Jie Du
Orcid: 0000-0003-1518-436XAffiliations:
- Shenzhen University, School of Biomedical Engineering, Health Science Center, China
- University of Macau, Department of Computer and Information Science, China
According to our database1,
Jie Du
authored at least 36 papers
between 2017 and 2024.
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Bibliography
2024
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Operation History Estimation and Its Application to Multi-Degraded Image Restoration.
IEEE Trans. Consumer Electron., February, 2024
A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction.
IEEE Trans. Netw. Sci. Eng., 2024
Adaptive Context Aggregation Network With Prediction-Aware Decoding for Multimodal Brain Tumor Segmentation.
IEEE Trans. Instrum. Meas., 2024
Federated learning using model projection for multi-center disease diagnosis with non-IID data.
Neural Networks, 2024
2023
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, August, 2023
A novel sequential structure for lightweight multi-scale feature learning under limited available images.
Neural Networks, July, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation.
IEEE J. Biomed. Health Informatics, February, 2023
2022
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
Medical Image Anal., 2022
Biomed. Signal Process. Control., 2022
2021
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
IEEE Trans. Medical Imaging, 2021
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification.
IEEE Trans. Cybern., 2021
Cross-attention multi-branch network for fundus diseases classification using SLO images.
Medical Image Anal., 2021
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography.
Medical Image Anal., 2021
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification.
CoRR, 2021
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion.
Appl. Soft Comput., 2021
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification.
Proceedings of the Image and Graphics - 11th International Conference, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels.
IEEE Trans. Cybern., 2020
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data.
Neural Networks, 2020
Skin lesion segmentation via generative adversarial networks with dual discriminators.
Medical Image Anal., 2020
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Medical Image Anal., 2020
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal., 2020
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation.
IEEE Access, 2020
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning.
IEEE Access, 2020
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Medical Image Anal., 2019
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
2018
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
2017
Neural Networks, 2017