Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images. - Guangrui Liang; Zhaoshuo Diao; Huiyan Jiang (ICVARS, 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)

Deep learning techniques for tumor segmentation: a review. - Huiyan Jiang; Zhaoshuo Diao; Yu-Dong Yao (J. Supercomput., 2022)

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, 2023)

CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network. - Xiaolin Zhu; Huiyan Jiang; Zhaoshuo Diao (Comput. Biol. Medicine, 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, 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., 2023)

Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans. - Tianyu Shi; Huiyan Jiang; Meng Wang 029; Zhaoshuo Diao; Guoxu Zhang; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 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, 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., 2023)

Siamese semi-disentanglement network for robust PET-CT segmentation. - Zhaoshuo Diao; Huiyan Jiang; Tianyu Shi; Yu-Dong Yao (Expert Syst. Appl., 2023)

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)

EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis. - Shaojie Li; Zhaoshuo Diao (CoRR, 2024)

An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images. - Zhaoshuo Diao; Huiyan Jiang (Eng. Appl. Artif. Intell., 2025)

Learnable confidence-driven asymmetric attention fusion mechanism for PET/CT tumor segmentation. - Zhaoshuo Diao; Yan Zhang; Yang Xu; Xi Chen; Zongzhe Sun (J. Supercomput., 2025)

Mitigating label noise impact: A plug-and-play RECIST-based iterative label refinement teacher-student learning paradigm for medical image segmentation. - Zhaoshuo Diao; Yan Zhang; Ye Yuan; Qian Wang; Ying Zhang; Yue Gao (Pattern Recognit., 2026)