Tianyu Shi

Orcid: 0000-0002-2892-8906

Affiliations:
  • Shenyang Ligong University, Shenyang, Liaoning, China


According to our database1, Tianyu Shi authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Triplet-branch diffusion model with conditional guidance and boundary enhancement for cervical nucleus segmentation.
Biomed. Signal Process. Control., 2026

Dual GANs with contextual-dropout and pairwise-terms constraints for dual-phase CT scan synthesis in rectal cancer.
Biomed. Signal Process. Control., 2026

CAD-Net: a cross-phase attention-driven dual-task network for automated rectal cancer segmentation and lymph node metastasis diagnosis in dual-phase CT imaging.
Biomed. Signal Process. Control., 2026

2023
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023

Siamese semi-disentanglement network for robust PET-CT segmentation.
Expert Syst. Appl., August, 2023

MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine, June, 2023

Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
IEEE J. Biomed. Health Informatics, May, 2023

A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes.
Eng. Appl. Artif. Intell., May, 2023

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Comput. Biol. Medicine, May, 2023

SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation.
IEEE J. Biomed. Health Informatics, February, 2023

ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module.
Comput. Biol. Medicine, 2023

2022
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation.
IEEE J. Biomed. Health Informatics, 2022

C<sup>2</sup>MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans.
IEEE Trans. Biomed. Eng., 2022

A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity.
Knowl. Based Syst., 2022

PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation.
Comput. Biol. Medicine, 2022

Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors.
Comput. Biol. Medicine, 2022

2021
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement.
Comput. Biol. Medicine, 2021

2020
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Comput. Methods Programs Biomed., 2020

2019
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes.
IEEE Access, 2019


  Loading...