刁兆硕｜沈阳工业大学｜学者主页

2026

A Deep Learning Segmentation Method for Analyzing Intraventricular Hemorrhage Secondary to Hypertension

Guoyu Tong, Zhaoshuo Diao

Mathematics

DOI

2026

MFF-Diff: A multi-level feature fusion conditional diffusion model for PET/CT tumor segmentation

Zhaoshuo Diao, Manyu Cui, Ye Yuan, Guoyu Tong, Yen‐Wei Chen

Applied Soft Computing

DOI

2026

CED-Diff: a clinically-experience-driven diffusion model with differentiated feature extraction for head and neck tumour PET/CT segmentation

Ye Yuan, Manyu Cui, Zhaoshuo Diao, Guoyu Tong, Yen-Wei Chen

Physics in Medicine and Biology

DOI

2026

An Experience-Driven Interpretable Multi-Task Model for Segmentation and Classification of Small Cell Lung Cancer and Non-Small Cell Lung Cancer From CT Images

Zhaoshuo Diao, Manyu Cui, Taichang Xu, Ye Yuan, Guoyu Tong, Yue Gao

IEEE Journal of Biomedical and Health Informatics

DOI

2025

A dual-branch pathology-prior attention mechanism based on Swin Transformer for the classification of p16/Ki-67 dual-staining cervical pathological cytology images

E Quanyu, Huiyan Jiang, Guoyu Tong, Zhaoshuo Diao, Xian‐Hua Han, Zhimin Liu

Biomedical Signal Processing and Control

DOI

2025

EISegNet: Enhancing Instrument Segmentation Network via Dual-View Disparity Estimation

Yongming Yang, Zhaoshuo Diao, Ziliang Song, Zhang Sheng-lin, Tiancong Liu, Chengdong Wu, Weiliang Bai, Hao Liu

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells

Yizhou Chen, Huiyan Jiang, Wenbo Pang, Zhaoshuo Diao, Jing Yang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Learnable confidence-driven asymmetric attention fusion mechanism for PET/CT tumor segmentation

Zhaoshuo Diao, Yan Zhang, Yang Y. Xu, Xi Chen, Zongzhe Sun

The Journal of Supercomputing

DOI

2025

An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images

Zhaoshuo Diao, Hui-Yan Jiang

Engineering applications of artificial intelligence

DOI

2024

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

Shaojie Li, Zhaoshuo Diao

arXiv.org

DOI

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, Hui-Yan Jiang

Comput. Biol. Medicine

DOI

2024

CoF-DResNet: Cancer Metastasis Recognition Network based on Dynamic Coordinated Metabolic Attention and Structural Attention.

supShanhong Zhu, Hui-Yan Jiang, Zhaoshuo Diao, Qiu Luan, Ya-Ming Li, Xue-Na Li, Yan Pei

Current Pharmaceutical Biotechnology

DOI

2023

Siamese semi-disentanglement network for robust PET-CT segmentation

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

Expert Systems With Applications，Vol. 223

DOI

2023

面向PET/CT图像的智能化肿瘤分割与分类方法研究

刁兆硕

《东北大学》

2023

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

Zhaoshuo Diao, Hui-Yan Jiang, Yang Zhou

Comput. Medical Imaging Graph.

DOI

2023

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

Yu hao, Hui-Yan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Hao-Jiang Li, Wei-Jing Zhang

Comput. Biol. Medicine

DOI

2023

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

Yang Zhou, Hui-Yan Jiang, Zhaoshuo Diao, Guo-Yu Tong, Qiu Luan, Yaming Li, Xue-Na Li

Comput. Biol. Medicine

DOI

2023

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

Hui-Yan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wen-Rui Hu, Xiaolin Zhu, Shijie Luo, Guo-Yu Tong, Yuan Yao

Comput. Biol. Medicine

DOI

2023

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

Xiaolin Zhu, Hui-Yan Jiang, Zhaoshuo Diao

Comput. Biol. Medicine

DOI

2023

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

Tianyu Shi, Hui-Yan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yuan Yao

IEEE journal of biomedical and health informatics

DOI

2023

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

Zhaoshuo Diao, Hui-Yan Jiang, Tianyu Shi

Engineering applications of artificial intelligence

DOI

2022

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

Guan Liang, Zhaoshuo Diao, Hui-Yan Jiang

International Conference Virtual and Augmented Reality Simulations

DOI

2022

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

Zhaoshuo Diao, Hui-Yan Jiang, Tianyu Shi

Knowledge-Based Systems

DOI

2021

Deep learning techniques for tumor segmentation: a review

Huiyan Jiang, Zhaoshuo Diao, Yu-Dong Yao

Journal of Supercomputing

DOI

2021

EFNet: evidence fusion network for tumor segmentation from PET-CT volumes

Zhaoshuo Diao, Huiyan Jiang, X. Han, Yu-Dong Yao, Tianyu Shi

Physics in Medicine and Biology

DOI

2021

Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021 Phys. Med. Biol. 66 205005)

Zhaoshuo Diao, Huiyan Jiang, X. Han, Yu-Dong Yao, Tianyu Shi

Physics in Medicine and Biology

DOI

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 Recognition

DOI

刁兆硕

精选作品

期刊论文

A Deep Learning Segmentation Method for Analyzing Intraventricular Hemorrhage Secondary to Hypertension

MFF-Diff: A multi-level feature fusion conditional diffusion model for PET/CT tumor segmentation

CED-Diff: a clinically-experience-driven diffusion model with differentiated feature extraction for head and neck tumour PET/CT segmentation

An Experience-Driven Interpretable Multi-Task Model for Segmentation and Classification of Small Cell Lung Cancer and Non-Small Cell Lung Cancer From CT Images

A dual-branch pathology-prior attention mechanism based on Swin Transformer for the classification of p16/Ki-67 dual-staining cervical pathological cytology images

EISegNet: Enhancing Instrument Segmentation Network via Dual-View Disparity Estimation

Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells

Learnable confidence-driven asymmetric attention fusion mechanism for PET/CT tumor segmentation

An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images

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

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

CoF-DResNet: Cancer Metastasis Recognition Network based on Dynamic Coordinated Metabolic Attention and Structural Attention.

Siamese semi-disentanglement network for robust PET-CT segmentation

面向PET/CT图像的智能化肿瘤分割与分类方法研究

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

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

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

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

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

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

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

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

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

Deep learning techniques for tumor segmentation: a review

EFNet: evidence fusion network for tumor segmentation from PET-CT volumes

Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021 Phys. Med. Biol. 66 205005)

Mitigating label noise impact: A plug-and-play RECIST-based iterative label refinement teacher-student learning paradigm for medical image segmentation

研究方向