An ECG generative model of myocardial infarction. - Wenge Que; Chuang Han; Xiliang Zhao; Li Shi (Comput. Methods Programs Biomed., 2022)

Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph. - Chuang Han; Shihao Pan; Wenge Que; Zhizhong Wang; Yunkai Zhai; Li Shi (Expert Syst. Appl., 2022)

QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge. - Chuang Han; Wenge Que; Songwei Wang; Jinying Zhang; Jie Zhao; Li Shi (Expert Syst. Appl., 2022)

Automated Detection and Localization of Myocardial Infarction With Interpretability Analysis Based on Deep Learning. - Chuang Han; Jiajia Sun; Yingnan Bian; Wenge Que; Li Shi (IEEE Trans. Instrum. Meas., 2023)

Efficient electrocardiogram generation based on cardiac electric vector simulation model. - Wenge Que; Yingnan Bian; Shengjie Chen; Xiliang Zhao; Zehua Ji; Pingge Hu; Chuang Han; Li Shi (Comput. Biol. Medicine, 2024)

An Overview of Algorithms for Myocardial Infarction Diagnostics Using ECG Signals: Advances and Challenges. - Chuang Han; Yusen Zhou; Wenge Que; Zuhe Li; Li Shi (IEEE Trans. Instrum. Meas., 2024)