Jiansheng Fang

According to our database, Jiansheng Fang authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flattening Singular Values of Factorized Convolution for Medical Images.

Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng, Jiang Liu

CoRR, 2024

2023

Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth.

Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu

IEEE Trans. Medical Imaging, December, 2023

PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification.

Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Jiansheng Fang, Junyong Shen, Yan Hu, Risa Higashita, Jiang Liu

CoRR, 2023

Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology.

Jiansheng Fang, Ming Zeng, Xiaoqing Zhang, Hongbo Liu, Yitian Zhao, Peng Zhang, Hong Yang, Junling Liu, Hanpei Miao, Yan Hu, Jiang Liu

Biomed. Signal Process. Control., 2023

FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection.

Xiaoxi Lu, Na Zeng, Xingyue Wang, Jingqi Huang, Yan Hu, Jiansheng Fang, Jiang Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Scale Retina Vessel Segmentation in OCTA with a Vascular Connectivity Module in the Convolutional Neural Network.

Junjie Lin, Xingyue Wang, Jiansheng Fang, Na Zeng, Xiaoxi Lu, Jingqi Huang, Yan Hu, Heng Meng, Jiang Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Concordance Learning with Spectral Decay on Triplet Similarity.

Jiansheng Fang, Jiajian Li

Proceedings of the IEEE International Conference on Data Mining, 2023

Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT.

Jiajian Li, Anwei Li, Jiansheng Fang, Yonghe Hou, Chao Song, Huifang Yang, Jingwen Wang, Hongbo Liu, Jiang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Combating spatial redundancy with spectral norm attention in convolutional learners.

Jiansheng Fang, Dan Zeng, Xiao Yan, Yubing Zhang, Hongbo Liu, Bo Tang, Ming Yang, Jiang Liu

Neurocomputing, 2022

Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey.

Xiaoqing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang, Risa Higashita, Jiang Liu

Int. J. Autom. Comput., 2022

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.

Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy.

Jiansheng Fang, Anwei Li, Pu-Yun OuYang, Jiajian Li, Jingwen Wang, Hongbo Liu, Fang-Yun Xie, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Factorized Convolution with Spectral Normalization for Fundus Screening.

Ming Zeng, Na Zeng, Jiansheng Fang, Jiang Liu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block.

Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Yao Xiang, Jingfeng Zhang, Jianjun Zheng, Jiang Liu

Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Factoring 3D Convolutions for Medical Images by Depth-wise Dependencies-induced Adaptive Attention.

Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Jingqi Huang, Hanpei Miao, Jiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Reassembling Consistent-Complementary Constraints in Triplet Network for Multi-view Learning of Medical Images.

Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Hanpei Miao, William Robert Kwapong, Ziyi Zhang, Shuting Zhang, Jiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.

Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu

IEEE J. Biomed. Health Informatics, 2021

Deep triplet hashing network for case-based medical image retrieval.

Jiansheng Fang, Huazhu Fu, Jiang Liu

Medical Image Anal., 2021

Weighing features of lung and heart regions for thoracic disease classification.

Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu

BMC Medical Imaging, 2021

A Multi-Scale Self-Attention Network for Diabetic Retinopathy Retrieval.

Ming Zeng, Jiansheng Fang, Hanpei Miao, Tianyang Zhang, Jiang Liu

Proceedings of the ICCCV 2021: 4th International Conference on Control and Computer Vision, Macau, SAR, China, August 13, 2021

2020

Ultrasound-Guided Femoral Nerve Block Anesthesia for Tibiofibular Fracture.

Yi Xu, Jiansheng Fang, Yanzhi Xia, Nana Zhang

J. Medical Imaging Health Informatics, 2020

Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey.

Xiaoqing Zhang, Jiansheng Fang, Yan Hu, Yanwu Xu, Risa Higashita, Jiang Liu

CoRR, 2020

A Novel Deep Learning Method for Nuclear Cataract Classification Based on Anterior Segment Optical Coherence Tomography Images.

Xiaoqing Zhang, Zunjie Xiao, Risa Higashita, Wan Chen, Jin Yuan, Jiansheng Fang, Yan Hu, Jiang Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference.

Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities.

Hongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG.

Jing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Attention-based Saliency Hashing for Ophthalmic Image Retrieval.

Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Time Series Imputation via Integration of Revealed Information Based on the Residual Shortcut Connection.

Jinjin Zhang, Xiaodong Mu, Jiansheng Fang, Yue Yang

IEEE Access, 2019

Knowledge Recommendation Based on Item Response Theory.

Jiansheng Fang, Qingshun Guo, Huiyou Chang, Ming Yang, Wei Zhao, Yan Qin

Proceedings of the 15th International Conference on Semantics, Knowledge and Grids, 2019

MOC: Measuring the Originality of Courseware in Online Education Systems.

Jiawei Wang, Jiansheng Fang, Jiao Xu, Shifeng Huang, Da Cao, Ming Yang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Video-Based Cross-Modal Recipe Retrieval.

Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian

Proceedings of the 27th ACM International Conference on Multimedia, 2019

An Ensemble Neural Network for Multi-label Classification of Electrocardiogram.

Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Exercise Difficulty Prediction in Online Education Systems.

Jiansheng Fang, Wei Zhao, Dongya Jia

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019