Kyung Sung, PhD
Professor of Radiological Sciences, Bioengineering, & Physics, Biology in Medicine IDP
About
Sung completed his B.S. in Electrical Engineering from Korea University before starting his Ph.D. studies at the University of Southern California in Electrical Engineering. He finished his postdoctoral training at Stanford in the Departments of Radiology and joined the UCLA Department of Radiological Sciences in 2012 as an Assistant Professor.
His research interest is to develop fast and reliable MRI methods that can provide improved diagnostic contrast and useful information. In particular, his group is currently focused on developing advanced deep learning algorithms and quantitative MRI techniques for early diagnosis, treatment guidance, and therapeutic response assessment for oncologic and cardiac applications. They have developed several novel image reconstruction algorithms and image analysis tools, which improve the spatial and temporal resolution of MRI and easily facilitate quantitative MRI analysis. Such developments can offer more robust and reproducible measures of biologic markers associated with human cancers and ischemic placental disease.
Education and Degree(s)
- B.S. in Electrical Engineering
- Korea University
- Ph.D. in Electrical Engineering
- University of Southern California (USC)
- Postdoctoral Training in Radiology
- Stanford University
Publications
- MRI Super-Resolution With Partial Diffusion Models. IEEE Trans Med Imaging. 2025 Mar; 44(3):1194-1205.Zhao K, Pang K, Hung ALY, Zheng H, Yan R, Sung K. PMID: 39418139; PMCID: PMC11913589.
- Multi-attention Mechanism for Enhanced Pseudo-3D Prostate Zonal Segmentation. J Imaging Inform Med. 2025 Feb 28.Krishnan C, Onuoha E, Hung A, Sung KH, Kim H. PMID: 40021566.
- Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 2024.Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos & Kyunghyun Sung . .
- A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging. Cancers (Basel). 2024 Aug 27; 16(17).Zhao K, Pang K, Hung AL, Zheng H, Yan R, Sung K. PMID: 39272841; PMCID: PMC11393971.
- Editorial for "T2*-Relaxometry MRI to Assess Third-Trimester Placental and Fetal Brain Oxygenation and Placental Characteristics in Healthy Fetuses and Fetuses with Congenital Heart Disease". J Magn Reson Imaging. 2025 Mar; 61(3):1256-1257.Ramirez RO, Sung K. PMID: 38997207.
- Investigating MRI-Associated Biological Aspects of Racial Disparities in Prostate Cancer for African American and White Men. J Magn Reson Imaging. 2025 Jan; 61(1):121-131.Zabihollahy F, Miao Q, Naim S, Sonni I, Vangala S, Kim H, Hsu W, Sisk A, Reiter R, Raman SS, Sung K. PMID: 38751322; PMCID: PMC11564416.