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)

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; et al. (CoRR, 2025)

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)

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 (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 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 (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

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)

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)

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; 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; 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)

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)

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 (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)