Correction of Simple Contrast Loss in Color Images. - John P. Oakley; Hong Bu (IEEE Trans. Image Process., 2007)

A Level Set Method for Gland Segmentation. - Chen Wang; Hong Bu; Ji Bao; Chunming Li (CVPR Workshops, 2017)

Gland segmentation guided by glandular structures: A level set framework with two levels. - Chen Wang; Ji Bao; Hong Bu (ICIP, 2017)

Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm. - Libo Yang; Bo Fu 007; Yan Li; Yueping Liu; Wenting Huang; Sha Feng; Lin Xiao; Linyong Sun; Li Deng 001; Xinyi Zheng; Feng Ye; Hong Bu (Comput. Methods Programs Biomed., 2020)

Blind deblurring for microscopic pathology images using deep learning networks. - Cheng Jiang 001; Jun Liao; Pei Dong; Zhaoxuan Ma; De Cai; Guoan Zheng; Yueping Liu; Hong Bu; Jianhua Yao 001 (CoRR, 2020)

An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma. - Min Feng; Jie Chen; Xuhui Xiang; Yang Deng; Yanyan Zhou; Zhang Zhang; Zhongxi Zheng; Ji Bao; Hong Bu (IEEE Access, 2021)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer. - Yongquan Yang; Jie Chen; Yani Wei; Mohammad Alobaidi; Hong Bu (CoRR, 2023)

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer. - Yongquan Yang; Fengling Li; Yani Wei; Yuanyuan Zhao; Jing Fu; Xiuli Xiao; Hong Bu (CoRR, 2023)

Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels. - Yongquan Yang; Hong Bu (CoRR, 2023)

Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. - Bao Li; Zhenyu Liu; Lizhi Shao; Bensheng Qiu; Hong Bu; Jie Tian 001 (AAAI, 2024)

Exponential distance transform maps for cell localization. - Bo Li 128; Jie Chen; Hang Yi; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (Eng. Appl. Artif. Intell., 2024)

One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer. - Yongquan Yang; Fengling Li; Yani Wei; Jie Chen; Ning Chen; Mohammad Alobaidi; Hong Bu (Expert Syst. Appl., 2024)

Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. - Chengyang Zhang; Jie Chen; Bo Li 128; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (IEEE J. Biomed. Health Informatics, 2024)

Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner. - Wenchuan Zhang; Penghao Zhang; Jingru Guo; Tao Cheng; Jie Chen; Shuwan Zhang; Zhang Zhang; Yuhao Yi; Hong Bu (CoRR, 2025)

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning. - Chen Shu; Boyu Fu; Yiman Li; Ting Yin; Wenchuan Zhang; Jie Chen; Yuhao Yi; Hong Bu (CoRR, 2025)

Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning. - Wenchuan Zhang; Jingru Guo; Hengzhe Zhang; Penghao Zhang; Jie Chen; Shuwan Zhang; Zhang Zhang; Yuhao Yi; Hong Bu (CoRR, 2025)