LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis. - Lv, Wenbing; Peng, Junyi; Hu, Jiaping; Lu, Yijun; Zhou, Zidong; Xu, Hui; Xing, Kongzai; Zhang, Xiaodong; Lu, Lijun (Comput. Methods Programs Biomed., 2025)

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

Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer. - Peng, Junyi; Peng, Lihong; Zhou, Zidong; Han, Xu; Xu, Hui; Lu, Lijun; Lv, Wenbing (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. - Han, Xu; Chen, Zihang; Lin, Guoyu; Lv, Wenbing; Zheng, Chundan; Lu, Wantong; Sun, Ying; Lu, Lijun (Comput. Biol. Medicine, 2024)

RUIFAF_Net: Radiofrequency and Ultrasound Image Feature Attention and Fusion Network for Improved Breast Cancer Segmentation. - Wu, Zhenxu; Li, Bo; Zhou, Huajun; Lang, Xun; He, Bingbing; Li, X. Allen; Zhang, Yufeng; Lv, Wenbing (2024)

Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors. - Xu, Tianmeng; Huang, Yanchao; Ang, Tingting; Chu, Shuilin; Luo, Peiyin; Wang, Shunfang; Zhang, Yufeng; Lu, Lijun; Tang, Ganghua; Lv, Wenbing (2024)

MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation. - Zhao, Chang; Lv, Wenbing; Zhang, Xiang; Yu, Zimin; Wang, Shunfang (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. - Lv, Wenbing; Zhou, Zidong; Peng, Junyi; Peng, Lihong; Lin, Guoyu; Wu, Huiqin; Xu, Hui; Lu, Lijun (Comput. Methods Programs Biomed., 2023)

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

Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering. - He, Yuru; Cao, Shuangliang; Zhang, Hongyan; Sun, Hao; Wang, Fanghu; Zhu, Huobiao; Lv, Wenbing; Lu, Lijun (IEEE Access, 2021)

Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer. - Lv, Wenbing; Feng, Hui; Du, Dongyang; Ma, Jianhua; Lu, Lijun (IEEE Access, 2021)

GapFill-Recon Net: A Cascade Network for simultaneously PET Gap Filling and Image Reconstruction. - Huang, Yanchao; Zhu, Huobiao; Duan, Xiaoman; Hong, Xiaotong; Sun, Hao; Lv, Wenbing; Lu, Lijun; Feng, Qianjin (Comput. Methods Programs Biomed., 2021)

Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer. - Lv, Wenbing; Ashrafinia, Saeed; Ma, Jianhua; Lu, Lijun; Rahmim, Arman (IEEE J. Biomed. Health Informatics, 2020)

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