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Bao Li
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Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: A multicenter study
B Li, F Li, Z Liu, FP Xu, G Ye, W Li, Y Zhang, T Zhu, L Shao, C Chen, ...
The Breast, 2022
112022
Development of prognostic biomarkers by TMB-guided WSI analysis: a two-step approach
X Liu, Z Liu, Y Yan, K Wang, A Wang, X Ye, L Wang, W Wei, B Li, C Sun, ...
IEEE Journal of Biomedical and Health Informatics 27 (4), 1780-1789, 2023
62023
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
B Li, Z Liu, L Shao, B Qiu, H Bu, J Tian
Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3000-3008, 2024
12024
Tumor Mutation Burden–Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning
C Sun, T Luo, Z Liu, J Ge, L Shao, X Liu, B Li, S Zhang, Q Qiu, W Wei, ...
The American Journal of Pathology 193 (12), 2111-2121, 2023
12023
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study
S Zhang, G Cai, P Xie, C Sun, B Li, W Dai, X Liu, Q Qiu, Y Du, Z Li, Z Liu, ...
Radiotherapy and Oncology 188, 109899, 2023
12023
Abstract PO4-07-04: Breast Cancer HER2 Status Prediction from Hematoxylin-Eosin Stained Images Using Point Cloud Transformer
B Li, Z Liu, Y Du, J Tian
Cancer Research 84 (9_Supplement), PO4-07-04-PO4-07-04, 2024
2024
Improving prediction of treatment response and prognosis in colorectal cancer with AI-based medical image analysis
X Liu, S Zhang, L Shao, C Sun, B Li, W Wei, Z Ying, Z Liu, J Tian
The Innovation Medicine, 100069-1-100069-12, 2024
2024
Abstract P2-12-11: Multi-omics fusion for prediction of response to neoadjuvant therapy in breast cancer with external validation
B Li, T Zhu, Z Liu, K Wang, J Tian
Cancer Research 82 (4_Supplement), P2-12-11-P2-12-11, 2022
2022
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