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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 state-of-the-art diagnostic imaging using magnetic resonance imaging (MRI). Our research focuses on developments of novel imaging methods that target specific clinical and research applications. Our current research projects include:

Clinical Applications

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

Technical Developments

  • Machine Learning / Deep Learning Algorithms 
  • Compressed Sensing MRI Algorithms
  • Quantitative Image Analysis / Modeling
  • Rapid / Real-Time Imaging

Media Coverage / Awards / Invited Lectures

Lab Members:

Faculty:
     Kyung Sung, Ph.D.

Ph.D. / Master's Students:
     Jiahao Lin, M.S.
     Alibek Danyalov, B.S.
     Yongkai Liu, M.S.
     Haoxin Zheng, M.S.
     Ran Yan, B.S.

Visitng Scholar:
   Wakana Murakami,  M.D. 

Medical Students / Clinical Fellows:
     Brian Lee, M.D.
     Arya R Alibadi, M.D. Candidate

Administrative Staffs:
     Heather Wilbur
     Stephanie Peterson

Study Coordinators:
     Victoria Rueda
     Tammy Floore
     Niloofar Sheshebor

 

Previous Members:
     Novena Rangwala, Ph.D. – Postdoctoral Fellow, 2013 —  2016 (Currently: GE Healthcare)
     Dapeng Liu, Ph.D. – Postdoctoral Fellow, 2016 —  2017 (Currently: Dept. of Radiology, Johns Hopkins University)
     Yeejin Lee, Ph.D. – Postdoctoral Fellow, 2017 —  2018 (Currently: Dept. of Electrical Engineering, Seoul National University of Science and Technology)
     Thomas Martin, Ph.D – Ph.D. Student, 2012 —  2018 (Currently: Dept. of Radiation Oncology, Univ. of Texas at San Antonio)
     Xinran Zhong, Ph.D. - Ph.D Student, 2014 —  2019 (Currently: Dept. of Radiation Oncology, Univ. of Texas Southwestern)
     Ruiming Cao, M.S. - Masters Student, 2017 —  2019 (Currently: Dept. of Bioengineering, UC Berkeley)
     Eun Bin (Eunice) Lee, M.S. - Masters Student, 2017 —  2019

 

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

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 detail.

 Publications: 

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
  • 2019-2020 Tanner Project Foundation (PI: Sung): Mining the Dark Data of Breast Imaging using Artificial Intelligence to Predict Data Patterns
  • 2015-2020 NIH: U01 HD087221 (PI: Devaskar/Janzen/Sung): Imaging Innovations for Placental Assessment in Response to Environmental Pollution
  • 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
  • 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