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Journal Articles
- 2024
[j16]Huaxiang Liu, Jie Yang
, Chao Jiang, Sailing He, Youyao Fu, Shiqing Zhang, Xudong Hu, Jiangxiong Fang, Wenbin Ji:
S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images. Comput. Biol. Medicine 174: 108400 (2024)- [j15]Huiting Fan, Xingnan Zhang, Yingying Xu, Jiangxiong Fang, Shiqing Zhang, Xiaoming Zhao, Jun Yu:
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals. Inf. Fusion 104: 102161 (2024) - [j14]Shiqing Zhang, Xingnan Zhang, Xiaoming Zhao, Jiangxiong Fang, Mingyue Niu, Ziping Zhao, Jun Yu, Qi Tian:
MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection. IEEE Trans. Affect. Comput. 15(3): 1078-1089 (2024) - 2023
- [j13]Huaxiang Liu, Youyao Fu, Shiqing Zhang, Jun Liu, Yong Wang, Guoyu Wang, Jiangxiong Fang:
GCHA-Net: Global context and hybrid attention network for automatic liver segmentation. Comput. Biol. Medicine 152: 106352 (2023) - [j12]Xiaoming Zhao, Yuehui Liao, Jiahao Xie, Xiaxia He, Shiqing Zhang, Guoyu Wang, Jiangxiong Fang, Hongsheng Lu, Jun Yu:
BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification. Comput. Biol. Medicine 164: 107255 (2023) - 2022
- [j11]Huaxiang Liu, Youyao Fu, Shiqing Zhang, Jun Liu, Jiangxiong Fang:
Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image segmentation. IET Image Process. 16(14): 3929-3947 (2022) - [j10]Yong Wang, Xian Wei, Xuan Tang, Jingjing Wu, Jiangxiong Fang:
Response map evaluation for RGBT tracking. Neural Comput. Appl. 34(7): 5757-5769 (2022) - 2021
- [j9]Jiangxiong Fang, Huaxiang Liu, Jun Liu, Haiying Zhou, Liting Zhang, Hesheng Liu:
Fuzzy region-based active contour driven by global and local fitting energy for image segmentation. Appl. Soft Comput. 100: 106982 (2021) - [j8]Huaxiang Liu, Jiangxiong Fang, Zijian Zhang, Yongcheng Lin:
Localised edge-region-based active contour for medical image segmentation. IET Image Process. 15(7): 1567-1582 (2021) - [j7]Jiangxiong Fang, Huaxiang Liu, Liting Zhang, Jun Liu, Hesheng Liu:
Region-edge-based active contours driven by hybrid and local fuzzy region-based energy for image segmentation. Inf. Sci. 546: 397-419 (2021) - 2020
- [j6]Huaxiang Liu, Jiangxiong Fang, Zijian Zhang, Yongcheng Lin:
A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force. IEEE Access 8: 59412-59426 (2020) - 2019
- [j5]Jiangxiong Fang, Huaxiang Liu, Liting Zhang, Jun Liu, Hesheng Liu:
Active Contour Driven by Weighted Hybrid Signed Pressure Force for Image Segmentation. IEEE Access 7: 97492-97504 (2019) - [j4]Jiangxiong Fang, Huaxiang Liu, Liting Zhang, Jun Liu, Hesheng Liu:
Fuzzy Region-Based Active Contours Driven by Weighting Global and Local Fitting Energy. IEEE Access 7: 184518-184536 (2019) - 2016
- [j3]Jiangxiong Fang, Hesheng Liu, Huaxiang Liu, Liting Zhang, Jun Liu, Huaiqiang Zhang, Congxin Liu:
Multiresolution convex variational model for multiphase image segmentation. Comput. Electr. Eng. 54: 230-245 (2016) - [j2]Jiangxiong Fang, Hesheng Liu, Huaxiang Liu, Liting Zhang, Jun Liu:
Localized Patch-Based Fuzzy Active Contours for Image Segmentation. Comput. Math. Methods Medicine 2016: 1064692:1-1064692:14 (2016) - 2012
- [j1]Qiongzhi Wu, Jiangxiong Fang:
Parametric kernel-driven active contours for image segmentation. J. Electronic Imaging 21(4): 043015 (2012)
Coauthor Index
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