A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. - Ahmed El-Azab; Hongmin Bai; Mengya Yang; Qingmao Hu; Minh Hung Le; Tianfu Wang 001; Baiying Lei (EMBC, 2018)

Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. - Mengya Yang; Peng Yang 011; Ahmed El-Azab; Wen Hou; Xia Li 006; Tianfu Wang 001; Wenbin Zou; Baiying Lei (EMBC, 2018)

Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. - Mengya Yang; Ahmed El-Azab; Peng Yang 011; Zaimin Xia; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. - Zaimin Xia; Guanghui Yue 001; Yanwu Xu 001; Chiyu Feng; Mengya Yang; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

Deep and joint learning of longitudinal data for Alzheimer's disease prediction. - Baiying Lei; Mengya Yang; Peng Yang 011; Feng Zhou 003; Wen Hou; Wenbin Zou; Xia Li 006; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2020)

Predicting clinical scores for Alzheimer's disease based on joint and deep learning. - Baiying Lei; Enmin Liang; Mengya Yang; Peng Yang 011; Feng Zhou 003; Ee-Leng Tan; Yi Lei; Chuan-Ming Liu; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Expert Syst. Appl., 2022)

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. - Qinmei Xu 003; Yiheng Li; Xianghao Zhan; Ahmet Gorkem Er; Brittany Dashevsky; Chuanjun Xu; Mohammed Alawad; Mengya Yang; Liu Ya; Changsheng Zhou; Xiao Li; Haruka Itakura; et al. (CoRR, 2025)