Wenbing Lv

22 papers B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation.
Inf. Fusion
Xiang Zhang, Shunfang Wang, Wenbing Lv, Minjie Zhou, Shanshan Li, Jingjing Yang, Ming Huang, Yunshan Su, Tao Shen
2026 J jnl
SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation.
Biomed. Signal Process. Control.
Xiang Zhang, Wenbing Lv, Lijun Lu, Zanting Ye, Minjie Zhou, Jiajie Duan, Yunshan Su, Shunfang Wang
2025 J jnl
Cross-modal generalizable medical image segmentation with dual-domain deformable transformer and multitask adaptation.
Expert Syst. Appl.
Jie Cai, Haiyan Li, Mingchuan Tan, Bingbing He, Wenbing Lv, Hongsong Li
2025 J jnl
EGNL-FAT: An Edge-Guided Non-Local network with Frequency-Aware transformer for smoke segmentation.
Expert Syst. Appl.
Yitong Fu, Haiyan Li, Yujiao Wang, Wenbing Lv, Bingbing He, Pengfei Yu
2025 J jnl
FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations.
Medical Image Anal.
Zanting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Lijun Lu
2025 J jnl
LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis.
Comput. Methods Programs Biomed.
Wenbing Lv, Junyi Peng, Jiaping Hu, Yijun Lu, Zidong Zhou, Hui Xu, Kongzai Xing, Xiaodong Zhang, Lijun Lu
2025 B conf
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.
IJCNN
Xuyin Qi, C. 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
2025 J jnl
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.
CoRR
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
2024 — conf
Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors.
ISBI
Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv
2024 J jnl
Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer.
Biomed. Signal Process. Control.
Junyi Peng, Lihong Peng, Zidong Zhou, Xu Han, Hui Xu, Lijun Lu, Wenbing Lv
2024 — conf
RUIFAF_Net: Radiofrequency and Ultrasound Image Feature Attention and Fusion Network for Improved Breast Cancer Segmentation.
BIBM
Zhenxu Wu, Bo Li, Huajun Zhou, Xun Lang, Bingbing He, X. Allen Li, Yufeng Zhang, Wenbing Lv
2024 — conf
Research on the Training Strategy of Automotive Electrical System Fault Diagnosis Ability Based on Outcome Based Education Teaching Mode.
ICAIE
Naifa Gong, Wenbing Lv, Chuyun Zhang, Huaiyu Wang, Longzhou Lu, Xing Yang, Yuanyuan Jiang
2024 J jnl
Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI.
Comput. Biol. Medicine
Xu Han, Zihang Chen, Guoyu Lin, Wenbing Lv, Chundan Zheng, Wantong Lu, Ying Sun, Lijun Lu
2023 J jnl
Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging.
Comput. Methods Programs Biomed.
Wenbing Lv, Zidong Zhou, Junyi Peng, Lihong Peng, Guoyu Lin, Huiqin Wu, Hui Xu, Lijun Lu
2023 J jnl
MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation.
Biomed. Signal Process. Control.
Chang Zhao, Wenbing Lv, Xiang Zhang, Zimin Yu, Shunfang Wang
2021 J jnl
Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer.
IEEE Access
Wenbing Lv, Hui Feng, Dongyang Du, Jianhua Ma, Lijun Lu
2021 J jnl
Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering.
IEEE Access
Yuru He, Shuangliang Cao, Hongyan Zhang, Hao Sun, Fanghu Wang, Huobiao Zhu, Wenbing Lv, Lijun Lu
2021 J jnl
Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters.
IEEE Access
Shuangliang Cao, Yuru He, Hongyan Zhang, Wenbing Lv, Lijun Lu, Wufan Chen
2021 J jnl
GapFill-Recon Net: A Cascade Network for simultaneously PET Gap Filling and Image Reconstruction.
Comput. Methods Programs Biomed.
Yanchao Huang, Huobiao Zhu, Xiaoman Duan, Xiaotong Hong, Hao Sun, Wenbing Lv, Lijun Lu, Qianjin Feng
2020 J jnl
Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer.
IEEE J. Biomed. Health Informatics
Wenbing Lv, Saeed Ashrafinia, Jianhua Ma, Lijun Lu, Arman Rahmim
2018 — conf
Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma.
ISBI
Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu
2016 J jnl
Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system.
Neurocomputing
Xinjiang Lu, Chuang Zhou, Minghui Huang, Wenbing Lv