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Tianyu Shi

ORCID: 0000-0002-2892-8906
Observed ORCID: 0000-0002-2892-8906
OpenAlex ID: A5047682939
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
2023 · Huiyan Jiang, Zhaoshuo Diao, et al. · Computers in Biology and Medicine · 264
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes
2019 · Huiyan Jiang, Tianyu Shi, et al. · IEEE Access · 165
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C 2 MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans
2021 · Tianyu Shi, Huiyan Jiang, et al. · IEEE Transactions on Biomedical Engineering · 65
EFNet: evidence fusion network for tumor segmentation from PET-CT volumes
2021 · Zhaoshuo Diao, Huiyan Jiang, et al. · Physics in Medicine and Biology · 34
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A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation
2020 · Tianyu Shi, Huiyan Jiang, et al. · Computer Methods and Programs in Biomedicine · 27
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity
2022 · Zhaoshuo Diao, Huiyan Jiang, et al. · Knowledge-Based Systems · 24
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans
2023 · Tianyu Shi, Huiyan Jiang, et al. · IEEE Journal of Biomedical and Health Informatics · 22
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation
2023 · Yuanquan Hao, Huiyan Jiang, et al. · Computers in Biology and Medicine · 21
Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors
2022 · Min Luo, Huiyan Jiang, et al. · Computers in Biology and Medicine · 20
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation
2022 · Meng Wang, Huiyan Jiang, et al. · IEEE Journal of Biomedical and Health Informatics · 18
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET–CT Volumes
2023 · Zhaoshuo Diao, Huiyan Jiang, et al. · Engineering Applications of Artificial Intelligence · 15
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
2023 · Guoyu Tong, Huiyan Jiang, et al. · IEEE Journal of Biomedical and Health Informatics · 14
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation
2022 · Meng Wang, Huiyan Jiang, et al. · Computers in Biology and Medicine · 13
ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module
2022 · Junzhi Zhang, Huiyan Jiang, et al. · Computers in Biology and Medicine · 9
Siamese semi-disentanglement network for robust PET-CT segmentation
2023 · Zhaoshuo Diao, Huiyan Jiang, et al. · Expert Systems with Applications · 5
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement
2021 · Zexu Zhang, Huiyan Jiang, et al. · Computers in Biology and Medicine · 5
Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021 Phys. Med. Biol. 66 205005)
2021 · Zhaoshuo Diao, Huiyan Jiang, et al. · Physics in Medicine and Biology · 2
Real-Time Fire Escape Path Guidance System through YOLO11 and Dynamic A* Algorithm
2026 · Jun Ang, Lei Guo, et al. · AI Engineering
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LUMF: A Deep Learning Based Accurate and Robust Liver Uptake Measurement Framework for SUV Evaluation in Whole-Body PET/CT Images
2026 · Yarong Feng, Yongwei Tang, et al. · International Joint Conference on Neural Networks (IJCNN)
MCA-UNet: A Multi-Center Adaptive U-Net for Improved Tumor Segmentation in Multi-Center PET/CT Images
2026 · Meng Wang, Yongwei Tang, et al. · International Joint Conference on Neural Networks (IJCNN)
UDCP: Uncertainty Driven Context-prompted nnUNet for Tertiary Lymphoid Structure Segmentation in H&E Images
2026 · Meng Wang, Yuxin Liang, et al. · International Joint Conference on Neural Networks (IJCNN)
Global-Local nnUNet with Anatomical-Metabolic Statistical Priors for Improved PET/CT based Whole Body Lymphoma Segmentation
2026 · Meng Wang, Yarong Feng, et al. · International Joint Conference on Neural Networks (IJCNN)
DiffAFCA-Net: A Diffusion-Based Framework for Cervical Precancerous Cell Classification with Adaptive Fine-Grained Channel Attention
2026 · Tianyu Shi, Xu Ma, et al. · International Joint Conference on Neural Networks (IJCNN)
Conditional Dual-Branch Diffusion Network for Cervical Cell Nucleus Segmentation in Cancer Diagnostics
2026 · Jia Tang, Yan Zhang, et al. · Smart innovation, systems and technologies
Works count: 24
Citation count: 723
H-index: 13
I10-index: 13
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