Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system. - Xinjiang Lu; Chuang Zhou 001; Minghui Huang; Wenbing Lv (Neurocomputing, 2016)

Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. - Wenbing Lv; Qingyu Yuan; Quanshi Wang; Jianhua Ma 001; Qianjin Feng; Wufan Chen; Arman Rahmim; Lijun Lu (ISBI, 2018)

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 001; Lijun Lu; Arman Rahmim (IEEE J. Biomed. Health Informatics, 2020)

Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters. - Shuangliang Cao; Yuru He; Hongyan Zhang; Wenbing Lv; Lijun Lu; Wufan Chen (IEEE Access, 2021)

Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering. - Yuru He; Shuangliang Cao; Hongyan Zhang; Hao Sun 025; Fanghu Wang; Huobiao Zhu; Wenbing Lv; Lijun Lu (IEEE Access, 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 001; Lijun Lu (IEEE Access, 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)

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., 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., 2023)

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 (BIBM, 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 (ICAIE, 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 (ISBI, 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)

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)

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)

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)

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)

FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations. - Zanting Ye; Ke Wang 048; Wenbing Lv; Qianjin Feng; Lijun Lu (Medical Image Anal., 2025)

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. - Xuyin Qi; Zeyu Zhang 006; Huazhan Zheng; Mingxi Chen; Numan Kutaiba; Ruth Lim; Cherie Chiang; Zi En Tham; Xuan Ren; Wenxin Zhang 005; Lei Zhang; Hao Zhang; et al. (CoRR, 2025)

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 003; Yunshan Su; Tao Shen (Inf. Fusion, 2026)