Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks. - Zeyi Yao; Kaiqi Li; Yiwen Luo; Xiaoguang Zhou; Muyi Sun; Guanhong Zhang (ICPR, 2020)

Retinal Blood Vessel Segmentation via Attention Gate Network. - Kaiqi Li; Zeyi Yao; Yiwen Luo; Xingqun Qi; Pengkun Liu; Zijian Wang 009 (ISAIMS, 2020)

Deep Attention and Multi-Scale Networks for Accurate Remote Sensing Image Segmentation. - Xingqun Qi; Kaiqi Li; Pengkun Liu; Xiaoguang Zhou; Muyi Sun (IEEE Access, 2020)

Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images. - Muyi Sun; Kaiqi Li; Xingqun Qi; Hao Dang; Guanhong Zhang (J. Vis. Commun. Image Represent., 2021)

Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks. - Kaiqi Li; Xingqun Qi; Yiwen Luo; Zeyi Yao; Xiaoguang Zhou; Muyi Sun (IEEE J. Biomed. Health Informatics, 2021)

DeepTAPE: Enhancing Systemic Lupus Erythematosus Diagnosis with Deep Learning Based on TCRβ CDR3 Sequences. - Tongfei Shen; Miaozhe Huo; Wan Nie; Kaiqi Li; Ziwei Ma; Xikang Feng; Shuai Cheng Li (BIBM, 2024)

Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images. - Jiuchen Chen; Xinyu Yan 002; Qizhi Xu; Kaiqi Li (CVPR, 2025)

A Method to Reduce the Misclassification of Forest Change Detection Based on High-Resolution Images. - Kaiqi Li; Jiawei Jiang; Enping Yan; Dengkui Mo (IEEE Geosci. Remote. Sens. Lett., 2025)

DecloudFormer: Quest the key to consistent thin cloud removal of wide-swath multi-spectral images. - Mingkai Li; Qizhi Xu; Kaiqi Li; Wei Li (Pattern Recognit., 2025)