Difference between revisions of "Lianrui"
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<meta name="title" content="CHANGE ME TO THE PAGE TITLE"/> | <meta name="title" content="CHANGE ME TO THE PAGE TITLE"/> | ||
{{h2|Lianrui Zuo}} | {{h2|Lianrui Zuo}} | ||
| − | I am a PhD student in the Department of Electrical and Computer Engineering. My research interests include automatic quality control for both raw and segmented MR images. | + | I am currently a PhD student in the Department of Electrical and Computer Engineering. My research interests include automatic quality control for both raw and segmented MR images. |
==Education== | ==Education== | ||
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==Publications== | ==Publications== | ||
| + | '''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. | ||
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| + | '''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. | ||
Revision as of 01:37, 5 November 2018
<meta name="title" content="CHANGE ME TO THE PAGE TITLE"/>
Lianrui Zuo
I am currently a PhD student in the Department of Electrical and Computer Engineering. My research interests include automatic quality control for both raw and segmented MR images.
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, 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.
L. Zuo. Quality Assurance Using Outlier Detections For Cerebellar Lobule Segmentation. Diss. Johns Hopkins University, 2018.
