A Transformer-based Network for Pathology Image Classification. - Meidan Ding; Aiping Qu; Haiqin Zhong; Hao Liang (BIBM, 2021)

A Modified Convolutional Neural Network for Nuclei Classification in Histopathology Image. - Haiqin Zhong; Aiping Qu; Hao Liang; Meidan Ding (BIBM, 2021)

A region-based convolutional network for nuclei detection and segmentation in microscopy images. - Hao Liang; Zhiming Cheng; Haiqin Zhong; Aiping Qu; Lingna Chen (Biomed. Signal Process. Control., 2022)

A scale and region-enhanced decoding network for nuclei classification in histology image. - Shuomin Xiao; Aiping Qu; Haiqin Zhong; Penghui He (Biomed. Signal Process. Control., 2023)

An enhanced vision transformer with wavelet position embedding for histopathological image classification. - Meidan Ding; Aiping Qu; Haiqin Zhong; Zhihui Lai 001; Shuomin Xiao; Penghui He (Pattern Recognit., 2023)

EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model. - Meidan Ding; Jipeng Zhang; Wenxuan Wang 001; Haiqin Zhong; Xiaoqin Wang; Xinheng Lyu; Wenting Chen; Linlin Shen (ACL (1), 2025)

MSMMIL: Multi-scan Mamba-based Multiple Instance Learning for whole slide image classification. - Haiqin Zhong; Meidan Ding; Cheng Zhao 003; Yongtao Zhang; Tianfu Wang 001; Baiying Lei (Knowl. Based Syst., 2025)