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2020 – today
- 2024
[j6]Miao Liao, Shuanhu Di, Yuqian Zhao, Wei Liang, Zhen Yang:
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients. Artif. Intell. Medicine 156: 102961 (2024)- [j5]Miao Liao
, Yan Lu, Xiong Li, Shuanhu Di, Wei Liang, Victor Chang:
An Unsupervised Image Dehazing Method Using Patch-Line and Fuzzy Clustering-Line Priors. IEEE Trans. Fuzzy Syst. 32(6): 3381-3395 (2024) - [c2]Juanxiu Guo, Miao Liao, Shuanhu Di:
SPDFF-Net: Image Dehazing Network Based on Semantic Perception and Dual Feature Fusion. CVDL 2024: 63:1-63:7 - 2023
- [j4]Miao Liao, Zhiwei Chi, Huizhu Wu, Shuanhu Di, Yonghua Hu, Yunyi Li:
Pulmonary Nodule Detection from 3D CT Image with a Two-Stage Network. Int. J. Intell. Syst. 2023: 1-14 (2023) - [j3]Shuan-hu Di, Yu-Qian Zhao, Miao Liao, Fan Zhang, Xiong Li:
TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images. IEEE J. Biomed. Health Informatics 27(3): 1163-1172 (2023) - [c1]Yan Lu, Miao Liao, Shuanhu Di, Yuqian Zhao:
Single Image Dehazing Network Based on Serial Feature Attention. ICANN (3) 2023: 123-135 - 2022
- [j2]Shuan-hu Di, Yuqian Zhao, Miao Liao, Zhen Yang, Ye-zhan Zeng:
Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features. Expert Syst. Appl. 203: 117347 (2022) - 2021
- [j1]Zhen Yang, Yu-qian Zhao, Miao Liao, Shuan-hu Di, Ye-zhan Zeng:
Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts. Biomed. Signal Process. Control. 68: 102670 (2021)
Coauthor Index
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