Yuehui Liao

According to our database, Yuehui Liao authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

A hybrid CNN-Mamba state space model with pyramid-pooled skip connections for prostate tumor segmentation.

Xueting Wei, Yuehui Liao, Jingyu Zhu, Shiqing Zhang, Guang Yang, Qun Jin, Xiaobo Lai, Qi Tian

Expert Syst. Appl., 2026

A global-to-local state space model with context-mixing dynamic kernels for medical image classification.

Yuehui Liao, Pengxia Yue, Yuhao Wang, Yun Zheng, Panfei Li, Guang Yang, Qun Jin, Shiqing Zhang, Xiaobo Lai, Qi Tian

Expert Syst. Appl., 2026

Self-attention-based mixture-of-experts framework for non-invasive prediction of MGMT promoter methylation in glioblastoma using multi-modal MRI.

Yuehui Liao, Yun Zheng, Jingyu Zhu, Yu Chen, Feng Gao, Yaning Feng, Weiji Yang, Guang Yang, Xiaobo Lai, Panfei Li

Displays, 2026

Trans-MT: a 3D semi-supervised glioma segmentation model integrating transformer architecture and asymmetric data augmentation.

Yuehui Liao, Yun Zheng, Yingjie Jiao, Na Tang, Yuhao Wang, Yu Hu, Yaning Feng, Ruofan Wang, Qun Jin, Xiaobo Lai, Panfei Li

Displays, 2026

2025

Multimodal MRI-Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture.

Jingyu Zhu, Yuehui Liao, Yu Chen, Feng Gao, Ruipeng Li, Guang Yang, Xiaobo Lai, Jing Chen

Int. J. Imaging Syst. Technol., 2025

Non-Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features.

Jing Chen, Xiaoying Qiu, Yun Zheng, Yuehui Liao, Weiji Yang, Jionghui Gu, Chunhong Yan, Lang Meng, Jing Cheng, Tian'an Jiang, Xiaobo Lai

Int. J. Imaging Syst. Technol., 2025

Dual examiner consistency learning with dynamic receptive fields and class-balance refinement for Barely-supervised brain tumor segmentation.

Xiaofei Ma, Manman Tian, Jianming Ye, Yuehui Liao, Yu Chen, Changxiong Xie, Ruipeng Li, Panfei Li, Jianqing Wang, Xiaomei Xu, Xiaobo Lai

Displays, 2025

A systematic review and meta-analysis of deep learning and radiomics in predicting MGMT promoter methylation status in glioblastoma: Efficacy, reliability, and clinical implications.

Yu Chen, Yuehui Liao, Panfei Li, Wei Jin, Jingwan Fang, Junwei Huang, Yaning Feng, Changxiong Xie, Ruipeng Li, Qun Jin, Xiaobo Lai

Displays, 2025

2023

BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification.

Xiaoming Zhao, Yuehui Liao, Jiahao Xie, Xiaxia He, Shiqing Zhang, Guoyu Wang, Jiangxiong Fang, Hongsheng Lu, Jun Yu

Comput. Biol. Medicine, September, 2023