I obtained my Ph.D. in Biomedical Engineering (BME) from the University of Science and Technology of China (USTC) in June 2024. Before that, I got my B.E. degree from USTC in 2019.
My primary research interests lie in computational pathology, focusing on the quantitative analysis of pathology images. I am dedicated to developing advanced models with the long-term goal of reducing pathologists’ workload and improving patients’ survival. I have published 5+ papers with .
I am actively seeking a PostDoc or Research Associate position in computational pathology starting in the summer of 2024. Feel free to Email me if you are interested in my research.
My research interest includes:
- Computational Pathology
- Pathology Image Analysis
- Medical Image Analysis
🔥 News
- 2023.12: 🎉 A first-author paper is accepted by AAAI 2024!
🎓 Experiences
2019.09 - 2024.06, Ph.D., University of Science and Technology of China.
2018.07 - 2018.09, Summer Research Intern, University of California, Riverside.
2015.09 - 2019.06, B.E., University of Science and Technology of China.
📝 Publications
In Submission
![sym](images/mia2023.jpg)
- Bao Li, et al. NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification. Medical Image Analysis. 2023 (Minor Revision). [Code]
Journal
![sym](images/breast2022.jpg)
Conference
![sym](images/aaai2024.png)
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Bao Li, et al. Breast Cancer HER2 Status Prediction from Hematoxylin-Eosin Stained Images Using Point Cloud Transformer. In Proceedings of the 2023 San Antonio Breast Cancer Symposium.
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Bao Li, et al. Multi-omics Fusion for Prediction of Response to Neoadjuvant Therapy in Breast Cancer with External Validation. In Proceedings of the 2021 San Antonio Breast Cancer Symposium. [News]
🏅 Honors and Awards
- 2022
First Class
Ph.D. Scholarship of the University of Science and Technology. - 2021
Second Class
Ph.D. Scholarship of the University of Science and Technology. - 2017.10
2nd Prize
in the 17th “RoboGame” of the University of Science and Technology (SV Team). [News]