| 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 | 78 | 2019 |
| 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 | 55 | 2011 |
| 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 | 44 | 2016 |
| A deep network for tissue microstructure estimation using modified LSTM units C Ye, X Li, J Chen Medical image analysis 55, 49-64, 2019 | 26 | 2019 |
| 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 | 26 | 2014 |
| 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 | 25 | 2014 |
| Tissue microstructure estimation using a deep network inspired by a dictionary-based framework C Ye Medical image analysis 42, 288-299, 2017 | 24 | 2017 |
| Estimation of fiber orientations using neighborhood information C Ye, J Zhuo, RP Gullapalli, JL Prince Medical image analysis 32, 243-256, 2016 | 20 | 2016 |
| 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 | 18 | 2015 |
| 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 | 18 | 2014 |
| An improved deep network for tissue microstructure estimation with uncertainty quantification C Ye, Y Li, X Zeng Medical image analysis 61, 101650, 2020 | 17 | 2020 |
| 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 | 15 | 2015 |
| 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 | 14 | 2017 |
| 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 | 12 | 2015 |
| 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 | 11 | 2013 |
| 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 | 9 | 2021 |
| 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 | 9 | 2013 |
| 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 | 8 | 2020 |
| 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 | 8 | 2019 |
| q-Space Learning with Synthesized Training Data C Ye, Y Cui, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 8 | 2019 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
