Yunsong Peng

According to our database, Yunsong Peng authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Adaptive critical subgraph mining for cognitive impairment conversion prediction with T1-MRI-based brain network.

Yilin Leng, Wenju Cui, Chen Bai, Xi Jiang, Yunsong Peng, Jian Zheng

Expert Syst. Appl., 2025

2024

HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation.

Bangkang Fu, Yunsong Peng, Junjie He, Chong Tian, Xinhuan Sun, Rongpin Wang

Comput. Biol. Medicine, March, 2024

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images.

Junjie He, Mudan Zhang, Wuchao Li, Yunsong Peng, Bangkang Fu, Chen Liu, Jian Wang, Rongpin Wang

Comput. Biol. Medicine, February, 2024

A nutrition-based radiomics-clinical model to predict the prognosis of patients with acute-on-chronic liver failure.

Qian Zhang, Yunsong Peng, Siyi Lei, Tingting Xiong, Liulu Zhang, Hong Peng, Xinhua Luo, Rongpin Wang

Displays, 2024

A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI.

Feng Liu, Yuanshen Zhao, Jukun Song, Guilan Tu, Yadong Liu, Yunsong Peng, Jiahui Mao, Chongzhe Yan, Rongpin Wang

Displays, 2024

3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC.

Chongzhe Yan, Feng Liu, Yunsong Peng, Yuanshen Zhao, Junjie He, Rongpin Wang

Biomed. Signal Process. Control., 2024

mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain.

Junjie He, Bangkang Fu, Zhenliang Xiong, Yunsong Peng, Rongpin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.

Xinhuan Sun, Wuchao Li, Bangkang Fu, Yunsong Peng, Junjie He, Lihui Wang, Tongyin Yang, Xue Meng, Jin Li, Jinjing Wang, Ping Huang, Rongpin Wang

Comput. Methods Programs Biomed., December, 2023

Multimodal cross enhanced fusion network for diagnosis of Alzheimer's disease and subjective memory complaints.

Yilin Leng, Wenju Cui, Yunsong Peng, Caiying Yan, Yuzhu Cao, Zhuangzhi Yan, Shuangqing Chen, Xi Jiang, Jian Zheng

Comput. Biol. Medicine, May, 2023

msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.

Junjie He, Yunsong Peng, Bangkang Fu, Yuemin Zhu, Lihui Wang, Rongpin Wang

NeuroImage, 2023

2022

Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system.

Zicong Ge, Liangfeng Tang, Yunsong Peng, Mingming Zhang, Jialong Tang, Xiaodong Yang, Yu Li, Zhongyi Wu, Gang Yuan

Comput. Biol. Medicine, 2022

Implementation of a High-precision TIME-aware Shaper in TSN.

Yunsong Peng, Jie Ren, Kai Gong

Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021

3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection.

Jian Zheng, Haotian Sun, Shandong Wu, Ke Jiang, Yunsong Peng, Xiaodong Yang, Fan Zhang, Ming Li

IEEE J. Biomed. Health Informatics, 2021

Bilinear pooling and metric learning network for early Alzheimer's disease identification with FDG-PET images.

Wenju Cui, Caiying Yan, Zhuangzhi Yan, Yunsong Peng, Yilin Leng, Chenlu Liu, Shuangqing Chen, Xi Jiang

CoRR, 2021