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ORCIDJiansheng Fang
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2020 – today
- 2024
[c23]Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng, Jiang Liu:
Flattening Singular Values of Factorized Convolution for Medical Images. ICASSP 2024: 1791-1795- [c22]Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Chuangguang Huang, Jingfeng Zhang, Jianjun Zheng, Heng Meng, Jiang Liu:
3D Nodule Content-Based Metric Learning for Evidence-Based Lung Cancer Screening. ICME 2024: 1-7 - [i10]Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng, Jiang Liu:
Flattening Singular Values of Factorized Convolution for Medical Images. CoRR abs/2403.00606 (2024) - 2023
- [j9]Jiansheng Fang
, Ming Zeng, Xiaoqing Zhang, Hongbo Liu, Yitian Zhao, Peng Zhang, Hong Yang, Junling Liu, Hanpei Miao, Yan Hu, Jiang Liu:
Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology. Biomed. Signal Process. Control. 80(Part): 104277 (2023) - [j8]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu:
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth. IEEE Trans. Medical Imaging 42(12): 3602-3613 (2023) - [c21]Jiajian Li, Anwei Li, Jiansheng Fang, Yonghe Hou, Chao Song, Huifang Yang, Jingwen Wang, Hongbo Liu, Jiang Liu:
Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT. ICCV (Workshops) 2023: 2575-2583 - [c20]Jiansheng Fang, Jiajian Li:
Concordance Learning with Spectral Decay on Triplet Similarity. ICDM 2023: 998-1003 - [c19]Junjie Lin, Xingyue Wang, Jiansheng Fang, Na Zeng, Xiaoxi Lu, Jingqi Huang, Yan Hu, Heng Meng, Jiang Liu:
Multi-Scale Retina Vessel Segmentation in OCTA with a Vascular Connectivity Module in the Convolutional Neural Network. ISBI 2023: 1-5 - [c18]Xiaoxi Lu, Na Zeng, Xingyue Wang, Jingqi Huang, Yan Hu, Jiansheng Fang, Jiang Liu:
FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection. ISBI 2023: 1-6 - [i9]Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Jiansheng Fang, Junyong Shen, Yan Hu, Risa Higashita, Jiang Liu:
PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification. CoRR abs/2303.01917 (2023) - 2022
- [j7]Xiao-Qing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang, Risa Higashita, Jiang Liu:
Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey. Int. J. Autom. Comput. 19(3): 184-208 (2022) - [j6]Jiansheng Fang, Dan Zeng, Xiao Yan, Yubing Zhang, Hongbo Liu, Bo Tang, Ming Yang, Jiang Liu:
Combating spatial redundancy with spectral norm attention in convolutional learners. Neurocomputing 511: 105-116 (2022) - [c17]Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Jingqi Huang, Hanpei Miao, Jiang Liu:
Factoring 3D Convolutions for Medical Images by Depth-wise Dependencies-induced Adaptive Attention. BIBM 2022: 883-886 - [c16]Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Hanpei Miao, William Robert Kwapong, Ziyi Zhang, Shuting Zhang, Jiang Liu:
Reassembling Consistent-Complementary Constraints in Triplet Network for Multi-view Learning of Medical Images. BIBM 2022: 1235-1240 - [c15]Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Yao Xiang, Jingfeng Zhang, Jianjun Zheng, Jiang Liu:
Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block. ICCCV 2022: 85-92 - [c14]Ming Zeng, Na Zeng, Jiansheng Fang, Jiang Liu:
Factorized Convolution with Spectral Normalization for Fundus Screening. ISBI 2022: 1-5 - [c13]Jiansheng Fang, Anwei Li, Pu-Yun OuYang, Jiajian Li, Jingwen Wang, Hongbo Liu, Fang-Yun Xie, Jiang Liu:
Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy. MICCAI (8) 2022: 191-201 - [c12]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu:
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans. MICCAI (1) 2022: 484-494 - [i8]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu:
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans. CoRR abs/2206.03049 (2022) - [i7]Jiansheng Fang, Anwei Li, Pu-Yun OuYang, Jiajian Li, Jingwen Wang, Hongbo Liu, Fang-Yun Xie, Jiang Liu:
Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy. CoRR abs/2206.11458 (2022) - 2021
- [j5]Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu:
Weighing features of lung and heart regions for thoracic disease classification. BMC Medical Imaging 21(1): 99 (2021) - [j4]Jiansheng Fang, Huazhu Fu, Jiang Liu:
Deep triplet hashing network for case-based medical image retrieval. Medical Image Anal. 69: 101981 (2021) - [j3]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. IEEE J. Biomed. Health Informatics 25(10): 3943-3954 (2021) - [c11]Ming Zeng, Jiansheng Fang, Hanpei Miao, Tianyang Zhang, Jiang Liu:
A Multi-Scale Self-Attention Network for Diabetic Retinopathy Retrieval. ICCCV 2021: 101-106 - [i6]Jiansheng Fang, Huazhu Fu, Jiang Liu:
Deep Triplet Hashing Network for Case-based Medical Image Retrieval. CoRR abs/2101.12346 (2021) - [i5]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval. CoRR abs/2105.08872 (2021) - [i4]Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu:
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification. CoRR abs/2105.12430 (2021) - 2020
- [j2]Yi Xu, Jiansheng Fang, Yanzhi Xia, Nana Zhang:
Ultrasound-Guided Femoral Nerve Block Anesthesia for Tibiofibular Fracture. J. Medical Imaging Health Informatics 10(6): 1333-1337 (2020) - [c10]Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu:
Attention-based Saliency Hashing for Ophthalmic Image Retrieval. BIBM 2020: 990-995 - [c9]Jing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang:
Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG. EMBC 2020: 353-356 - [c8]Hongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang:
A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities. EMBC 2020: 418-421 - [c7]Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu:
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference. ICPR 2020: 73-80 - [c6]Xiaoqing Zhang, Zunjie Xiao, Risa Higashita, Wan Chen, Jin Yuan, Jiansheng Fang, Yan Hu, Jiang Liu:
A Novel Deep Learning Method for Nuclear Cataract Classification Based on Anterior Segment Optical Coherence Tomography Images. SMC 2020: 662-668 - [i3]Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu:
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference. CoRR abs/2012.03433 (2020) - [i2]Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu:
Attention-based Saliency Hashing for Ophthalmic Image Retrieval. CoRR abs/2012.03466 (2020) - [i1]Xiaoqing Zhang, Jiansheng Fang, Yan Hu, Yanwu Xu, Risa Higashita, Jiang Liu:
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey. CoRR abs/2012.04830 (2020)
2010 – 2019
- 2019
- [j1]Jinjin Zhang, Xiaodong Mu, Jiansheng Fang, Yue Yang:
Time Series Imputation via Integration of Revealed Information Based on the Residual Shortcut Connection. IEEE Access 7: 102397-102405 (2019) - [c5]Jiansheng Fang, Wei Zhao, Dongya Jia:
Exercise Difficulty Prediction in Online Education Systems. ICDM Workshops 2019: 311-317 - [c4]Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang:
An Ensemble Neural Network for Multi-label Classification of Electrocardiogram. MLMECH/CVII-STENT@MICCAI 2019: 20-27 - [c3]Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian:
Video-Based Cross-Modal Recipe Retrieval. ACM Multimedia 2019: 1685-1693 - [c2]Jiawei Wang, Jiansheng Fang, Jiao Xu, Shifeng Huang, Da Cao, Ming Yang:
MOC: Measuring the Originality of Courseware in Online Education Systems. ACM Multimedia 2019: 1952-1960 - [c1]Jiansheng Fang, Qingshun Guo, Huiyou Chang, Ming Yang, Wei Zhao, Yan Qin:
Knowledge Recommendation Based on Item Response Theory. SKG 2019: 1-7
Coauthor Index
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