Jun Chen

Orcid: 0000-0001-5406-0621

Affiliations:
  • Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
  • Sun Yat-sen University, School of Biomedical Engineering, Shenzhen, China (PhD 2023)


According to our database1, Jun Chen authored at least 27 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CGR: calibrating generative replay for exemplar-free class-incremental learning.
Multim. Syst., June, 2026

Adaptive personalized federated learning for left atrium segmentation from multi-center LGE CMR images.
Expert Syst. Appl., 2026

Transformer-masked autoencoder (MAE) for robust medical image classification: A comprehensive survey.
Expert Syst. Appl., 2026

2025
Region Uncertainty Estimation for Medical Image Segmentation With Noisy Labels.
IEEE Trans. Medical Imaging, December, 2025

LiMT: A Multi-task Liver Image Benchmark Dataset.
CoRR, November, 2025

Frequency Domain Unlocks New Perspectives for Abdominal Medical Image Segmentation.
CoRR, October, 2025

Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels.
CoRR, March, 2025

DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning.
CoRR, March, 2025

Intermediate Category-Driven Balancing Adjustment Method for Long-Tail Classification.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Mitigating Language Bias in Medical VQA via Causally-Inspired Intervention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Collaborative compensative transformer network for salient object detection.
Pattern Recognit., 2024

Adaptive dynamic inference for few-shot left atrium segmentation.
Medical Image Anal., 2024

AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Tutor Assisted Feature Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

SSDC-Net: An Effective Classification Method of Steel Surface Defects Based on Salient Local Features.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Wavelet Transform-based Distribution Discrepancy Maximization for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data.
IEEE Trans. Medical Imaging, 2022

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022

2020
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020

2019
Discriminative Consistent Domain Generation for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images.
IEEE Access, 2018

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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