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Chuyang Ye
Chuyang Ye
Associate Professor, School of Integrated Circuits and Electronics, Beijing Institute of Technology
Verified email at bit.edu.cn - Homepage
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Cited by
Cited by
Year
Semi-supervised brain lesion segmentation with an adapted mean teacher model
W Cui, Y Liu, Y Li, M Guo, Y Li, X Li, T Wang, X Zeng, C Ye
International Conference on Information Processing in Medical Imaging, 554-565, 2019
782019
Direct segmentation of the major white matter tracts in diffusion tensor images
PL Bazin, C Ye, JA Bogovic, N Shiee, DS Reich, JL Prince, DL Pham
Neuroimage 58 (2), 458-468, 2011
552011
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease
Z Yang, C Ye, JA Bogovic, A Carass, BM Jedynak, SH Ying, JL Prince
NeuroImage 127, 435-444, 2016
442016
A deep network for tissue microstructure estimation using modified LSTM units
C Ye, X Li, J Chen
Medical image analysis 55, 49-64, 2019
262019
Reconstruction of the human cerebral cortex robust to white matter lesions: method and validation
N Shiee, PL Bazin, JL Cuzzocreo, C Ye, B Kishore, A Carass, ...
Human brain mapping 35 (7), 3385-3401, 2014
262014
Automatic method for thalamus parcellation using multi-modal feature classification
JV Stough, J Glaister, C Ye, SH Ying, JL Prince, A Carass
International Conference on Medical Image Computing and Computer-assisted …, 2014
252014
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework
C Ye
Medical image analysis 42, 288-299, 2017
242017
Estimation of fiber orientations using neighborhood information
C Ye, J Zhuo, RP Gullapalli, JL Prince
Medical image analysis 32, 243-256, 2016
202016
Segmentation of the cerebellar peduncles using a random forest classifier and a multi-object geometric deformable model: Application to spinocerebellar ataxia type 6
C Ye, Z Yang, SH Ying, JL Prince
Neuroinformatics 13 (3), 367-381, 2015
182015
Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information
C Ye, V Vaidya, F Zhao
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
182014
An improved deep network for tissue microstructure estimation with uncertainty quantification
C Ye, Y Li, X Zeng
Medical image analysis 61, 101650, 2020
172020
A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging
C Ye, E Murano, M Stone, JL Prince
Computerized Medical Imaging and Graphics 45, 63-74, 2015
152015
Estimation of tissue microstructure using a deep network inspired by a sparse reconstruction framework
C Ye
International Conference on Information Processing in Medical Imaging, 466-477, 2017
142017
Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging
F Xing, C Ye, J Woo, M Stone, J Prince
Medical Imaging 2015: Image Processing 9413, 94131L, 2015
122015
Thalamic parcellation from multi-modal data using random forest learning
JV Stough, C Ye, SH Ying, JL Prince
2013 IEEE 10th International Symposium on Biomedical Imaging, 852-855, 2013
112013
Super-Resolved q-Space deep learning with uncertainty quantification
Y Qin, Z Liu, C Liu, Y Li, X Zeng, C Ye
Medical Image Analysis 67, 101885, 2021
92021
Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model
C Ye, JA Bogovic, SH Ying, JL Prince
Medical Imaging 2013: Image Processing 8669, 866909, 2013
92013
Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Q Zhai, Z Lin, H Ge, Y Liang, N Li, Q Ma, C Ye
Scientific reports 10 (1), 1-10, 2020
82020
Super-Resolved q-Space Deep Learning
C Ye, Y Qin, C Liu, Y Li, X Zeng, Z Liu
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
q-Space Learning with Synthesized Training Data
C Ye, Y Cui, X Li
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
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