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 deep learning methods for 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
Recent Publications
(Click here to view the list of publications.)
J. Lee, S.J. Lee, "Using Diffusion Models for CNN-Based Smoothing Parameter Tuning in Regularized PET Reconstruction," Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2023.
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.