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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
Title
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
Information Processing in Medical Imaging: 26th International Conference …, 2019
1722019
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
742011
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
552016
A deep network for tissue microstructure estimation using modified LSTM units
C Ye, X Li, J Chen
Medical image analysis 55, 49-64, 2019
472019
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework
C Ye
Medical image analysis 42, 288-299, 2017
412017
An improved deep network for tissue microstructure estimation with uncertainty quantification
C Ye, Y Li, X Zeng
Medical image analysis 61, 101650, 2020
352020
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
352014
Automatic method for thalamus parcellation using multi-modal feature classification
JV Stough, J Glaister, C Ye, SH Ying, JL Prince, A Carass
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
342014
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks
Q Lu, Y Li, C Ye
Medical Image Analysis 72, 102094, 2021
322021
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
322021
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, 367-381, 2015
272015
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), 20919, 2020
252020
Estimation of tissue microstructure using a deep network inspired by a sparse reconstruction framework
C Ye
Information Processing in Medical Imaging: 25th International Conference …, 2017
252017
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
242014
CarveMix: a simple data augmentation method for brain lesion segmentation
X Zhang, C Liu, N Ou, X Zeng, Z Zhuo, Y Duan, X Xiong, Y Yu, Z Liu, Y Liu, ...
Neuroimage 271, 120041, 2023
232023
Estimation of fiber orientations using neighborhood information
C Ye, J Zhuo, RP Gullapalli, JL Prince
Medical image analysis 32, 243-256, 2016
222016
A transfer learning approach to few-shot segmentation of novel white matter tracts
Q Lu, W Liu, Z Zhuo, Y Li, Y Duan, P Yu, L Qu, C Ye, Y Liu
Medical Image Analysis 79, 102454, 2022
192022
Cerebellar contributions to motor and cognitive control in multiple sclerosis✰✰✰
NE Fritz, EM Edwards, C Ye, J Prince, Z Yang, T Gressett, J Keller, ...
Archives of physical medicine and rehabilitation 103 (8), 1592-1599, 2022
162022
Volumetric segmentation of white matter tracts with label embedding
W Liu, Q Lu, Z Zhuo, Y Li, Y Duan, P Yu, L Qu, C Ye, Y Liu
Neuroimage 250, 118934, 2022
162022
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
142015
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