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ORCIDTianyu Shi 0002
Person information
- affiliation: Shenyang Ligong University, Shenyang, Liaoning, China
Other persons with the same name
- Tianyu Shi — disambiguation page
- Tianyu Shi 0001
![[0009-0006-5274-1101]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0006-5274-1101")
— Huaqiao University, Quanzhou, Fujian - Tianyu Shi 0003 — University of Toronto, Toronto, ON, Canada
- Tianyu Shi 0004 — Changzhou University, Changzhou, Jiangsu, China
- Tianyu Shi 0005 — Nanjing University of Science and Technology, Nanjing, China
- Tianyu Shi 0006 — Southwest Jiaotong University, Chengdu, China
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2020 – today
- 2023
[j16]Junzhi Zhang, Huiyan Jiang, Tianyu Shi:
ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module. Comput. Biol. Medicine 152: 106363 (2023)- [j15]Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yu-Dong Yao:
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation. Comput. Biol. Medicine 157: 106726 (2023) - [j14]Yuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Haojiang Li, Weijing Zhang:
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. Comput. Biol. Medicine 159: 106956 (2023) - [j13]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi:
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes. Eng. Appl. Artif. Intell. 121: 105955 (2023) - [j12]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
Siamese semi-disentanglement network for robust PET-CT segmentation. Expert Syst. Appl. 223: 119855 (2023) - [j11]Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(2): 1048-1059 (2023) - [j10]Tianyu Shi, Huiyan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yu-Dong Yao:
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans. IEEE J. Biomed. Health Informatics 27(5): 2465-2476 (2023) - [j9]Guoyu Tong, Huiyan Jiang, Tianyu Shi, Xian-Hua Han, Yu-Dong Yao:
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4878-4889 (2023) - 2022
- [j8]Min Luo, Huiyan Jiang, Tianyu Shi:
Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors. Comput. Biol. Medicine 145: 105506 (2022) - [j7]Meng Wang, Huiyan Jiang, Tianyu Shi, Zhiguo Wang, Jia Guo, Guoxiu Lu, Youchao Wang, Yu-Dong Yao:
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation. Comput. Biol. Medicine 151(Part): 106215 (2022) - [j6]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi:
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity. Knowl. Based Syst. 246: 108739 (2022) - [j5]Tianyu Shi, Huiyan Jiang, Bin Zheng:
C2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. IEEE Trans. Biomed. Eng. 69(1): 108-118 (2022) - [j4]Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation. IEEE J. Biomed. Health Informatics 26(3): 1116-1127 (2022) - 2021
- [j3]Zexu Zhang, Huiyan Jiang, Jiaji Liu, Tianyu Shi:
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement. Comput. Biol. Medicine 138: 104885 (2021) - 2020
- [j2]Tianyu Shi, Huiyan Jiang, Bin Zheng:
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation. Comput. Methods Programs Biomed. 197: 105678 (2020)
2010 – 2019
- 2019
- [j1]Huiyan Jiang, Tianyu Shi, Zhiqi Bai, Liangliang Huang:
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes. IEEE Access 7: 24898-24909 (2019)
Coauthor Index
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