Jiangxiong Fang

According to our database, Jiangxiong Fang authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Jun Yu

Inf. Fusion, April, 2024

MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection.

Shiqing Zhang, Xingnan Zhang, Xiaoming Zhao, Jiangxiong Fang, Mingyue Niu, Ziping Zhao, Jun Yu, Qi Tian

IEEE Trans. Affect. Comput., 2024

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

2023

BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification.

Xiaoming Zhao, Yuehui Liao, Jiahao Xie, Xiaxia He, Shiqing Zhang, Guoyu Wang, Jiangxiong Fang, Hongsheng Lu, Jun Yu

Comput. Biol. Medicine, September, 2023

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

2022

Response map evaluation for RGBT tracking.

Yong Wang, Xian Wei, Xuan Tang, Jingjing Wu, Jiangxiong Fang

Neural Comput. Appl., 2022

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

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

Localised edge-region-based active contour for medical image segmentation.

Huaxiang Liu, Jiangxiong Fang, Zijian Zhang, Yongcheng Lin

IET Image Process., 2021

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

2020

A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force.

Huaxiang Liu, Jiangxiong Fang, Zijian Zhang, Yongcheng Lin

IEEE Access, 2020

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

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

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

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

2012

Parametric kernel-driven active contours for image segmentation.

Qiongzhi Wu, Jiangxiong Fang

J. Electronic Imaging, 2012