Zhen Yang

According to our database, Zhen Yang authored at least 13 papers between 2012 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.

Zhen Yang, Chuyang Ye, John A. Bogovic, Aaron Carass, Bruno M. Jedynak, Sarah H. Ying, Jerry L. Prince

NeuroImage, 2016

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization.

Zhen Yang, Sayed Mazdak Abulnaga, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi Onyike, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Improving cerebellar segmentation with statistical fusion.

Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.

Ke Li, Chuyang Ye, Zhen Yang, Aaron Carass, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Image Processing, 2016

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.

Sayed Mazdak Abulnaga, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

2015

Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.

Chuyang Ye, Zhen Yang, Sarah H. Ying, Jerry L. Prince

Neuroinformatics, 2015

Interpretable exemplar-based shape classification using constrained sparse linear models.

Gunnar A. Sigurdsson, Zhen Yang, Trac D. Tran, Jerry L. Prince

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression.

Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

System for Integrated Neuroimaging Analysis and Processing of Structure.

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

Neuroinformatics, 2013

Automatic cell segmentation in fluorescence images of confluent cell monolayers using multi-object geometric deformable model.

Zhen Yang, John A. Bogovic, Aaron Carass, Mao Ye, Peter C. Searson, Jerry L. Prince

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Covariance shrinking in active shape models with application to gyral labeling of the cerebral cortex.

Zhen Yang, Aaron Carass, Jerry L. Prince

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Simultaneous cortical surface labeling and sulcal curve extraction.

Zhen Yang, Aaron Carass, Chen Chen, Jerry L. Prince

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Automatic sulcal curve extraction with MRF based shape prior.

Zhen Yang, Aaron Carass, Jerry L. Prince

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012