| A hybrid solution for privacy preserving medical data sharing in the cloud environment JJ Yang, JQ Li, Y Niu Future Generation computer systems 43, 74-86, 2015 | 346 | 2015 |
| Emerging information technologies for enhanced healthcare JJ Yang, J Li, J Mulder, Y Wang, S Chen, H Wu, Q Wang, H Pan Computers in industry 69, 3-11, 2015 | 228 | 2015 |
| Exploiting ensemble learning for automatic cataract detection and grading JJ Yang, J Li, R Shen, Y Zeng, J He, J Bi, Y Li, Q Zhang, L Peng, Q Wang Computer methods and programs in biomedicine 124, 45-57, 2016 | 176 | 2016 |
| Application of weighted gene co-expression network analysis for data from paired design J Li, D Zhou, W Qiu, Y Shi, JJ Yang, S Chen, Q Wang, H Pan Scientific reports 8 (1), 622, 2018 | 167 | 2018 |
| A computer-aided healthcare system for cataract classification and grading based on fundus image analysis L Guo, JJ Yang, L Peng, J Li, Q Liang Computers in Industry 69, 72-80, 2015 | 148 | 2015 |
| Automatic cataract detection and grading using deep convolutional neural network L Zhang, J Li, H Han, B Liu, J Yang, Q Wang 2017 IEEE 14th international conference on networking, sensing and control …, 2017 | 133 | 2017 |
| Comparative analysis of vessel segmentation techniques in retinal images A Imran, J Li, Y Pei, JJ Yang, Q Wang IEEE Access 7, 114862-114887, 2019 | 120 | 2019 |
| Classification of retinal image for automatic cataract detection M Yang, JJ Yang, Q Zhang, Y Niu, J Li 2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013 | 100 | 2013 |
| Classification of cataract fundus image based on deep learning Y Dong, Q Zhang, Z Qiao, JJ Yang 2017 IEEE international conference on imaging systems and techniques (IST), 1-5, 2017 | 98 | 2017 |
| WCP-RNN: a novel RNN-based approach for Bio-NER in Chinese EMRs: paper ID: FC_17_25 J Li, S Zhao, J Yang, Z Huang, B Liu, S Chen, H Pan, Q Wang The journal of supercomputing 76, 1450-1467, 2020 | 56 | 2020 |
| Automatic cataract diagnosis by image-based interpretability J Li, X Xu, Y Guan, A Imran, B Liu, L Zhang, JJ Yang, Q Wang, L Xie 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 52 | 2018 |
| Application of SVM based on genetic algorithm in classification of cataract fundus images Z Qiao, Q Zhang, Y Dong, JJ Yang 2017 IEEE International Conference on Imaging Systems and Techniques (IST), 1-5, 2017 | 45 | 2017 |
| Fundus image based cataract classification J Zheng, L Guo, L Peng, J Li, J Yang, Q Liang 2014 IEEE International Conference on Imaging Systems and Techniques (IST …, 2014 | 42 | 2014 |
| Performance of deep neural network-based artificial intelligence method in diabetic retinopathy screening: a systematic review and meta-analysis of diagnostic test accuracy S Wang, Y Zhang, S Lei, H Zhu, J Li, Q Wang, J Yang, S Chen, H Pan European Journal of Endocrinology 183 (1), 41-49, 2020 | 41 | 2020 |
| Comparison of different machine learning approaches to predict small for gestational age infants J Li, L Liu, J Sun, H Mo, JJ Yang, S Chen, H Liu, Q Wang, H Pan IEEE Transactions on Big Data 6 (2), 334-346, 2016 | 40 | 2016 |
| Enforcing differential privacy for shared collaborative filtering J Li, JJ Yang, Y Zhao, B Liu, M Zhou, J Bi, Q Wang IEEE Access 5, 35-49, 2016 | 38 | 2016 |
| Principal component analysis based cataract grading and classification W Fan, R Shen, Q Zhang, JJ Yang, J Li 2015 17th International Conference on E-health Networking, Application …, 2015 | 38 | 2015 |
| Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators F Akhtar, J Li, M Azeem, S Chen, H Pan, Q Wang, JJ Yang The Journal of Supercomputing 76, 6219-6237, 2020 | 37 | 2020 |
| Cataract detection and grading with retinal images using SOM-RBF neural network A Imran, J Li, Y Pei, F Akhtar, JJ Yang, Q Wang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2626-2632, 2019 | 37 | 2019 |
| Health sensing by wearable sensors and mobile phones: A survey L Song, Y Wang, JJ Yang, J Li 2014 IEEE 16th International Conference on e-Health Networking, Applications …, 2014 | 35 | 2014 |
