Parametric kernel-driven active contours for image segmentation. - Qiongzhi Wu; Jiangxiong Fang (J. Electronic Imaging, 2012)

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)

Response map evaluation for RGBT tracking. - Yong Wang 032; Xian Wei; Xuan Tang; Jingjing Wu; Jiangxiong Fang (Neural Comput. Appl., 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)

BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification. - Xiaoming Zhao 002; Yuehui Liao; Jiahao Xie; Xiaxia He; Shiqing Zhang; Guoyu Wang; Jiangxiong Fang; Hongsheng Lu; Jun Yu 002 (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)

MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection. - Shiqing Zhang; Xingnan Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Mingyue Niu; Ziping Zhao 001; Jun Yu 002; Qi Tian 001 (IEEE Trans. Affect. Comput., 2024)

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals. - Huiting Fan; Xingnan Zhang; Yingying Xu; Jiangxiong Fang; Shiqing Zhang; Xiaoming Zhao 002; Jun Yu 002 (Inf. Fusion, 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)

Distribution-Aware Multi-Attention Tri-branch Networks with Feedforward Differential Features for semi-supervised medical image segmentation. - Peilian Shi; Shuchang Zhao; Lin Guo; Dandan Wang; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002 (Expert Syst. Appl., 2025)

Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation. - Zhichao Wang; Lin Guo; Shuchang Zhao; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002; Qi Tian 001 (IEEE J. Biomed. Health Informatics, 2025)