Jie Du

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Tumor Segmentation

Image Classification

Breast Ultrasound

Top Venues

Medical Image Anal.

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jie Du, Wei Li, Peng Liu, Chi-Man Vong, Yongke You, Baiying Lei, Tianfu Wang
Federated learning using model projection for multi-center disease diagnosis with non-IID data. Neural Networks 178 (2024)
Guanghui Yue, Shangjie Wu, Jie Du, Tianwei Zhou, Bin Jiang, Tianfu Wang
Adaptive Context Aggregation Network With Prediction-Aware Decoding for Multimodal Brain Tumor Segmentation. IEEE Trans. Instrum. Meas. 73 (2024)
Jie Du, Peng Liu, Chi-Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Yuanman Li, Minhua Liu, Jinyu Tian, Jie Du, Xia Li
Operation History Estimation and Its Application to Multi-Degraded Image Restoration. IEEE Trans. Consumer Electron. 70 (1) (2024)
Yuanman Li, Ce Xie, Rongqin Liang, Jie Du, Jiantao Zhou, Xia Li
A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Jie Du, Xiaoci Zhang, Peng Liu, Tianfu Wang
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Peng Liu, Jie Du, Chi-Man Vong
A novel sequential structure for lightweight multi-scale feature learning under limited available images. Neural Networks 164 (2023)
Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Jie Du, Yanhong Zhou, Peng Liu, Chi-Man Vong, Tianfu Wang
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Jie Du, Kai Guan, Yanhong Zhou, Yuanman Li, Tianfu Wang
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, Aocai Yang, Kuan Lv, Guolin Ma, Baiying Lei
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. Medical Image Anal. 79 (2022)
Yuchao Su, Jie Du, Yuanman Li, Xia Li, Rongqin Liang, Zhongyun Hua, Jiantao Zhou
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73 (2022)
Yanhong Zhou, Jie Du, Yujian Liu, Yali Qiu, Tianfu Wang
CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. ICIG (2) (2021)
Jiahua Luo, Chi-Man Vong, Jie Du
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. CoRR (2021)
Yanhong Zhou, Jie Du, Kai Guan, Tianfu Wang
Multi-modal Broad Learning System for Medical Image and Text-based Classification. EMBC (2021)
Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang, Jiuwen Cao, Tianfu Wang, Baiying Lei
Cross-attention multi-branch network for fundus diseases classification using SLO images. Medical Image Anal. 71 (2021)
Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40 (6) (2021)
Cheng Zhao, Bei Xia, Libao Guo, Jie Du, Weiling Chen, Tianfu Wang, Baiying Lei
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. ISBI (2021)
Jie Du, Chi-Man Vong, C. L. Philip Chen
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification. IEEE Trans. Cybern. 51 (3) (2021)
Cheng Zhao, Bei Xia, Weiling Chen, Libao Guo, Jie Du, Tianfu Wang, Baiying Lei
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion. Appl. Soft Comput. 107 (2021)
Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71 (2021)
Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. ISBI (2020)
Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61 (2020)
Jie Du, Chi-Man Vong
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels. IEEE Trans. Cybern. 50 (1) (2020)
Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64 (2020)
Chi-Man Vong, Jie Du
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data. Neural Networks 128 (2020)
Jie Du, Chi-Man Vong, Chuangquan Chen, Peng Liu, Zhenbao Liu
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning. IEEE Access 8 (2020)
Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jie Du, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64 (2020)
Yujin Hu, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei, Tianfu Wang
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access 8 (2020)
Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. ISBI (2020)
Zehui Lin, Shengli Li, Dong Ni, Yimei Liao, Huaxuan Wen, Jie Du, Siping Chen, Tianfu Wang, Baiying Lei
Multi-task learning for quality assessment of fetal head ultrasound images. Medical Image Anal. 58 (2019)
Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. SUSI/PIPPI@MICCAI (2019)
Chi-Man Vong, Jie Du, Chiman Wong, Jiuwen Cao
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Jie Du, Chi-Man Vong, Chi-Man Pun, Pak-Kin Wong, Weng-Fai Ip
Post-boosting of classification boundary for imbalanced data using geometric mean. Neural Networks 96 (2017)