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ORCIDZhen Yang 0002
Person information
- affiliation: The Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD, USA
Other persons with the same name
- Zhen Yang — disambiguation page
- Zhen Yang 0001
![[0000-0002-4400-3823]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4400-3823")
— Nanjing University of Posts and Telecommunications, Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China (and 1 more) - Zhen Yang 0003 — Beijing Institute of Technology, School of Computer Science and Technology, China
- Zhen Yang 0004 — Beijing University of Technology, College of Computer Science, China (and 1 more)
- Zhen Yang 0005 — Xinyang Normal University, School of Physics and Electronic Engineering / Key Laboratory of Microelectronics and Energy of Henan Province, China
- Zhen Yang 0006 — University of Waterloo, Ontario, Canada (and 1 more)
- Zhen Yang 0007 — University of Chinese Academy of Sciences, China (and 1 more)
- Zhen Yang 0008 — Huawei, Shanghai, China
- Zhen Yang 0009 — Zhejiang University, Hangzhou, China
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2010 – 2019
- 2016
[j3]Zhen Yang, Chuyang Ye, John A. Bogovic, Aaron Carass, Bruno M. Jedynak, Sarah H. Ying, Jerry L. Prince:
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. NeuroImage 127: 435-444 (2016)- [c10]Sayed Mazdak Abulnaga, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince:
A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction. Computer-Aided Diagnosis 2016: 97852P - [c9]Zhen Yang, Sayed Mazdak Abulnaga, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi Onyike, Sarah H. Ying, Jerry L. Prince:
Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization. Image Processing 2016: 97840P - [c8]Ke Li, Chuyang Ye, Zhen Yang, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles. Image Processing 2016: 97841H - [c7]Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman:
Improving cerebellar segmentation with statistical fusion. Image Processing 2016: 97842R - 2015
- [j2]Chuyang Ye, Zhen Yang, Sarah H. Ying, Jerry L. Prince:
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6. Neuroinformatics 13(3): 367-381 (2015) - [c6]Gunnar A. Sigurdsson, Zhen Yang, Trac D. Tran, Jerry L. Prince:
Interpretable exemplar-based shape classification using constrained sparse linear models. Image Processing 2015: 94130R - 2014
- [c5]Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression. MLMI 2014: 68-76 - 2013
- [j1]Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung L. Pham, Pierre-Louis Bazin, Susan M. Resnick, Jerry L. Prince:
System for Integrated Neuroimaging Analysis and Processing of Structure. Neuroinformatics 11(1): 91-103 (2013) - [c4]Zhen Yang, Aaron Carass, Jerry L. Prince:
Covariance shrinking in active shape models with application to gyral labeling of the cerebral cortex. ISBI 2013: 1018-1021 - [c3]Zhen Yang, John A. Bogovic, Aaron Carass, Mao Ye, Peter C. Searson, Jerry L. Prince:
Automatic cell segmentation in fluorescence images of confluent cell monolayers using multi-object geometric deformable model. Image Processing 2013: 866904 - 2012
- [c2]Zhen Yang, Aaron Carass, Jerry L. Prince:
Automatic sulcal curve extraction with MRF based shape prior. ISBI 2012: 418-421 - [c1]Zhen Yang, Aaron Carass, Chen Chen, Jerry L. Prince:
Simultaneous cortical surface labeling and sulcal curve extraction. Image Processing 2012: 831414
Coauthor Index
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