RGA-Unet: An improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image segmentation. - Siyi Xun; Yan Zhang; Sixu Duan; Huachao Chen; Mingwei Wang; Jiangang Chen; Tao Tan (CSSE, 2022)

Generative adversarial networks in medical image segmentation: A review. - Siyi Xun; Dengwang Li; Hui Zhu; Min Chen; Jianbo Wang; Jie Li 083; Meirong Chen; Bing Wu; Hua Zhang; Xiangfei Chai; Zekun Jiang; Yan Zhang; et al. (Comput. Biol. Medicine, 2022)

Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification. - Siyi Xun; Mingfeng Jiang; Pu Huang; Yue Sun; Dengwang Li; Yan Luo; Huifen Zhang; Zhicheng Zhang; Xiaohong Liu 001; Mingxiang Wu; Tao Tan 002 (Displays, 2024)

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. - Siyi Xun; Yan Zhang; Sixu Duan; Mingwei Wang; Jiangang Chen; Tong Tong 001; Qinquan Gao; Chan-Tong Lam; Menghan Hu; Tao Tan 002 (Virtual Real. Intell. Hardw., 2024)

Charting the path forward: CT image quality assessment - an in-depth review. - Siyi Xun; Qiaoyu Li; Xiaohong Liu 001; Pu Huang; Guangtao Zhai; Yue Sun; Peter H. N. de With; Mingxiang Wu; Tao Tan 002 (J. King Saud Univ. Comput. Inf. Sci., 2025)

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment. - Siyi Xun; Yue Sun; Jingkun Chen; Zitong Yu; Tong Tong 001; Xiaohong Liu 001; Mingxiang Wu; Tao Tan 002 (CoRR, 2025)