Zhaoshuo Diao

Orcid: 0000-0002-3956-4124

According to our database1, Zhaoshuo Diao authored at least 11 papers between 2022 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Siamese semi-disentanglement network for robust PET-CT segmentation.
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.
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.
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

CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network.
Comput. Biol. Medicine, February, 2023

MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Comput. Biol. Medicine, February, 2023

2022
Deep learning techniques for tumor segmentation: a review.
J. Supercomput., 2022

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

Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images.
Proceedings of the ICVARS 2022: The 6th International Conference on Virtual and Augmented Reality Simulations, Brisbane, QLD, Australia, March 25, 2022


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