| Machine learning for cataract classification/grading on ophthalmic imaging modalities: A survey XQ Zhang, Y Hu, ZJ Xiao, JS Fang, R Higashita, J Liu Machine Intelligence Research 19 (3), 184-208, 2022 | 36 | 2022 |
| Deep triplet hashing network for case-based medical image retrieval J Fang, H Fu, J Liu Medical image analysis 69, 101981, 2021 | 36 | 2021 |
| Video-based cross-modal recipe retrieval D Cao, Z Yu, H Zhang, J Fang, L Nie, Q Tian Proceedings of the 27th ACM International Conference on Multimedia, 1685-1693, 2019 | 29 | 2019 |
| A novel deep learning method for nuclear cataract classification based on anterior segment optical coherence tomography images X Zhang, Z Xiao, R Higashita, W Chen, J Yuan, J Fang, Y Hu, J Liu 2020 IEEE international conference on systems, man, and cybernetics (SMC …, 2020 | 26 | 2020 |
| Time series imputation via integration of revealed information based on the residual shortcut connection J Zhang, X Mu, J Fang, Y Yang IEEE Access 7, 102397-102405, 2019 | 17 | 2019 |
| Attention-based saliency hashing for ophthalmic image retrieval J Fang, Y Xu, X Zhang, Y Hu, J Liu 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 13 | 2020 |
| Exercise difficulty prediction in online education systems J Fang, W Zhao, D Jia 2019 International Conference on Data Mining Workshops (ICDMW), 311-317, 2019 | 12 | 2019 |
| Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images R Liao, A Li, H Yan, J Lin, S Liu, J Wang, J Fang, H Liu, Y Hou, C Song, ... Frontiers in Oncology 12, 1002953, 2022 | 7 | 2022 |
| Research on classification algorithms of nuclear cataract based on anterior segment coherence tomography image. Comput Sci X Zhang, J Fang, Z Xiao, H Risa, W Chen, J Yuan, J Liu | 7 | 2022 |
| Weighing features of lung and heart regions for thoracic disease classification J Fang, Y Xu, Y Zhao, Y Yan, J Liu, J Liu BMC Medical Imaging 21 (1), 1-12, 2021 | 7 | 2021 |
| Combating ambiguity for hash-code learning in medical instance retrieval J Fang, H Fu, D Zeng, X Yan, Y Yan, J Liu IEEE Journal of Biomedical and Health Informatics 25 (10), 3943-3954, 2021 | 7 | 2021 |
| An ensemble neural network for multi-label classification of electrocardiogram D Jia, W Zhao, Z Li, C Yan, H Wang, J Hu, J Fang Machine Learning and Medical Engineering for Cardiovascular Health and …, 2019 | 7 | 2019 |
| Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans J Fang, J Wang, A Li, Y Yan, Y Hou, C Song, H Liu, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Deep multi-instance networks for bundle branch block detection from multi-lead ECG J Hu, W Zhao, D Jia, C Yan, H Wang, Z Li, J Fang, M Yang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 5 | 2020 |
| A weighted graph attention network based method for multi-label classification of electrocardiogram abnormalities H Wang, W Zhao, Z Li, D Jia, C Yan, J Hu, J Fang, M Yang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 5 | 2020 |
| Prediction of length of stay on the intensive care unit based on bayesian neural network J Fang, J Zhu, X Zhang Journal of Physics: Conference Series 1631 (1), 012089, 2020 | 4 | 2020 |
| Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology J Fang, M Zeng, X Zhang, H Liu, Y Zhao, P Zhang, H Yang, J Liu, H Miao, ... Biomedical Signal Processing and Control 80, 104277, 2023 | 2 | 2023 |
| Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy J Fang, A Li, PY OuYang, J Li, J Wang, H Liu, FY Xie, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| Factorized convolution with spectral normalization for fundus screening M Zeng, N Zeng, J Fang, J Liu 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 2 | 2022 |
| Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference J Fang, X Zhang, Y Hu, Y Xu, M Yang, J Liu 2020 25th International Conference on Pattern Recognition (ICPR), 73-80, 2021 | 2 | 2021 |
Jiang LiuSouthern University of Science and TechnologyVerified email at sustech.edu.cn
