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Chuyang Ye

Chuyang Ye, PhD

Associate Professor

Brainnetome Center & National Laboratory of Pattern Recognition

Institute of Automation, The Chinese Academy of Sciences

Beijing 100190, P. R. China

Email: chuyang.ye@nlpr.ia.ac.cn 

 


Education

2009-2014 PhD in Electrical and Computer Engineering, Johns Hopkins University

2005-2009 B.S. in Electronic Engineering and Computer Science, Peking University 


Research Interests

Diffusion MRI processing and analysis with applications to neuroscience studies 


Publications

Journal Papers:

C. Ye, J.L. Prince, "Probabilistic tractography using Lasso bootstrap", Medical Image Analysis 35, Pages 544–553, 2017.

C. Ye, J. Zhuo, R.P. Gullapalli, J.L. Prince, "Estimation of fiber orientations using neighborhood information'', Medical Image Analysis 32, Pages 243–256, 2016.

C. Ye, J.L. Prince, "A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation", Computerized Medical Imaging and Graphics 54, Pages 35{47, 2016.

Z. Yang, C. Ye, J.A. Bogovic, A. Carass, B.M. Jedynak, S.H. Ying, J.L. Prince, "Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease”, NeuroImage 127, Pages 435–444, 2016.

C. Ye, Z. Yang, S.H. Ying, J.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), Pages 367–381, July 2015.

C. Ye, E. Murano, M. Stone, J.L. Prince, “A Bayesian approach to distinguishing interdigitated muscles in the tongue from limited diffusion magnetic resonance imaging”, Computerized Medical Imaging and Graphics 45, Pages 63–74, October 2015.

N. Shiee, P.-L. Bazin, J.L. Cuzzocreo, C. Ye, B. Kishore, A. Carass, P.A. Calabresi, D.S. Reich, J.L. Prince, D.L. Pham. “Reconstruction of the human cerebral cortex robust to white matter lesions: Method and validation”, Human Brain Mapping, 35(7): Pages 3385–3401, July 2014.

P.-L. Bazin, C. Ye, J.A. Bogovic, N. Shiee, D.S. Reich, J.L. Prince, D.L. Pham, “Direct segmentation of the major white matter tracts in diffusion tensor images”, NeuroImage, 58(2): Pages 458–468, September 2011.

Conference Papers:

C. Ye, J.L. Prince, “Fiber Orientation Estimation Guided by a Deep Network", Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.

C. Ye, “Learning-based Ensemble Average Propagator Estimation", Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.

C. Ye, “Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework”, Information Processing in Medical Imaging (IPMI), 2017.

C. Ye, “Fiber orientation estimation using nonlocal and local information”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016.

C. Ye, J. Zhuo, R.P. Gullapalli, J.L. Prince, “Estimation of fiber orientations using neighborhood information”, MICCAI Workshop on Computational Diffusion MRI, 2015.

F. Xing, C. Ye, J. Woo, M. Stone, J.L. Prince, “Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging”, Proceedings of SPIE Medical Imaging (SPIE-MI), 2015.

C. Ye, J. Glaister, J.L. Prince, “Probabilistic fiber tracking using a modified Lasso bootstrap method”, IEEE International Symposium on Biomedical Imaging (ISBI), 2015.

C. Ye, A. Carass, E. Murano, M. Stone, J.L. Prince, “A Bayesian approach to distinguishing interdigitated muscles in the tongue from limited diffusion weighted imaging”, MICCAI Workshop on Bayesian & Graphical Models for Biomedical Imaging (BAMBI), 2014.

C. Ye, V. Vaidya, F. Zhao, “Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014.

J.V. Stough, J. Glaister, C. Ye, S.H. Ying, J.L. Prince, A. Carass, “Automatic method for thalamus parcellation using multi-modal feature classification”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.

Z. Yang, J.A. Bogovic, C. Ye, A. Carass, S.H. Ying, J.L. Prince, “Automated cerebellar lobule segmentation using graph cuts”, MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications (SATA), 2013.

C. Ye, J.A. Bogovic, S.H. Ying, J.L. Prince, “Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model”, IEEE International Symposium on Biomedical Imaging (ISBI), 2013.

J.V. Stough, C. Ye, S.H. Ying, J.L. Prince, “Thalamic parcellation from multi-modal data using random forest learning”, IEEE International Symposium on Biomedical Imaging (ISBI), 2013.

C. Ye, J.A. Bogovic, S.H. Ying, J.L. Prince, “Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model”, Proceedings of SPIE Medical Imaging (SPIE-MI), 2013.

C. Ye, P.-L. Bazin, J.A. Bogovic, S.H. Ying, J.L. Prince, “Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation”, Proceedings of SPIE Medical Imaging (SPIE-MI), 2012.

C. Ye, P.-L. Bazin, S.H. Ying, J.L. Prince, “A fiber tracking method guided by volumetric tract segmentation”, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), 2012.

C. Ye, J.A. Bogovic, P.-L. Bazin, J.L. Prince, S.H. Ying, “Fully automatic segmentation of the dentate nucleus using diffusion weighted images”, IEEE International Symposium on Biomedical Imaging (ISBI), 2012.

Conference Abstracts:

W.R. Gray, J.A. Bogovic, J.T. Vogelstein, C. Ye, B.A. Landman, J.L. Prince, R.J. Vogelstein, “Magnetic resonance connectome automated pipeline and repeatability analysis”, Society for Neuroscience, 2011.

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