Jun Li

Affiliations:
  • Beihang University, School of Astronautics, Image Processing Center, Beijing, China
  • Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China


According to our database1, Jun Li authored at least 9 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Partial-Label Contrastive Representation Learning for Fine-Grained Biomarkers Prediction From Histopathology Whole Slide Images.
IEEE J. Biomed. Health Informatics, January, 2025

2024
Algorithms in Surgical Action Recognition: A Survey.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2024

2023
Kernel Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis.
IEEE Trans. Medical Imaging, September, 2023

2022
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

Weakly supervised histopathological image representation learning based on contrastive dynamic clustering.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Global-Local Attention Network for Weakly Supervised Cervical Cytology ROI Analysis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Frequency-Based Convolutional Neural Network for Efficient Segmentation of Histopathology Whole Slide Images.
Proceedings of the Image and Graphics - 11th International Conference, 2021


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