2138acom太阳集团

2138acom太阳集团:叶初阳



叶初阳

副教授

出生年月:19853

办公电话:010-68913611

电子邮件:chuyang.ye@bit.edu.cn


所在学科

电子科学与技术

研究方向

医学图像处理

个人简历


2018.03 至今:任职于 www.2138.com 2138acom太阳集团

2015.03-2018.03:任职中国科学院 自动化研究所

2009.09-2014.12:就读于 Johns Hopkins University 电子与计算机工程 博士

2005.09-2009.07:就读于 北京大学 电子信息科学及技术 本科

代表性学术成果

1. Qi Lu, Yuxing Li, Chuyang Ye*, “Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks”, Medical Image Analysis 72, 102094, 2021.

2. Yu Qin, Yuxing Li, Zhizheng Zhuo, Zhiwen Liu*, Yaou Liu*, Chuyang Ye*, “Multimodal super-resolved q-space deep learning”, Medical Image Analysis 71, 102085, 2021.

3. Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye*, “Super-resolved q-space deep learning with uncertainty quantification”, Medical Image Analysis 67, 101885, 2021.

4. Yanlin Liu#, Wenhui Cui#, Qing Ha, Xiaoliang Xiong, Xiangzhu Zeng, Chuyang Ye*, “Knowledge transfer between brain lesion segmentation tasks with increased model capacity”, Computerized Medical Imaging and Graphics 88, 101842, 2021.

5. Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye*, “Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

6. Xinru Zhang#, Chenghao Liu#, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu*, Chuyang Ye*, CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

7. Qi Lu, Chuyang Ye*, “Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts”, Information Processing in Medical Imaging (IPMI), 2021.

8. Chuyang Ye*, Yuxing Li, Xiangzhu Zeng, “An improved deep network for tissue microstructure estimation with uncertainty quantification”, Medical Image Analysis 61, 101650, 2020.

9. Qi Lu, Yuxing Li, Chuyang Ye*, “White Matter Tract Segmentation with Self-supervised Learning”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.

10. Chuyang Ye, Xiuli Li, Jingnan Chen*, “A Deep Network for Tissue Microstructure Estimation Using Modified LSTM Units”, Medical Image Analysis 55, Pages 49-64, 2019.

11. Chuyang Ye*, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu, “Super-Resolved q-Space Deep Learning”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.

12. Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye*, “Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model”, Information Processing in Medical Imaging (IPMI), 2019.

13. Chuyang Ye*, Jerry L. Prince, “Dictionary-based fiber orientation estimation with improved spatial consistency”, Medical Image Analysis 44, Pages 41-53, 2018.

14. Chuyang Ye*, “Tissue microstructure estimation using a deep network inspired by a dictionary-based framework”, Medical Image Analysis 42, Pages 288-299, 2017.

15. Chuyang Ye*, Jerry L. Prince, “Fiber Orientation Estimation Guided by a Deep Network”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.

16. Chuyang Ye*, “Learning-based Ensemble Average Propagator Estimation”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.

17. Chuyang Ye*, Jerry L. Prince, “Probabilistic tractography using Lasso bootstrap”, Medical Image Analysis 35, Pages 544-553, 2017.

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

19. Chuyang Ye*, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince, “Estimation of fiber orientations using neighborhood information”, Medical Image Analysis 32, Pages 243-256, 2016.

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

荣誉奖励

IEEE TMI Distinguished Reviewer, Bronze Level, 2021

学术兼职及其他

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