Wenbing Lv

According to our database, Wenbing Lv authored at least 20 papers between 2016 and 2026.

Collaborative distances:

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

2026

EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation.

Xiang Zhang, Shunfang Wang, Wenbing Lv, Minjie Zhou, Shanshan Li, Jingjing Yang, Ming Huang, Yunshan Su, Tao Shen

Inf. Fusion, 2026

2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

CoRR, February, 2025

FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations.

Zanting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Lijun Lu

Medical Image Anal., 2025

EGNL-FAT: An Edge-Guided Non-Local network with Frequency-Aware transformer for smoke segmentation.

Yitong Fu, Haiyan Li, Yujiao Wang, Wenbing Lv, Bingbing He, Pengfei Yu

Expert Syst. Appl., 2025

Cross-modal generalizable medical image segmentation with dual-domain deformable transformer and multitask adaptation.

Jie Cai, Haiyan Li, Mingchuan Tan, Bingbing He, Wenbing Lv, Hongsong Li

Expert Syst. Appl., 2025

LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis.

Wenbing Lv, Junyi Peng, Jiaping Hu, Yijun Lu, Zidong Zhou, Hui Xu, Kongzai Xing, Xiaodong Zhang, Lijun Lu

Comput. Methods Programs Biomed., 2025

2024

Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI.

Xu Han, Zihang Chen, Guoyu Lin, Wenbing Lv, Chundan Zheng, Wantong Lu, Ying Sun, Lijun Lu

Comput. Biol. Medicine, 2024

Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer.

Junyi Peng, Lihong Peng, Zidong Zhou, Xu Han, Hui Xu, Lijun Lu, Wenbing Lv

Biomed. Signal Process. Control., 2024

Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors.

Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Research on the Training Strategy of Automotive Electrical System Fault Diagnosis Ability Based on Outcome Based Education Teaching Mode.

Naifa Gong, Wenbing Lv, Chuyun Zhang, Huaiyu Wang, Longzhou Lu, Xing Yang, Yuanyuan Jiang

Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, 2024

RUIFAF_Net: Radiofrequency and Ultrasound Image Feature Attention and Fusion Network for Improved Breast Cancer Segmentation.

Zhenxu Wu, Bo Li, Huajun Zhou, Xun Lang, Bingbing He, X. Allen Li, Yufeng Zhang, Wenbing Lv

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation.

Chang Zhao, Wenbing Lv, Xiang Zhang, Zimin Yu, Shunfang Wang

Biomed. Signal Process. Control., September, 2023

Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging.

Wenbing Lv, Zidong Zhou, Junyi Peng, Lihong Peng, Guoyu Lin, Huiqin Wu, Hui Xu, Lijun Lu

Comput. Methods Programs Biomed., March, 2023

2021

GapFill-Recon Net: A Cascade Network for simultaneously PET Gap Filling and Image Reconstruction.

Yanchao Huang, Huobiao Zhu, Xiaoman Duan, Xiaotong Hong, Hao Sun, Wenbing Lv, Lijun Lu, Qianjin Feng

Comput. Methods Programs Biomed., 2021

Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer.

Wenbing Lv, Hui Feng, Dongyang Du, Jianhua Ma, Lijun Lu

IEEE Access, 2021

Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering.

Yuru He, Shuangliang Cao, Hongyan Zhang, Hao Sun, Fanghu Wang, Huobiao Zhu, Wenbing Lv, Lijun Lu

IEEE Access, 2021

Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters.

Shuangliang Cao, Yuru He, Hongyan Zhang, Wenbing Lv, Lijun Lu, Wufan Chen

IEEE Access, 2021

2020

Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer.

Wenbing Lv, Saeed Ashrafinia, Jianhua Ma, Lijun Lu, Arman Rahmim

IEEE J. Biomed. Health Informatics, 2020

2018

Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma.

Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2016

Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system.

Xinjiang Lu, Chuang Zhou, Minghui Huang, Wenbing Lv

Neurocomputing, 2016