X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. - Kehan Qi; Hao Yang 026; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. - Hao Yang 026; Weijian Huang; Kehan Qi; Cheng Li 008; Xinfeng Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (3), 2019)

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. - Xinfeng Liu; Hao Yang 026; Kehan Qi; Pei Dong; Qiegen Liu; Xin Liu 053; Rongpin Wang; Shanshan Wang 002 (IEEE Access, 2019)

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning. - Kehan Qi; Yu Gong; Xinfeng Liu; Xin Liu 053; Hairong Zheng; Shanshan Wang 002 (CoRR, 2020)

FRORS: An Effective Fine-Grained Retrieval Framework for Optical Remote Sensing Images. - Yongqiang Mao; Zhizhuo Jiang; Yu Liu 005; Yiming Zhang; Kehan Qi; Hanbo Bi; You He (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Efficient Whole Slide Pathology VQA via Token Compression. - Weimin Lyu; Qingqiao Hu; Kehan Qi; Zhan Shi; Wentao Huang; Saumya Gupta; Chao Chen (CoRR, 2025)