Breast DCE-MRI radiomics: a robust computer-aided system based on reproducible BI-RADS features across the influence of datasets bias and segmentation methods. - Mengyun Qiao; Chengkang Li; Shiteng Suo; Fang Cheng; Jia Hua; Dan Xue; Yi Guo 002; Jianrong Xu; Yuanyuan Wang 001 (Int. J. Comput. Assist. Radiol. Surg., 2020)

Automatic Recognition of Communication Signal Modulation Based on the Multiple-Parallel Complex Convolutional Neural Network. - Zhen Huang; Chengkang Li; Qiang Lv; Rijian Su; Kaibo Zhou (Wirel. Commun. Mob. Comput., 2021)

Multi-Dimensional Cascaded Net with Uncertain Probability Reduction for Abdominal Multi-Organ Segmentation in CT Sequences. - Chengkang Li; Yishen Mao; Yi Guo 002; Ji Li; Yuanyuan Wang 001 (Comput. Methods Programs Biomed., 2022)

FCTformer: Fusing Convolutional Operations and Transformer for 3D Rectal Tumor Segmentation in MR Images. - Zhenguo Sang; Chengkang Li; Ye Xu; Yuanyuan Wang 001; Hongtu Zheng; Yi Guo 002 (IEEE Access, 2024)

Deep causal learning for pancreatic cancer segmentation in CT sequences. - Chengkang Li; Yishen Mao; Shuyu Liang; Ji Li; Yuanyuan Wang 001; Yi Guo 002 (Neural Networks, 2024)

DEDA: Network with dual attentions for enhancing 3D pancreas segmentation in non-contrast CT images. - Chunlei Chen; Chengkang Li; Yishen Mao; Ji Li; Yuanyuan Wang 001; Yi Guo 002 (Biomed. Signal Process. Control., 2025)