| DeepPPI: boosting prediction of protein–protein interactions with deep neural networks X Du, S Sun, C Hu, Y Yao, Y Yan, Y Zhang Journal of chemical information and modeling 57 (6), 1499-1510, 2017 | 208 | 2017 |
| Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture C Xu, L Xu, Z Gao, S Zhao, H Zhang, Y Zhang, X Du, S Zhao, D Ghista, ... Medical image analysis 50, 82-94, 2018 | 113 | 2018 |
| Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention G Yang, J Chen, Z Gao, S Li, H Ni, E Angelini, T Wong, R Mohiaddin, ... Future Generation Computer Systems 107, 215-228, 2020 | 88 | 2020 |
| MsDBP: exploring DNA-binding proteins by integrating multiscale sequence information via Chou’s five-step rule X Du, Y Diao, H Liu, S Li Journal of Proteome Research 18 (8), 3119-3132, 2019 | 82 | 2019 |
| An integration of deep learning with feature embedding for protein–protein interaction prediction Y Yao, X Du, Y Diao, H Zhu PeerJ 7, e7126, 2019 | 72 | 2019 |
| A parameter-free cleaning method for SMOTE in imbalanced classification Y Yan, R Liu, Z Ding, X Du, J Chen, Y Zhang IEEE Access 7, 23537-23548, 2019 | 66 | 2019 |
| Deep regression segmentation for cardiac bi-ventricle MR images X Du, W Zhang, H Zhang, J Chen, Y Zhang, JC Warrington, G Brahm, S Li IEEE Access 6, 3828-3838, 2018 | 46 | 2018 |
| Multiview two-task recursive attention model for left atrium and atrial scars segmentation J Chen, G Yang, Z Gao, H Ni, E Angelini, R Mohiaddin, T Wong, Y Zhang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 46 | 2018 |
| Complexity analysis of electroencephalogram dynamics in patients with Parkinson’s disease G Liu, Y Zhang, Z Hu, X Du, W Wu, C Xu, X Wang, S Li Parkinson’s Disease 2017, 2017 | 44 | 2017 |
| Cardiac-DeepIED: Automatic pixel-level deep segmentation for cardiac bi-ventricle using improved end-to-end encoder-decoder network X Du, S Yin, R Tang, Y Zhang, S Li IEEE journal of translational engineering in health and medicine 7, 1-10, 2019 | 43 | 2019 |
| ConvsPPIS: identifying protein-protein interaction sites by an ensemble convolutional neural network with feature graph H Zhu, X Du, Y Yao Current Bioinformatics 15 (4), 368-378, 2020 | 41 | 2020 |
| Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm C Xu, L Xu, Z Gao, S Zhao, H Zhang, Y Zhang, X Du, S Zhao, D Ghista, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 41 | 2017 |
| A three-way decision ensemble method for imbalanced data oversampling YT Yan, ZB Wu, XQ Du, J Chen, S Zhao, YP Zhang International Journal of Approximate Reasoning 107, 1-16, 2019 | 39 | 2019 |
| Deepss: Exploring splice site motif through convolutional neural network directly from dna sequence X Du, Y Yao, Y Diao, H Zhu, Y Zhang, S Li IEEE Access 6, 32958-32978, 2018 | 33 | 2018 |
| Correlated regression feature learning for automated right ventricle segmentation J Chen, H Zhang, W Zhang, X Du, Y Zhang, S Li IEEE journal of translational engineering in health and medicine 6, 1-10, 2018 | 32 | 2018 |
| A selective neural network ensemble classification for incomplete data YT Yan, YP Zhang, YW Zhang, XQ Du International Journal of Machine Learning and Cybernetics 8, 1513-1524, 2017 | 30 | 2017 |
| A novel feature extraction scheme with ensemble coding for protein–protein interaction prediction X Du, J Cheng, T Zheng, Z Duan, F Qian International Journal of Molecular Sciences 15 (7), 12731-12749, 2014 | 30 | 2014 |
| Direct segmentation-based full quantification for left ventricle via deep multi-task regression learning network X Du, R Tang, S Yin, Y Zhang, S Li IEEE journal of biomedical and health informatics 23 (3), 942-948, 2018 | 27 | 2018 |
| Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning G Li, X Du, X Li, L Zou, G Zhang, Z Wu PeerJ 9, e11262, 2021 | 20 | 2021 |
| Identification and analysis of cancer diagnosis using probabilistic classification vector machines with feature selection X Du, X Li, W Li, Y Yan, Y Zhang Current Bioinformatics 13 (6), 625-632, 2018 | 20 | 2018 |
