Superinfection Behaviors on Scale-Free Networks with Competing Strains. - Qingchu Wu; Michael Small; Huaxiang Liu (J. Nonlinear Sci., 2013)

Multiresolution convex variational model for multiphase image segmentation. - Jiangxiong Fang; Hesheng Liu; Huaxiang Liu; Liting Zhang; Jun Liu; Huaiqiang Zhang; Congxin Liu (Comput. Electr. Eng., 2016)

Localized Patch-Based Fuzzy Active Contours for Image Segmentation. - Jiangxiong Fang; Hesheng Liu; Huaxiang Liu; Liting Zhang; Jun Liu (Comput. Math. Methods Medicine, 2016)

Active Contour Driven by Weighted Hybrid Signed Pressure Force for Image Segmentation. - Jiangxiong Fang; Huaxiang Liu; Liting Zhang; Jun Liu; Hesheng Liu (IEEE Access, 2019)

Fuzzy Region-Based Active Contours Driven by Weighting Global and Local Fitting Energy. - Jiangxiong Fang; Huaxiang Liu; Liting Zhang; Jun Liu; Hesheng Liu (IEEE Access, 2019)

A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force. - Huaxiang Liu; Jiangxiong Fang; Zijian Zhang 004; Yongcheng Lin (IEEE Access, 2020)

Fuzzy region-based active contour driven by global and local fitting energy for image segmentation. - Jiangxiong Fang; Huaxiang Liu; Jun Liu; Haiying Zhou; Liting Zhang; Hesheng Liu (Appl. Soft Comput., 2021)

Localised edge-region-based active contour for medical image segmentation. - Huaxiang Liu; Jiangxiong Fang; Zijian Zhang 004; Yongcheng Lin (IET Image Process., 2021)

Region-edge-based active contours driven by hybrid and local fuzzy region-based energy for image segmentation. - Jiangxiong Fang; Huaxiang Liu; Liting Zhang; Jun Liu; Hesheng Liu (Inf. Sci., 2021)

Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image segmentation. - Huaxiang Liu; Youyao Fu; Shiqing Zhang; Jun Liu; Jiangxiong Fang (IET Image Process., 2022)

GCHA-Net: Global context and hybrid attention network for automatic liver segmentation. - Huaxiang Liu; Youyao Fu; Shiqing Zhang; Jun Liu; Yong Wang; Guoyu Wang; Jiangxiong Fang (Comput. Biol. Medicine, 2023)

S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images. - Huaxiang Liu; Jie Yang; Chao Jiang; Sailing He; Youyao Fu; Shiqing Zhang; Xudong Hu; Jiangxiong Fang; Wenbin Ji (Comput. Biol. Medicine, 2024)

Symmetric Bi-branch Modality-search Aggregation Network for Multi-modal Liver Segmentation. - Huaxiang Liu; Jie Yang; Jie Jin; Youyao Fu; Shiqing Zhang; Wenbin Ji; Dandan Wang; Jiangxiong Fang (ICASSP, 2025)