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Mengya Yang
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2020 – today
- 2022
- [j2]Baiying Lei
, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan
, Yi Lei, Chuan-Ming Liu
, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
:
Predicting clinical scores for Alzheimer's disease based on joint and deep learning. Expert Syst. Appl. 187: 115966 (2022) - 2020
- [j1]Baiying Lei, Mengya Yang
, Peng Yang, Feng Zhou
, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
:
Deep and joint learning of longitudinal data for Alzheimer's disease prediction. Pattern Recognit. 102: 107247 (2020) - [c4]Zaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei:
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. ISBI 2020: 1-4
2010 – 2019
- 2019
- [c3]Mengya Yang, Ahmed El-Azab
, Peng Yang, Zaimin Xia, Tianfu Wang, Baiying Lei
:
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. EMBC 2019: 281-284 - 2018
- [c2]Ahmed El-Azab
, Hongmin Bai, Mengya Yang, Qingmao Hu, Minh Hung Le, Tianfu Wang
, Baiying Lei:
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. EMBC 2018: 758-761 - [c1]Mengya Yang, Peng Yang, Ahmed El-Azab
, Wen Hou, Xia Li, Tianfu Wang
, Wenbin Zou, Baiying Lei:
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. EMBC 2018: 1254-1257
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