Lianrui

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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

Publications

Google Scholar

Awards

  • Best Paper Award. (First author) Disentangling A Single MR Modality. The 2nd Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2022) in conjunction with MICCAI 2022.
  • Best Poster Award. (First author) Information-based Disentangled Representation Learning for Unsupervised MR Harmonization. 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