Lianrui

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

Me giving a talk at SPIE Medical Imaging 2019 at San Diego, 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 second 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.
• Automatic quality control for Magnetic Resonance (MR) image segmentation.
• Image quality assessment.
• Machine 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

• L. Zuo, B. E. Dewey, A. Carass, Y. He, M. Shao, J.C. Reinhold, & J. L. Prince (2020, October). "Synthesizing Realistic Brain MR Images with Noise Control". In International Workshop on Simulation and Synthesis in Medical Imaging (pp. 21-31). Springer, Cham.
• Y. He, A. Carass, L. Zuo, B. E. Dewey, & J. L. Prince (2020). "Self domain adapted network " arXiv preprint arXiv:2007.03162.
• Y. Liu, L. Zuo, A. Carass, Y. He, A. Filippatou, S. D. Solomon, and J. L. Prince. "Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography". In Medical Imaging 2020: Image Processing (Vol. 11313, p. 113130Y). International Society for Optics and Photonics.
• L. Zuo, S. Han, A. Carass, S. H. Ying, C. U. Onyike, and J. L. Prince. Automatic Quality Control Using Hierarchical Shape Analysis for Cerebellum Parcellation. In Medical Imaging 2019: Image Processing. International Society for Optics and Photonics.
• L. Zuo, A. Carass, S. Han, and J. L. Prince. Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation. In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 10578, p. 105780D). International Society for Optics and Photonics.

Thesis

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

Awards

• 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.

Teaching

• Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. Sep 2018 – Dec 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. Jan 2018 – Apr 2018
• Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. Sep 2017 – Dec 2017