Sung Lab

The Sung Lab, directed by Kyung Sung, is part of Magnetic Resonance Research Labs (MRRL) in the Department of Radiological Sciences within the School of Medicine at UCLA. Our mission is to advance patient healthcare through the development and application of artificial intelligence and quantitative imaging technologies in order to improve diagnostic contrast integrated with multi-scale information. Our research focuses on novel artificial intelligence and medical image analysis technologies and has successfully developed and deployed novel deep-learning algorithms and quantitative MRI techniques for early diagnosis, treatment guidance, and therapeutic response assessment. Our current research projects include:

Clinical Applications

  • Quantitative Multi-parametric MRI for Prostate Cancer 
  • Multi-Parametric Human Placenta Imaging 
  • Liver Perfusion MRI
  • Quantitative Breast Perfusion MRI
  • Pituitary Microadenoma Imaging with a Deployable Microcoil

Technical Developments

  • Machine Learning / Deep Learning Algorithms 
  • Advanced Image Reconstruction
  • Quantitative Image Analysis / Modeling
  • Rapid / Real-Time Imaging

Media Coverage / Awards / Invited Lectures


Project Scientists / Postdoctoral Scholars / Visiting Scholars:

Kai Zhao
Eunsun Oh

Eunsun Oh, M.D.

Ph.D. / Master's Students:

Ran Yan

Ran Yan, M.S.
Alex Hung

Alex Hung, M.S.
(Computer Science)
Sohaib Naim

Sohaib Naim, M.S.
(Physics & Biology in Medicine)
Kaifeng Pang

Kaifeng Pang
(Electrical Engineering)
Mimi Li

Xinyi (Mimi) Li
(Physics & Biology in Medicine)
Raymi Ramirez

Raymi Ramirez
(Physics & Biology in Medicine)
Katarina Chiam

Katarina Chiam

Clinical Fellows / Medical Students / Undergraduate Students:

Daniel H. Kim

Daniel H. Kim, M.D. Candidate
Vishunu Murphy

Vishnu Murthy, M.D. Candidate
Brian Chau

Brian Chau
Parsa Hajipour

Parsa Hajipour
(Computer Science)
Hetvi Trivedi

Hetvi Trivedi
(Computational and Systems Biology and Bioengineering)
Khang Doan

Khang Doan

Administrative Staffs:

Study Coordinators:

Nashla Barroso

Nashla Barroso

Previous Members:

     Novena Rangwala, Ph.D. – Postdoctoral Fellow, 2013 —  2016 (Currently: GE Healthcare)
     Dapeng Liu, Ph.D. – Postdoctoral Fellow, 2016 —  2017 (Currently: Research Associate, Dept. of Radiology, Johns Hopkins University)
     Yeejin Lee, Ph.D. – Postdoctoral Fellow, 2017 —  2018 (Currently: Associate Professor, Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
     Thomas Martin, Ph.D. – Ph.D. Student, 2012 —  2018 (Currently: Assistant Professor, Dept. of Radiation Oncology, University of Utah and a Medical Physicist at Huntsman Cancer Hospital)
     Xinran Zhong, Ph.D. - Ph.D. Student, 2014 —  2019 (Currently: Assistant Professor, Dept. of Radiation Oncology, Univ. of Texas Southwestern)
     Ruiming Cao, M.S. – Masters Student, 2017 —  2019 (Currently: Ph.D. Student, Dept. of Bioengineering, UC Berkeley)
     Yongkai Liu, Ph.D. – Ph.D. Student, 2017—  2022 (Currently: Postdoctoral Scholar, Dept. of Radiology, Stanford)
     Fatemeh Zabihollahy, Ph.D. – Postdoctoral Fellow / Project Scientist, 2021—  2023 (Currently: Applied Deep Learning Scientist, University of Toronto)
     Jiahao Lin, Ph.D. – Ph.D. Student, 2016—  2023 (Currently: Software Engineer, Meta Platforms, Inc.)
     Haoxin Zheng, Ph.D. – Ph.D. Student, 2019—  2024 (Currently: Applied Scientist, Amazon)


Previous Visitors:

     Duanduan (Sally) Liu – Visiting Graduate Student, Feb 2013 — July 2013
     Eric Cho – Visiting Student, May 2013 — July 2013
     ByungJoo (Joshua) Park, Ph.D. – Visiting Scholar, Feb 2013 — Feb 2014
     Wenrui Yang – Visiting Undergraduate Student, Sep 2013 — Mar 2014
     Marina Miranda – Summer Research Student, Brazil Scientific Mobility Program (BSMP), May 2016 — Aug 2016
     Tianle Cao – Summer Research Student, Tsinghua University, June 2017 — Sep 2017
     Kang-Sun Choi, Ph.D. – Visiting Scholar, Jan 2017 — Jan 2018
     Wakana Murakami,  M.D. – Visiting Scholar, Sep 2020 — Nov 2022


     We are seeking an excellent postdoctoral fellow/graduate student with a strong background in signal and image processing, with an interest in developing novel MRI methods. Please see here for more details.



     Published Manuscripts @Pubmed or @Google Scholar


Research Funding:

  • 2020-2025 NIH: R01 CA248506 (PI: Sung/Wu): Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
  • 2022-2024 NIH: R01 CA248506-S1 (PI: Sung/Wu): A Structured Multi-scale Dataset with Prostate MRI for AI/ML Research
  • 2023-2028 NIH: R01 CA272702 (PI: Sung/Kim): Racially-associated MRI Analysis and Modeling for Predicting Aggressive Prostate Cancer
  • 2024-2026 NIH: R01 CA272702-W1 (PI: Sung/Kim): Diversity Supplements for Imaging Research in Prostate Cancer Health Disparities
  • 2024-2025 Siemens Healthineers (PI: Sung): A Through-plane Super-Resolution Framework in MRI: Enhancing Image Quality and Diagnostic Efficiency
  • 2023-2028 NIH: U01 CA230705 (PI: Zhou): The UCLA Center in Early Detection of Liver Cancer
  • 2019-2024 NIH: R01 HD10015 (PI: Devaskar): Electrochemical Liquid Biopsy Assessing Placenta Health
  • 2020-2024 NIH: R01 DK124417 (PI: Wu/Calkins): Quantifying Body Composition and Liver Disease in Children Using Free-Breathing MRI and MRE
  • 2020-2022 Tate Fund (PI: Lee-Felker/Sung): Combined Conventional and Ultrafast MRI-Based Integrated Radiomic Models for Predicting Response to Neoadjuvant Chemotherapy in Women with Triple Negative Breast Cancer