Jiansheng Fang
Jiansheng Fang
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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
Deep triplet hashing network for case-based medical image retrieval
J Fang, H Fu, J Liu
Medical image analysis 69, 101981, 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
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
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
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
Exercise difficulty prediction in online education systems
J Fang, W Zhao, D Jia
2019 International Conference on Data Mining Workshops (ICDMW), 311-317, 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
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
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
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
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
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
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
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
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
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
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
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
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
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