Hong Bu - RankMe

19 papers A* 3B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning. AAAI Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2026	A*	`conf`	Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner. AAAI Wenchuan Zhang, Penghao Zhang, Jingru Guo, Tao Cheng, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2025	J	`jnl`	Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning. CoRR Chen Shu, Boyu Fu, Yiman Li, Ting Yin, Wenchuan Zhang, Jie Chen, Yuhao Yi, Hong Bu
2025	J	`jnl`	Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning. CoRR Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2025	J	`jnl`	Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner. CoRR Wenchuan Zhang, Penghao Zhang, Jingru Guo, Tao Cheng, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2024	J	`jnl`	Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. IEEE J. Biomed. Health Informatics Chengyang Zhang, Jie Chen, Bo Li, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu
2024	J	`jnl`	Exponential distance transform maps for cell localization. Eng. Appl. Artif. Intell. Bo Li, Jie Chen, Hang Yi, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu
2024	J	`jnl`	One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer. Expert Syst. Appl. Yongquan Yang, Fengling Li, Yani Wei, Jie Chen, Ning Chen, Mohammad Alobaidi, Hong Bu
2024	A*	`conf`	Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian
2023	J	`jnl`	Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer. CoRR Yongquan Yang, Fengling Li, Yani Wei, Yuanyuan Zhao, Jing Fu, Xiuli Xiao, Hong Bu
2023	J	`jnl`	Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer. CoRR Yongquan Yang, Jie Chen, Yani Wei, Mohammad Alobaidi, Hong Bu
2023	J	`jnl`	Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. CoRR Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian
2023	J	`jnl`	Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels. CoRR Yongquan Yang, Hong Bu
2021	J	`jnl`	An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma. IEEE Access Min Feng, Jie Chen, Xuhui Xiang, Yang Deng, Yanyan Zhou, Zhang Zhang, Zhongxi Zheng, Ji Bao, Hong Bu
2020	J	`jnl`	Blind deblurring for microscopic pathology images using deep learning networks. CoRR Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao
2020	J	`jnl`	Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm. Comput. Methods Programs Biomed. Libo Yang, Bo Fu, Yan Li, Yueping Liu, Wenting Huang, Sha Feng, Lin Xiao, Linyong Sun, Li Deng, Xinyi Zheng, Feng Ye, Hong Bu
2017	—	`conf`	A Level Set Method for Gland Segmentation. CVPR Workshops Chen Wang, Hong Bu, Ji Bao, Chunming Li
2017	B	`conf`	Gland segmentation guided by glandular structures: A level set framework with two levels. ICIP Chen Wang, Ji Bao, Hong Bu
2007	J	`jnl`	Correction of Simple Contrast Loss in Color Images. IEEE Trans. Image Process. John P. Oakley, Hong Bu