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Federated learning using model projection for multi-center disease diagnosis with non-IID data Journal article
Du, Jie, Li, Wei, Liu, Peng, Vong, Chi Man, You, Yongke, Lei, Baiying, Wang, Tianfu. Federated learning using model projection for multi-center disease diagnosis with non-IID data[J]. Neural Networks, 2024, 178, 106409.
Authors:  Du, Jie;  Li, Wei;  Liu, Peng;  Vong, Chi Man;  You, Yongke; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2024/07/04
Catastrophic Forgetting  Federated Learning  Invalid Aggregation  Multi-center Disease Diagnosis  Non-iid Data  
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System Journal article
Jie Du, Peng Liu, Chi Man Vong, Chuangquan Chen, Tianfu Wang, C. L.P. Chen. Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(8), 11332-11345.
Authors:  Jie Du;  Peng Liu;  Chi Man Vong;  Chuangquan Chen;  Tianfu Wang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:10.2/10.4 | Submit date：2023/08/03
Broad Learning System (Bls)  Catastrophic Forgetting  Class Correlations  Class-incremental Learning (Cil)  Recursive Update Rule  
Unrestricted molecular motions enable mild photothermy for recurrence-resistant FLASH antitumor radiotherapy Journal article
Shen, Hanchen, Wang, Hongbin, Mo, Jianlan, Zhang, Jianyu, Xu, Changhuo, Sun, Feiyi, Ou, Xinwen, Zhu, Xinyan, Du, Lidong, Ju, Huaqiang, Ye, Ruquan, Shi, Guangfu, Kwok, Ryan T.K., Lam, Jacky W.Y., Sun, Jianwei, Zhang, Tianfu, Ning, Shipeng, Tang, Ben Zhong. Unrestricted molecular motions enable mild photothermy for recurrence-resistant FLASH antitumor radiotherapy[J]. Bioactive Materials, 2024, 37, 299-312.
Authors:  Shen, Hanchen;  Wang, Hongbin;  Mo, Jianlan;  Zhang, Jianyu;  Xu, Changhuo; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:18.0/18.2 | Submit date：2024/05/16
Aggregation-induced Emission  Cancer Recurrence  Flash Radiotherapy  Mild Photothermal Therapy  Molecular Motion  
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Wang,Tianfu. Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2023, 27(8), 3970-3981.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Wang,Tianfu
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.7/7.1 | Submit date：2023/08/03
Semi-supervised Medical Image Segmentation  Coarse-refined Consistency Learning  Pixel-level Features  Ranked Loss Function  
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Vong,Chi Man, Wang,Tianfu. An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-15.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Vong,Chi Man;  Wang,Tianfu
Favorite | TC[WOS]:2 TC[Scopus]:7  IF:10.2/10.4 | Submit date：2023/08/03
Class-imbalance Learning (Cil)  Correlation  Deep Metric Learning (Dml)  Diverse And Discriminant Feature  Face Recognition  Feature Extraction  Learning Systems  Loss Function With Adaptive Weights  Semantic Correlations Between Classes  Semantics  Task Analysis  Ultrasonic Imaging  
Boundary-Sensitive Loss Function with Location Constraint for Hard Region Segmentation Journal article
Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang. Boundary-Sensitive Loss Function with Location Constraint for Hard Region Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 27(2), 992-1003.
Authors:  Jie Du;  Kai Guan;  Peng Liu;  Yuanman Li;  Tianfu Wang
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:6.7/7.1 | Submit date：2023/01/30
Hard Region Segmentation  Intra-class Imbalance  Boundary Sensitive Loss  Location Constraint  
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation Journal article
Liu, Yujian, Du, Jie, Vong, Chi Man, Yue, Guanghui, Yu, Juan, Wang, Yuli, Lei, Baiying, Wang, Tianfu. Scale-adaptive super-feature based MetricUNet for brain tumor segmentation[J]. Biomedical Signal Processing and Control, 2022, 73, 103442.
Authors:  Liu, Yujian;  Du, Jie;  Vong, Chi Man;  Yue, Guanghui;  Yu, Juan; et al.
Favorite | TC[WOS]:21 TC[Scopus]:27  IF:4.9/4.9 | Submit date：2022/03/28
Brain Tumor Segmentation  Metricunet  Scale-adaptive  Super Voxel-level Feature  Voxel-metric Learning  
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification Journal article
Du, Jie, Zhou, Yanhong, Liu, Peng, Vong, Chi Man, Wang, Tianfu. Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 34(6), 3234 - 3240.
Authors:  Du, Jie;  Zhou, Yanhong;  Liu, Peng;  Vong, Chi Man;  Wang, Tianfu
Favorite | TC[WOS]:22 TC[Scopus]:22  IF:10.2/10.4 | Submit date：2022/05/13
Class-imbalanced Deep Learning  Dynamic Changes  Hyperparameters Tuning  Loss Function  Parameter-free