Zhaoshuo Diao

According to our database, Zhaoshuo Diao authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis.

Shaojie Li, Zhaoshuo Diao

CoRR, 2024

A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.

Zhaoshuo Diao, Huiyan Jiang

Comput. Biol. Medicine, 2024

2023

Siamese semi-disentanglement network for robust PET-CT segmentation.

Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao

Expert Syst. Appl., August, 2023

Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module.

Zhaoshuo Diao, Huiyan Jiang, Yang Zhou

Comput. Medical Imaging Graph., June, 2023

MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.

Yuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Haojiang Li, Weijing Zhang

Comput. Biol. Medicine, June, 2023

Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.

Tianyu Shi, Huiyan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yu-Dong Yao

IEEE J. Biomed. Health Informatics, May, 2023

A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes.

Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi

Eng. Appl. Artif. Intell., May, 2023

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

Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yu-Dong Yao

Comput. Biol. Medicine, May, 2023

CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network.

Xiaolin Zhu, Huiyan Jiang, Zhaoshuo Diao

Comput. Biol. Medicine, February, 2023

MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.

Yang Zhou, Huiyan Jiang, Zhaoshuo Diao, Guoyu Tong, Qiu Luan, Yaming Li, Xuena Li

Comput. Biol. Medicine, February, 2023

2022

Deep learning techniques for tumor segmentation: a review.

Huiyan Jiang, Zhaoshuo Diao, Yu-Dong Yao

J. Supercomput., 2022

A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity.

Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi

Knowl. Based Syst., 2022

Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images.

Guangrui Liang, Zhaoshuo Diao, Huiyan Jiang

Proceedings of the ICVARS 2022: The 6th International Conference on Virtual and Augmented Reality Simulations, Brisbane, QLD, Australia, March 25, 2022