Bao Li (李豹)

Bao Li (李豹)

I am a Postdoc at Harvard Medical School working with Dr. Kun-Hsing Yu. 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 .

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

  • 2024.10 - Present, Postdoctoral Research Fellow, Harvard Medical School.
  • 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

Medical Image Analysis 2023
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  • Bao Li, et al. NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification. Medical Image Analysis. 2023 (Minor Revision). [Code]

Journal

Breast 2022
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  • Bao Li, et al. Deep Learning with Biopsy Whole Slide Images for Pretreatment Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study. Breast. 2022, 66: 183-190. (JCR:Q1; IF:5.7) [HTML] [Code]

Conference

AAAI 2024
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  • Bao Li, et al. Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI. 2024, 38(4): 3000-3008. [HTML] [Code]

  • 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.

  • 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]