吕闻冰｜云南大学｜学者主页

2026

TriFuse-Net: A Tri-Branch PET/CT Fusion Pyramid Network Enhanced by Lesion-Guided Structural-Metabolic Attention for Lung Cancer Diagnosis and Prognosis.

Yuyu Liu, Jieqin Lv, Fang-Fang Yang, Huiqin Wu, Xiang Pan, Li Wang, Han Bai, Shun-Fang Wang, Li-Jun Lu, Wenbing Lv

IEEE journal of biomedical and health informatics

DOI

2026

FAMSA-Net: frequency-aware multi-scale spatial attention network for gain quality grading in automated breast ultrasound images

Mengxia Li, Wenbing Lv, Tongxing Pu, Zhiyao Li, Bingbing He, X. Allen Li, Yufeng Zhang

BMC Medical Imaging

DOI

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 Systems With Applications，Vol. 277

DOI

2025

肺癌放疗中基于四维计算机断层扫描通气成像的放射性肺炎预测研究进展

刘钰煜，王丽，高燕萍，潘香，袁美芳，何冰冰，柏晗，吕闻冰

《生物医学工程学杂志》

2025

Dynamics of habitat contour complexity in pre- and post-treatment MRI images for survival prediction of nasopharyngeal carcinoma

Yali Wang, Rui Gao, Tao Zhang, Yuyu Liu, Y. Kong, Li-Jun Lu, Wenbing Lv

International Conference on Future of Medicine and Biological Information Engineering (MBIE)

DOI

2025

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

J. Kou, Jun-Yi Peng, Wenbing Lv, Chen-Fei Wu, Zi-Hang Chen, Guan-Qun Zhou, Ya-Qin Wang, Li Lin, Li-Jun Lu, Ying Sun

Radiology: Artificial Intelligence

DOI

2025

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

Zan-Ting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Li-Jun Lu

Medical Image Anal.

DOI

2025

MPCNet: multi-scale decomposition network with perception weaving and context-aware fusion for robust 2D medical image classification

Xingyu Ding, Hai-Yan Li, Yiyin Tang, Xun Lang, Wenbing Lv, Bingbing He, Yujun Ma

Physics in Medicine and Biology

DOI

2025

Establishment and validation of a dynamic prognostic model using serial circulating tumor DNA (ctDNA) for endemic EBV-related nasopharyngeal carcinoma (NPC): A secondary analysis of EP-SEASON.

Z. Zhen, Wenbing Lv, Fang-Fang Yang, Ling-Xin Xu, T. Quan, Li Lin, Guan-Qun Zhou, Li-Jun Lu, Jia-Wei Lyu, Ying Sun

Journal of Clinical Oncology

DOI

2025

SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation

Xiang Zhang, Wenbing Lv, Lijun Lu, Zhaoxiang Ye, Minjie Zhou, Jie Duan, Yunshan Su, Shunfang Wang

Biomedical Signal Processing and Control

DOI

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 Yu Huang, Yunshan Su, Tao Shen

Information Fusion

DOI

2025

CT Heterogeneity and Dose Distribution Patterns in Block and Ring Regions Improved the Prediction of Radiation Pneumonitis

Yuyu Liu, Li Wang, Fangfang Yang, Yali Wang, Zeyu Zhang, Biao Wu, Yanping Gao, Han Bai, Wenbing Lv

DOI

2024

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

Xu Han, Zi-Hang Chen, Guoyu Lin, Wenbing Lv, Chundan Zheng, Wantong Lu, Ying Sun, Li-Jun Lu

Comput. Biol. Medicine

DOI

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, Li-Jun Lu, Wenbing Lv

Biomedical Signal Processing and Control

DOI

2024

BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis

Huiqin Wu, Lihong Peng, Dong-Yang Du, Hui Xu, Guoyu Lin, Zidong Zhou, Li-Jun Lu, Wenbing Lv

Physics in Medicine and Biology

DOI

2024

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

Tian-Zhao Xu, Yanchao Huang, T. Ang, Shuilin Chu, Pei-Yin Luo, Shun-Fang Wang, Yu-Feng Zhang, Li-Jun Lu, Gang-Hua Tang, Wenbing Lv

IEEE International Symposium on Biomedical Imaging

DOI

2024

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET

Hao Sun, Yanchao Huang, De-Bin Hu, Xiaotong Hong, Y. Salimi, Wenbing Lv, Hongwen Chen, H. Zaidi, Hu-Bing Wu, Li-Jun Lu

EJNMMI Physics

DOI

2023

Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer

Bing-Zhen Wang, Jinghua Liu, Xiao-Lei Zhang, Zhong-Xiao Wang, Zhen-Dong Cao, Li-Jun Lu, Wenbing Lv, Aihui Wang, Shuyan Li, Xiaotian Wu, Xian-Ling Dong

EJNMMI Research

DOI

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, Jun-Yi Peng, Lihong Peng, Guoyu Lin, Hui-qian Wu, Hui Xu, Li-Jun Lu

Comput. Methods Programs Biomed.

DOI

2023

Optimal batch determination for improved harmonization and prognostication of multi-center PET/CT radiomics feature in head and neck cancer

Huiqin Wu, Xiaohui Liu, Lihong Peng, Yu-Ling Yang, Zidong Zhou, Dong-Yang Du, Hui Xu, Wenbing Lv, Li-Jun Lu

Physics in Medicine and Biology

DOI

2023

Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal 18F-FDG PET/CT

Lihong Peng, Hui Xu, Wenbing Lv, Li-Jun Lu, Wu-Fan Chen

Cancers

DOI

2023

Multimodality radiomics analysis based on [^18F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis

Hui Xu, Wenbing Lv, Hao Zhang, Q. Yuan, Quan-Shi Wang, Yuankui Wu, Li-Jun Lu

European Radiology

DOI

2023

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

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

Biomedical Signal Processing and Control

DOI

2022

Context-Aware Saliency Guided Radiomics: Application to Prediction of Outcome and HPV-Status from Multi-Center PET/CT Images of Head and Neck Cancer

Wenbing Lv, Hui Xu, Xu Han, Hao Zhang, Jian-Hua Ma, A. Rahmim, Li-Jun Lu

Cancers

DOI

2022

Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma

Jieqin Lv, Xiao-Hui Chen, Xinran Liu, Dong-Yang Du, Wenbing Lv, Li-Jun Lu, Hu-Bing Wu

Frontiers in Oncology

DOI

2022

Graph Convolutional Network-based Functional-structural Sub-region Framework for Head and Neck Cancer Prognosis with PET/CT Imaging

Zidong Zhou, Junyi Peng, Guoyu Lin, Huiqin Wu, Wenbing Lv, Li-Jun Lu

Nuclear Science Symposium and Medical Imaging Conference

DOI

2022

Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma.

C. Cai, Wenbing Lv, F. Chi, Bai-Lin Zhang, Lin Zhu, Geng Yang, Shichao Zhao, Yuan-Hu Zhu, Xu Han, Z. Dai, Xue-Tao Wang, Li-Jun Lu

Medical Physics (Lancaster)

DOI

2022

BAF-Net: Bidirectional Attention-aware Fluid Pyramid Feature Integrated Multi-modal Fusion Network for Prognosis

Huiqin Wu, Wenbing Lv, Dong-Yang Du, Hui Xu, Guoyu Lin, Zidong Zhou, Jianhua Ma, Li-Jun Lu

Nuclear Science Symposium and Medical Imaging Conference

DOI

2022

Deep learning–based harmonization of CT reconstruction kernels towards improved clinical task performance

Dong-Yang Du, Wenbing Lv, Jieqin Lv, Xiao-Hui Chen, Hu-Bing Wu, A. Rahmim, Li-Jun Lu

European Radiology

DOI

2021

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

Wenbing Lv, Hui Feng, Dong-Yang Du, Jian-Hua Ma, Li-Jun Lu

IEEE Access

DOI

2021

Identification of Stage IIIC/IV EGFR-Mutated Non-Small Cell Lung Cancer Populations Sensitive to Targeted Therapy Based on a PET/CT Radiomics Risk Model

Dan Shao, Dong-Yang Du, Haiping Liu, Jie Lv, You Cheng, Hao Zhang, Wenbing Lv, Shuxia Wang, Li-Jun Lu

Frontiers in Oncology

DOI

2021

Reply to Letter to Editor RE: “Integration of PET/CT Radiomics and Semantic Features for Differentiation Between Active Pulmonary Tuberculosis and Lung Cancer”

Dong-Yang Du, Jiamei Gu, Xiao-Hui Chen, Wenbing Lv, Q. Feng, A. Rahmim, Hu-Bing Wu, Li-Jun Lu

Molecular Imaging and Biology

DOI

2021

Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering

Yuru He, S. Cao, Hongyan Zhang, Hao-Jan Sun, Fang-Hu Wang, Huobiao Zhu, Wenbing Lv, Li-Jun Lu

IEEE Access

DOI

2021

Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters

S. Cao, Yuru He, Hongyan Zhang, Wenbing Lv, Li-Jun Lu, Wu-Fan Chen

IEEE Access

DOI

2021

Evaluation and optimization of radiomics features stability to respiratory motion in 18 F-FDG 3D PET imaging.

Hui Xu, Wenbing Lv, Hongyan Zhang, Jian-Hua Ma, Peng-Nan Zhao, Li-Jun Lu

Medical Physics (Lancaster)

DOI

2021

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

Yanchao Huang, Huobiao Zhu, Xiaoman Duan, Xiaotong Hong, Hao-Jan Sun, Wenbing Lv, Li-Jun Lu, Qian-Jin Feng

Comput. Methods Programs Biomed.

DOI

2020

头颈癌PET/CT影像组学特征的鲁棒性及诊断预后价值研究

吕闻冰

《南方医科大学》

2020

Integration of PET/CT Radiomics and Semantic Features for Differentiation between Active Pulmonary Tuberculosis and Lung Cancer

Dong-Yang Du, Jiamei Gu, Xiao-Hui Chen, Wenbing Lv, Qian-Jin Feng, A. Rahmim, Hu-Bing Wu, Li-Jun Lu

Molecular Imaging and Biology

DOI

2019

Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma

Wenbing Lv, Q. Yuan, Quan-Shi Wang, Jian-Hua Ma, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

Molecular Imaging and Biology

DOI

2019

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

Dong-Yang Du, Hui Feng, Wenbing Lv, S. Ashrafinia, Q. Yuan, Quan-Shi Wang, Wei Yang, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

Molecular Imaging and Biology

DOI

2019

Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma

Hui Xu, Wenbing Lv, Hui Feng, Dong-Yang Du, Q. Yuan, Quan-Shi Wang, Z. Dai, Wei Yang, Qian-Jin Feng, Jian-Hua Ma, Li-Jun Lu

Molecular Imaging and Biology

DOI

2019

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

Wenbing Lv, S. Ashrafinia, Jian-Hua Ma, Li-Jun Lu, A. Rahmim

IEEE journal of biomedical and health informatics

DOI

2018

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

Wenbing Lv, Q. Yuan, Quan-Shi Wang, Jian-Hua Ma, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

IEEE International Symposium on Biomedical Imaging

DOI

2018

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT

Wenbing Lv, Q. Yuan, Quan-Shi Wang, Jian-Hua Ma, Jun Jiang, Wei Yang, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

European Radiology

DOI

2018

Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal 18F-FDG PET/CT images

Xiaotong Hong, Wenbing Lv, Q. Yuan, Quan-Shi Wang, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

2018

Machine learning methods for optimal differentiation of recurrence versus inflammation from post-therapy nasopharyngeal 18F-FDG PET/CT images

Dong-Yang Du, Wenbing Lv, Q. Yuan, Quan-Shi Wang, Qian-Jin Feng, Wu-Fan Chen, A. Rahmim, Li-Jun Lu

2016

Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization

Li-Jun Lu, Wenbing Lv, Jun Jiang, Jian-Hua Ma, Qian-Jin Feng, A. Rahmim, Wu-Fan Chen

Molecular Imaging and Biology

DOI

精选作品

期刊论文

TriFuse-Net: A Tri-Branch PET/CT Fusion Pyramid Network Enhanced by Lesion-Guided Structural-Metabolic Attention for Lung Cancer Diagnosis and Prognosis.

FAMSA-Net: frequency-aware multi-scale spatial attention network for gain quality grading in automated breast ultrasound images

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

肺癌放疗中基于四维计算机断层扫描通气成像的放射性肺炎预测研究进展

Dynamics of habitat contour complexity in pre- and post-treatment MRI images for survival prediction of nasopharyngeal carcinoma

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

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

MPCNet: multi-scale decomposition network with perception weaving and context-aware fusion for robust 2D medical image classification

Establishment and validation of a dynamic prognostic model using serial circulating tumor DNA (ctDNA) for endemic EBV-related nasopharyngeal carcinoma (NPC): A secondary analysis of EP-SEASON.

SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation

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

CT Heterogeneity and Dose Distribution Patterns in Block and Ring Regions Improved the Prediction of Radiation Pneumonitis

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

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

BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis

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

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET

Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer

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

Optimal batch determination for improved harmonization and prognostication of multi-center PET/CT radiomics feature in head and neck cancer

Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal 18F-FDG PET/CT

Multimodality radiomics analysis based on [^18F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis

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

Context-Aware Saliency Guided Radiomics: Application to Prediction of Outcome and HPV-Status from Multi-Center PET/CT Images of Head and Neck Cancer

Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma

Graph Convolutional Network-based Functional-structural Sub-region Framework for Head and Neck Cancer Prognosis with PET/CT Imaging

Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma.

BAF-Net: Bidirectional Attention-aware Fluid Pyramid Feature Integrated Multi-modal Fusion Network for Prognosis

Deep learning–based harmonization of CT reconstruction kernels towards improved clinical task performance

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

Identification of Stage IIIC/IV EGFR-Mutated Non-Small Cell Lung Cancer Populations Sensitive to Targeted Therapy Based on a PET/CT Radiomics Risk Model

Reply to Letter to Editor RE: “Integration of PET/CT Radiomics and Semantic Features for Differentiation Between Active Pulmonary Tuberculosis and Lung Cancer”

Dynamic PET Image Denoising With Deep Learning-Based Joint Filtering

Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters

Evaluation and optimization of radiomics features stability to respiratory motion in 18 F-FDG 3D PET imaging.

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

头颈癌PET/CT影像组学特征的鲁棒性及诊断预后价值研究

Integration of PET/CT Radiomics and Semantic Features for Differentiation between Active Pulmonary Tuberculosis and Lung Cancer

Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma

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

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

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT

Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal 18F-FDG PET/CT images

Machine learning methods for optimal differentiation of recurrence versus inflammation from post-therapy nasopharyngeal 18F-FDG PET/CT images

Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization

研究方向