| A novel attentional deep neural network-based assessment method for ECG quality Y Jin, Z Li, C Qin, J Liu, Y Liu, L Zhao, C Liu Biomedical Signal Processing and Control 79, 104064, 2023 | 52 | 2023 |
| A novel interpretable method based on dual-level attentional deep neural network for actual multilabel arrhythmia detection Y Jin, J Liu, Y Liu, C Qin, Z Li, D Xiao, L Zhao, C Liu IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2021 | 41 | 2021 |
| Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network YR Jin, ZY Li, YQ Liu, JL Liu, CJ Qin, LQ Zhao, CL Liu Science China Technological Sciences 65 (11), 2617-2630, 2022 | 27 | 2022 |
| A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks J Liu, Y Jin, Y Liu, Z Li, C Qin, X Chen, L Zhao, C Liu Computers in Biology and Medicine 150, 106110, 2022 | 22 | 2022 |
| A novel incremental and interactive method for actual heartbeat classification with limited additional labeled samples Y Jin, C Qin, J Liu, Z Li, H Shi, K Lin, Y Liu, C Liu IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 21 | 2021 |
| A review of arrhythmia detection based on electrocardiogram with artificial intelligence J Liu, Z Li, Y Jin, Y Liu, C Liu, L Zhao, X Chen Expert review of medical devices 19 (7), 549-560, 2022 | 20 | 2022 |
| A novel deep wavelet convolutional neural network for actual ecg signal denoising Y Jin, C Qin, J Liu, Y Liu, Z Li, C Liu Biomedical Signal Processing and Control 87, 105480, 2024 | 18 | 2024 |
| Precise and efficient heartbeat classification using a novel lightweight-modified method Y Liu, Y Jin, J Liu, C Qin, K Lin, H Shi, J Tao, L Zhao, C Liu Biomedical Signal Processing and Control 68, 102771, 2021 | 14 | 2021 |
| An efficient neural network-based method for patient-specific information involved arrhythmia detection Y Liu, C Qin, J Liu, Y Jin, Z Li, C Liu Knowledge-Based Systems 250, 109021, 2022 | 12 | 2022 |
| A deep learning-based acute coronary syndrome-related disease classification method: A cohort study for network interpretability and transfer learning Y Liu, J Liu, C Qin, Y Jin, Z Li, L Zhao, C Liu Applied Intelligence 53 (21), 25562-25580, 2023 | 6 | 2023 |
| Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance Y Liu, C Qin, C Liu, J Liu, Y Jin, Z Li, L Zhao Iscience 25 (11), 2022 | 6 | 2022 |
| Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs Y Liu, J Liu, Y Tian, Y Jin, Z Li, L Zhao, C Liu Applied Soft Computing 154, 111340, 2024 | 4 | 2024 |
| A Two-Dimensional Arrhythmia Diagnosis Method Aiming to the Application of Mobile Terminal Devices Y Liu, J Liu, Y Jin, Z Li, L Zhao, C Liu 2021 4th International Conference on Information Communication and Signal …, 2021 | 1 | 2021 |
| A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data YQ Liu, CJ Qin, JL Liu, YR Jin, ZY Li, LQ Zhao, CL Liu Science China Technological Sciences 67 (2), 449-463, 2024 | | 2024 |
