Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI. - Zhiqin Zhu; Xianyu He; Guanqiu Qi; Yuanyuan Li; Baisen Cong; Yu Liu 023 (Inf. Fusion, 2023)

Medical image segmentation method based on multi-feature interaction and fusion over cloud computing. - Xianyu He; Guanqiu Qi; Zhiqin Zhu; Yuanyuan Li; Baisen Cong; Litao Bai (Simul. Model. Pract. Theory, 2023)

Associative learning mechanism for drug-target interaction prediction. - Zhiqin Zhu; Zheng Yao; Guanqiu Qi; Neal Mazur; Pan Yang; Baisen Cong (CAAI Trans. Intell. Technol., 2023)

Drug-target affinity prediction method based on multi-scale information interaction and graph optimization. - Zhiqin Zhu; Zheng Yao; Xin Zheng; Guanqiu Qi; Yuanyuan Li; Neal Mazur; Xinbo Gao 001; Yifei Gong; Baisen Cong (Comput. Biol. Medicine, 2023)

Lightweight medical image segmentation network with multi-scale feature-guided fusion. - Zhiqin Zhu; Kun Yu; Guanqiu Qi; Baisen Cong; Yuanyuan Li; Zexin Li; Xinbo Gao 001 (Comput. Biol. Medicine, 2024)

Drug-target binding affinity prediction model based on multi-scale diffusion and interactive learning. - Zhiqin Zhu; Xin Zheng; Guanqiu Qi; Yifei Gong; Yuanyuan Li; Neal Mazur; Baisen Cong; Xinbo Gao 001 (Expert Syst. Appl., 2024)

Drug-target affinity prediction using rotary encoding and information retention mechanisms. - Zhiqin Zhu; Yan Ding; Guanqiu Qi; Baisen Cong; Yuanyuan Li; Litao Bai; Xinbo Gao 001 (Eng. Appl. Artif. Intell., 2025)