Lianrui

Me giving a talk at SPIE Medical Imaging 2018 at Houston, USA

Lianrui Zuo

Image Analysis and Communications Lab, The Johns Hopkins University

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health

Email: lr_zuo@jhu.edu

Biography

I am currently a fourth year PhD student in the Department of Electrical and Computer Engineering at the Johns Hopkins University. Staring from January 2017, I work in the Image Analysis and Communications Lab (IACL) as a research assistant advised by Dr. Jerry Prince. Starting from September 2019, I am co-affiliated with the National Institute on Aging at National Institutes of Health working as a pre-doctoral research fellow.

Research Interests

• Multi-contrast MRI synthesis and harmonization.
• Machine learning and deep learning

Education

• M.S.E. in Electrical and Computer Engineering, The Johns Hopkins University, USA. Aug 2016 – May 2018
• B.S. in Instrument Science and Technology, Jilin University, China. Sep 2012 – May 2016

Publications

Google Scholar

Thesis

• Lianrui Zuo. Quality Assurance Using Outlier Detections For Cerebellar Lobule Segmentation. Diss. Johns Hopkins University, 2018.

Awards

• Best Poster Award. The 27th International Conference on Information Processing in Medical Imaging (IPMI 2021).
• Scientific Director Award. The 25th Annual National Institute on Aging Intramural Research Program Scientific Retreat, 2020.
• Pre-doctoral Intramural Research Training Award, National Institute of Health, 2019–2022.

Teaching and Mentoring

• Research Mentor, National Science Foundation: Research Experiences for Undergraduates. Summer 2021
• Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. Fall 2017, Fall 2018 (Named as finalist for Whiting School of Engineering’s Excellence in Teaching Awards).
• Teaching Assistant, EN 520.433/520.623 Medical Image Analysis, The Johns Hopkins University. Spring 2018, Spring 2021