Soo-Jin Lee

Research Interests

My broad research interests lie in the fields of computational imaging, image processing, signal processing, and computer vision. Specifically, I am interested in inverse problems across various biomedical imaging techniques, including positron emission tomography (PET), single-photon emission computed tomography (SPECT), Compton imaging, X-ray CT, and magnetic resonance imaging (MRI). My current research focuses on applying machine learning techniques to tomographic image reconstruction.

Education

• Ph.D., Electrical & Computer Engineering, Stony Brook University, NY, USA, 1995

• M.S., Electronic Engineering, Sogang University, Seoul, S. Korea, 1986

• B.S., Electronic Engineering (minor in Computer Science), Sogang University, Seoul, S. Korea, 1984

Biographical Information

• Short Biography

• ORCID Record

• Academic Genealogy (provided by Mathematics Genealogy Project)

Recent Publications

(Click here to view the list of publications.)

• X. Ren, S.J. Lee, "Example-Based Super-Resolution Image Reconstruction for Positron Emission Tomography Using Sparse Coding," IEEE Access, 12, pp.182590-182602, Dec. 2024.

• W. Zhu, S.J. Lee, "Similarity-Driven Fine-Tuning Methods for Regularization Parameter Optimization in PET Image Reconstruction," Sensors, 23(13), pp. 5783:1-19, June 2023.

• X. Ren, J.E. Jung, W. Zhu, S.J. Lee, "Penalilzed-Likelihood PET Image Reconstruction Using Similarity-Driven Median Regularization," Tomography, 8(1), pp. 158-174, Feb. 2022.

• X. Ren, S.J. Lee, "Super-resolution Image Reconstruction from Projections Using Non-local and Local Regularizations," Journal of Imaging Science and Technology, 65(1), pp. 010502:1-11, Jan. 2021.

• J.E. Jung, S.J. Lee, "Penalized-Likelihood Image Reconstruction for Transmission Computed Tomography Using Adaptive Median Regularization," IEEE Access, 8, pp. 189490-189502, Oct. 2020.