Difference between revisions of "Lianrui"

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[[Image:SPIE2018_Lianrui.jpg|thumbnail|400px|Me giving a talk at SPIE Medical Imaging 2018 at Houston, USA]]
 
[[Image:SPIE2018_Lianrui.jpg|thumbnail|400px|Me giving a talk at SPIE Medical Imaging 2018 at Houston, USA]]
[[Image:Lianrui_SPIE2019.jpg|thumbnail|400px|Me giving a talk at SPIE Medical Imaging 2019 at San Diego, USA]]
 
  
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Lianrui Zuo</b></font> </div>
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Lianrui Zuo</b></font> </div>
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{{h2| Biography}}
 
{{h2| Biography}}
I am currently a third year PhD student in the Department of Electrical and Computer Engineering at the Johns Hopkins University. Staring from January 2017, I work in the [http://iacl.jhu.edu/index.php/Main_Page Image Analysis and Communications Lab] (IACL) as a research assistant advised by [http://iacl.jhu.edu/index.php/Prince Dr. Jerry Prince]. Starting from September 2019, I am co-affiliated with the [https://www.nia.nih.gov National Institute on Aging] at National Institutes of Health working as a pre-doctoral research fellow.
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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 [http://iacl.jhu.edu/index.php/Main_Page Image Analysis and Communications Lab] (IACL) as a research assistant advised by [http://iacl.jhu.edu/index.php/Prince Dr. Jerry Prince]. Starting from September 2019, I am co-affiliated with the [https://www.nia.nih.gov National Institute on Aging] at National Institutes of Health working as a pre-doctoral research fellow.
  
 
{{h2| Research Interests}}
 
{{h2| Research Interests}}
 
* Multi-contrast MRI synthesis and harmonization.  
 
* Multi-contrast MRI synthesis and harmonization.  
* Image quality assessment.
 
* Generative models.
 
 
* Machine learning and deep learning
 
* Machine learning and deep learning
  
 
{{h2|Education}}
 
{{h2|Education}}
 
* M.S.E. in Electrical and Computer Engineering, [https://www.jhu.edu The Johns Hopkins University], USA. ''Aug 2016 &ndash; May 2018''
 
* M.S.E. in Electrical and Computer Engineering, [https://www.jhu.edu The Johns Hopkins University], USA. ''Aug 2016 &ndash; May 2018''
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** Thesis: ''[https://jscholarship.library.jhu.edu/handle/1774.2/59275 Quality Assurance Using Outlier Detections For Cerebellar Lobule Segmentation]''. Diss. Johns Hopkins University, 2018.
 
* B.S. in Instrument Science and Technology, [https://www.jlu.edu.cn Jilin University], China. ''Sep 2012 &ndash; May 2016''
 
* B.S. in Instrument Science and Technology, [https://www.jlu.edu.cn Jilin University], China. ''Sep 2012 &ndash; May 2016''
  
 
{{h2|Publications}}
 
{{h2|Publications}}
* '''L. Zuo''', B. E. Dewey, A. Carass, Y. He, M. Shao, J.C. Reinhold, & J. L. Prince (2020, October). "[https://link.springer.com/chapter/10.1007/978-3-030-59520-3_3 Synthesizing Realistic Brain MR Images with Noise Control]". In International Workshop on Simulation and Synthesis in Medical Imaging (pp. 21-31). Springer, Cham.
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[https://scholar.google.com/citations?user=GQGYangAAAAJ&hl=en Google Scholar]
* B.E. Dewey, '''L. Zuo''', Carass, A., He, Y., Liu, Y., Mowry, E.M., Newsome, S., Oh, J., Calabresi, P.A. and Prince, J.L., 2020, October. "[https://link.springer.com/chapter/10.1007/978-3-030-59728-3_70 A Disentangled Latent Space for Cross-Site MRI Harmonization]". In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 720-729). Springer, Cham.
 
* Y. He, A. Carass, '''L. Zuo''', B. E. Dewey, & J. L. Prince (2020). "[https://arxiv.org/abs/2007.03162 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. "[https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11313/113130Y/Variational-intensity-cross-channel-encoder-for-unsupervised-vessel-segmentation-on/10.1117/12.2549967.short?SSO=1 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. ''[https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10949/109490J/Automatic-quality-control-using-hierarchical-shape-analysis-for-cerebellum-parcellation/10.1117/12.2512805.full?SSO=1 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. ''[https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10578/105780D/Automatic-outlier-detection-using-hidden-Markov-model-for-cerebellar-lobule/10.1117/12.2295709.full?casa_token=h4PyNPIQpUsAAAAA%3aOpGA32iv_3xXHY1jyeOg9baRTcLSAHVgI60U4u7fFx_NgAaGAfjTT3lhCMgKkWGI9Gf5qKojDg 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.
 
 
 
{{h2|Thesis}}
 
* '''L. Zuo'''. ''[https://jscholarship.library.jhu.edu/handle/1774.2/59275 Quality Assurance Using Outlier Detections For Cerebellar Lobule Segmentation]''. Diss. Johns Hopkins University, 2018.
 
  
 
{{h2|Awards}}
 
{{h2|Awards}}
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* 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.
 
* 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 &ndash; 2020.
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* Pre-doctoral Intramural Research Training Award, National Institute of Health, 2019&ndash;2022.
  
{{h2|Teaching}}
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{{h2|Teaching and Mentoring}}
* Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. ''Sep 2018 &ndash; Dec 2018''. (Named as finalist for [https://engineering.jhu.edu/ece/2019/03/08/najim-dehak-shuwen-wei-and-lianrui-zuo-named-as-finalists-for-whiting-school-of-engineerings-excellence-in-teaching-awards/#.XJBWXBNKiMI Whiting School of Engineering’s Excellence in Teaching Awards])
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* Research Mentor, National Science Foundation: Research Experiences for Undergraduates. ''Summer 2021''
* Teaching Assistant, EN 520.433/520.623 Medical Image Analysis, The Johns Hopkins University. ''Jan 2018 &ndash; Apr 2018''
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* Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. ''Fall 2017, Fall 2018'' (Named as finalist for [https://engineering.jhu.edu/ece/2019/03/08/najim-dehak-shuwen-wei-and-lianrui-zuo-named-as-finalists-for-whiting-school-of-engineerings-excellence-in-teaching-awards/#.XJBWXBNKiMI Whiting School of Engineering’s Excellence in Teaching Awards]).
* Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. ''Sep 2017 &ndash; Dec 2017''
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* Teaching Assistant, EN 520.433/520.623 Medical Image Analysis, The Johns Hopkins University. ''Spring 2018, Spring 2021''

Latest revision as of 13:40, 5 July 2022


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 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