Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion. - Dong Wen 002; Zhenhao Wei; Yanhong Zhou; Guolin Li; Xu Zhang; Wei Han (Frontiers Neuroinformatics, 2018)

Classification of ERP Signals from Mild Cognitive Impairment Patients with Diabetes using Dual Input Encoder Convolutional Neural Network. - Dong Wen 002; Zhenhao Wei; Yanhong Zhou; Zhijie Bian; Shimin Yin (CIVEMSA, 2019)

The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method. - Dong Wen 002; Peng Li; Xiaoli Li 002; Zhenhao Wei; Yanhong Zhou; Huan Pei; Fengnian Li; Zhijie Bian; Lei Wang; Shimin Yin (Neural Networks, 2020)

Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records. - Mengying Wang; Zhenhao Wei; Mo Jia; Lianzhong Chen; Hong Ji (BMC Medical Informatics Decis. Mak., 2022)

Clinical assistant decision-making model of tuberculosis based on electronic health records. - Mengying Wang; Cuixia Lee; Zhenhao Wei; Hong Ji; Yingyun Yang; Cheng Yang (BioData Min., 2023)

Full connected layer model with self-attention to hourly predict heparin dosage for perioperative cardiac surgery patients. - Shengjun Liu; Longxiang Su; Huizhen Jiang; Zhenhao Wei; Bingqing Yang; Jiatong Xie; Anhui Guo; Huaiwu He; Weiguo Zhu; Yun Long (Comput. Biol. Medicine, 2024)