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Hong Bu
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2020 – today
- 2024
- [j6]Bo Li, Jie Chen, Hang Yi, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu:
Exponential distance transform maps for cell localization. Eng. Appl. Artif. Intell. 132: 107948 (2024) - [j5]Yongquan Yang, Fengling Li, Yani Wei, Jie Chen, Ning Chen, Mohammad Alobaidi, Hong Bu:
One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer. Expert Syst. Appl. 251: 123923 (2024) - [j4]Chengyang Zhang, Jie Chen, Bo Li, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu:
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. IEEE J. Biomed. Health Informatics 28(1): 355-366 (2024) - [c3]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI 2024: 3000-3008 - 2023
- [i5]Yongquan Yang, Jie Chen, Yani Wei, Mohammad Alobaidi, Hong Bu:
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer. CoRR abs/2304.07295 (2023) - [i4]Yongquan Yang, Fengling Li, Yani Wei, Yuanyuan Zhao, Jing Fu, Xiuli Xiao, Hong Bu:
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer. CoRR abs/2306.10805 (2023) - [i3]Yongquan Yang, Hong Bu:
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels. CoRR abs/2307.02709 (2023) - [i2]Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. CoRR abs/2312.06454 (2023) - 2021
- [j3]Min Feng, Jie Chen, Xuhui Xiang, Yang Deng, Yanyan Zhou, Zhang Zhang, Zhongxi Zheng, Ji Bao, Hong Bu:
An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma. IEEE Access 9: 108441-108451 (2021) - 2020
- [j2]Libo Yang, Bo Fu, Yan Li, Yueping Liu, Wenting Huang, Sha Feng, Lin Xiao, Linyong Sun, Li Deng, Xinyi Zheng, Feng Ye, Hong Bu:
Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm. Comput. Methods Programs Biomed. 192: 105458 (2020) - [i1]Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao:
Blind deblurring for microscopic pathology images using deep learning networks. CoRR abs/2011.11879 (2020)
2010 – 2019
- 2017
- [c2]Chen Wang, Hong Bu, Ji Bao, Chunming Li:
A Level Set Method for Gland Segmentation. CVPR Workshops 2017: 865-873 - [c1]Chen Wang, Ji Bao, Hong Bu:
Gland segmentation guided by glandular structures: A level set framework with two levels. ICIP 2017: 2154-2158
2000 – 2009
- 2007
- [j1]John P. Oakley, Hong Bu:
Correction of Simple Contrast Loss in Color Images. IEEE Trans. Image Process. 16(2): 511-522 (2007)
Coauthor Index
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