. In particular, I aim to develop practical AI solutions to address inverse problems in biomedical imaging, with a primary emphasis on X-ray computed tomography.
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research interests: physics-informed machine learning, biomedical and computational imaging.
[05/2025] One paper (abstract) accepted to AAPM 2025 as oral presentation.
[04/2025] One paper accepted to Medical Physics.
[11/2024] One paper accepted to SPIE Medical Imaging 2025.
[09/2024] I am excited to join the Wang Group at Stanford University as a visiting PhD student!
[04/2024] One paper accepted to Physics in Medicine and Biology.
[11/2023] One paper accepted to SPIE Medical Imaging 2024 as oral presentation.
Education
Yonsei University
Ph.D. Student in Artificial Intelligence (2023-)
Yonsei University
B.S. in Integrated Technology (2022)
High Honors
Emulating human perception of low-dose CT image quality via deep generative models
Jooho Lee, Jongduk Baek, Adam S. Wang
AAPM, 2025 (Oral presentation)
X-ray CT metal artifact reduction using neural attenuation field prior
Jooho Lee, Seongjun Kim, Junhyun Ahn, Adam S. Wang, Jongduk Baek
Medical Physics, 2025
Regularizing neural fields for 3D computed tomographic imaging from sparse projections
Jooho Lee, Byeongjoon Kim, Jongduk Baek
SPIE Medical Imaging, 2025
Iterative reconstruction for limited-angle CT using implicit neural representation
Jooho Lee, Jongduk Baek
Physics in Medicine and Biology, 2024
Neural attenuation fields for metal artifact reduction in dental CT
Jooho Lee, Junhyun Ahn, Jongduk Baek
SPIE Medical Imaging, 2024 (Oral presentation)
Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images
Seongjun Kim, Byeongjoon Kim, Jooho Lee, Jongduk Baek
Medical Physics, 2023
Limited-angle CT reconstruction using implicit neural representation with learned initialization
Jooho Lee, Jongduk Baek
Fully3D, 2023
Selected Honors and Awards
Fully3D Trainee Award, 2023
Yonsei Graduate School of AI Fellowship, 2023
Kwanjeong Education Foundation Scholarship, 2022
High Honors in Graduation (ranked 1st in class), Yonsei University, 2022
Academic Honors in Engineering, Yonsei University, 2019 - 2022
Young Engineers Honor Society Member, The National Academy of Engineering of Korea, 2020
Undergraduate ICT Fellowship (Full-Ride), Korea Ministry of Science and ICT, 2019
Minister Award, Korea Ministry of Education, Science and Technology, 2011
Teaching
Teaching Assistant
AAI5008 The Fourier Transform and Its Applications, Yonsei University (Spring 2024)
AAI3210 Signal Processing for Artificial Intelligence, Yonsei University (Fall 2023)
CSI2101 Discrete Mathematics, Yonsei University (Spring 2023)
IIT2102 Advanced Mathematics II, Yonsei University (Spring 2022)
Work Experience
Stanford University, CA, United States
Visiting Student Researcher (Sep 2024 - Feb 2025)
- Worked on image quality assessment and enhancement for X-ray CT imaging
- Advisor: Prof. Adam Wang (Department of Radiology)
Yonsei University, Seoul, Korea
Research Intern (Sep 2022 - Feb 2023)
- Worked on AI-based 3D medical image reconstruction
- Advisor: Prof. Jongduk Baek (Department of Artificial Intelligence)
Yonsei University International Campus, Incheon, Korea
Residential Assistant (Mar 2020 - Jul 2022)
- Served as a senior vice RA at Evergreen House (Aug 2021 - Jul 2022)
- Directed and managed various student activities including the <Evergreen AI> lecture series
Other Activities
Alumni Association, School of Integrated Technology at Yonsei University
- Serving as an executive member (Apr 2022 - Current)
Student Council, School of Integrated Technology at Yonsei University
- Served as an executive chairman (Dec 2019 - Nov 2020) and member (Mar 2019 - Nov 2019)
Reviewer: IEEE Transactions on Medical Imaging, Medical Physics
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