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2020 – today
- 2024
[j11]Zhaoshuo Diao, Huiyan Jiang
:
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features. Comput. Biol. Medicine 174: 108461 (2024)- [i1]Shaojie Li, Zhaoshuo Diao:
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis. CoRR abs/2409.11817 (2024) - 2023
- [j10]Xiaolin Zhu, Huiyan Jiang, Zhaoshuo Diao:
CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network. Comput. Biol. Medicine 153: 106534 (2023) - [j9]Yang Zhou, Huiyan Jiang, Zhaoshuo Diao, Guoyu Tong, Qiu Luan, Yaming Li, Xuena Li:
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images. Comput. Biol. Medicine 153: 106538 (2023) - [j8]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) - [j7]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) - [j6]Zhaoshuo Diao, Huiyan Jiang, Yang Zhou:
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module. Comput. Medical Imaging Graph. 106: 102217 (2023) - [j5]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) - [j4]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
Siamese semi-disentanglement network for robust PET-CT segmentation. Expert Syst. Appl. 223: 119855 (2023) - [j3]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) - 2022
- [j2]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) - [j1]Huiyan Jiang, Zhaoshuo Diao, Yu-Dong Yao:
Deep learning techniques for tumor segmentation: a review. J. Supercomput. 78(2): 1807-1851 (2022) - [c1]Guangrui Liang, Zhaoshuo Diao, Huiyan Jiang:
Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images. ICVARS 2022: 50-55
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