Iris Segmentation Based on Improved U-Net Network Model. - Chunhui Gao; Guorui Feng; Yanli Ren; Lizhuang Liu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

A generative adversarial network for image denoising. - Yue Zhong; Lizhuang Liu; Dan Zhao; Hongyang Li (Multim. Tools Appl., 2020)

Exploring Contrast Multi-Attribute Representation With Deep Network for No-Reference Perceptual Quality Assessment. - Xiaodong Yang 005; Zhenqi Han; Yedong Wang; Lizhuang Liu; Dan Zhao (IEEE Signal Process. Lett., 2022)

EU-Net: Efficient Dense Skip-Connected Autoencoder for Medical Image Segmentation. - Lizhuang Liu; Jiacun Qiu; Ke Wang; Qiao Zhan; Jiaxi Jiang; Zhenqi Han; Jianxin Qiu; Tian Wu; Jinghang Xu; Zheng Zeng (IEEE Access, 2023)

Data-balanced transformer for accelerated ionizable lipid nanoparticles screening in mRNA delivery. - Kun Wu; Xiulong Yang; Zixu Wang; Na Li; Jialu Zhang; Lizhuang Liu (Briefings Bioinform., 2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. - Kun Wu; Zixu Wang; Xiulong Yang; Yangyang Chen 006; Zhenqi Han; Jialu Zhang; Lizhuang Liu (CoRR, 2024)

SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation. - Lizhuang Liu; Kun Wu; Ke Wang; Zhenqi Han; Jianxing Qiu; Qiao Zhan; Tian Wu; Jinghang Xu; Zheng Zeng (PeerJ Comput. Sci., 2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. - Kun Wu; Zixu Wang; Xiulong Yang; Yangyang Chen 006; Fulvio Mastrogiovanni; Jialu Zhang; Lizhuang Liu (Briefings Bioinform., 2025)