Publications

Journal Papers

    2026

  1. Xiang Zhang, Wenbing Lv, Lijun Lu, Zanting Ye, Minjie Zhou, Jiajie Duan, Yunshan Su, Shunfang Wang. SDHM²T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation, Biomedical Signal Processing and Control, 2026 Mar, 113:108881. doi: https://doi.org/10.1016/j.bspc.2025.108881.
  2. Xiaolin Sun, Yuan Chang, Xiaoyue Tan, Qing Zhang, Hao Sun, Shanzhen He, Fanghu Wang, Lijun Lu, Lei Jiang. Deep learning-based one-stop 11C-CFT and 18F-FDG dual-tracer brain PET imaging protocol for Parkinson’s disease, Brain Research Bulletin, 236 (2026) 111764. doi: https://doi.org/10.1016/j.brainresbull.2026.111764.
  3. Junhang Deng, Hao Sun, Haifeng Wang, Xiaotong Hong, Weiping Xu, Fan Wang, Jianhua Ma, Chunfeng Lian, Lijun Lu. Generative restoration for cardiac PET attenuation correction: a two-stage 3D DDIM framework optimizing fidelity and clinical controllability, EJNMMI Physics, 2026 Feb 02. doi: https://doi.org/10.1186/s40658-026-00839-7.
  4. Songyi Zhang, Emma Bos, Yeung Yam, Anahita Tavoosi, Gary R Small, R. Glenn Wells, Lijun Lu, Benjamin J.W. Chow. DuDoCS-Net: dual-domain and self-attention based CycleGAN for low-dose SPECT myocardial perfusion image enhancement, Biomedical Signal Processing and Control, 112 (Part B) (2026) 108514. doi: https://doi.org/10.1016/j.bspc.2025.108514.

    5. 2025

  5. Yali Wang, Rui Gao, Taoyu Zhang, Yuyu Liu, Yiran Kong, Lijun Lu, Wenbing Lv. Dynamics of habitat contour complexity in pre- and post-treatment MRI images for survival prediction of nasopharyngeal carcinoma, Proc. SPIE 13999, Second International Conference on Future of Medicine and Biological Information Engineering (MBIE 2025), 1399909 (2025 Dec 03). doi: https://doi.org/10.1117/12.3097605.
  6. Hao Sun, Xiaotong Hong, Yijun Lu, Fanghu Wang, Amirhossein Sanaat, Weiping Xu, Shuxia Wang, Habib Zaidi, Lijun Lu. CT-free attenuation correction of 13N-ammonia cardiac PET images using conditional denoising diffusion implicit model with logarithmic linear normalization, Computer Methods and Programs in Biomedicine, 275 (2026) 109188. doi: https://doi.org/10.1016/j.cmpb.2025.109188.
  7. Zanting Ye, Jieqin Lv, Xuanbin Wu, Hui Li, Xiaolong Niu, Xu Han, Baoyuan Li, Lu Gao, Jiaqi Yang, Fu Ouyang, Lijun Lu, Pengcheng Ran. AI-Quantified ¹¹C-MET PET/CT bone marrow metabolic activity for prognostic assessment in newly diagnosed multiple myeloma, European Journal of Nuclear Medicine and Molecular Imaging, 2025 Oct 30. doi: https://doi.org/10.1007/s00259-025-07594-4.
  8. Wantong Lu, Xu Han, Yibo Wei, Zanting Ye, Lijun Lu. PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-Staging Classification with Epstein-Barr Virus DNA, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 (MICCAI 2025), Lecture Notes in Computer Science, vol. 15960, Springer, Cham, 2026. doi: https://doi.org/10.1007/978-3-032-04927-8_46.
  9. Xiaolong Niu, Zanting Ye, Xu Han, Yanchao Huang, Hao Sun, Hubing Wu, Lijun Lu. MDAA-Diff: CT-Guided Multi-dose Adaptive Attention Diffusion Model for PET Denoising, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 (MICCAI 2025), Lecture Notes in Computer Science, vol. 15962, Springer, Cham, 2026, pp. 333–343. doi: https://doi.org/10.1007/978-3-032-04947-6_32.
  10. Zanting Ye, Xiaolong Niu, Xu Han, Xuanbin Wu, Wantong Lu, Yijun Lu, Hao Sun, Yanchao Huang, Hubing Wu, Lijun Lu. Self is the Best Learner: CT-Free Ultra-low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 (MICCAI 2025), Lecture Notes in Computer Science, vol. 15962, Springer, Cham, 2026, pp. 566–576. doi: https://doi.org/10.1007/978-3-032-04947-6_54.
  11. Xiaolong Niu, Jieqin Lv, Zanting Ye, Yibo Wei, Yijun Lu, Xuanbin Wu, Wenxiang Yi, Pengcheng Ran, Lijun Lu. Multicontrast MR-Guided Diffusion Model for Ultra-Low-Dose Brain PET Denoising in Temporal Lobe Epilepsy, IEEE Journal of Biomedical and Health Informatics, (2025) 1–13. doi: https://doi.org/10.1109/JBHI.2025.3606960.
  12. Hao Sun, Amirhossein Sanaat, Wenxiang Yi, Yazdan Salimi, Yanchao Huang, Charles-Edouard Decorads, Inès Castarède, Hubing Wu, Lijun Lu, Habib Zaidi. Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model, Academic Radiology, 32(12) (2025) 7499–7512. doi: https://doi.org/10.1016/j.acra.2025.08.015.
  13. Xiaotong Hong, Fanghu Wang, Hao Sun, Hossein Arabi, Lijun Lu. Direct parametric reconstruction in dynamic PET using deep image prior and a novel parameter magnification strategy, Computers in Biology and Medicine, 194 (2025) 110487. doi: https://doi.org/10.1016/j.compbiomed.2025.110487.
  14. Zihang Chen, Xu Han, Li Lin, Guoyu Lin, Bo Li, Jia Kou, Chenfei Wu, Xinlei Ai, Guanqun Zhou, Mingyong Gao, Lijun Lu, Ying Sun. Harnessing deep learning to optimize induction chemotherapy choices in nasopharyngeal carcinoma, Radiotherapy and Oncology, 211 (2025) 111047. doi: https://doi.org/10.1016/j.radonc.2025.111047.
  15. Zanting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Lijun Lu. FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations, Medical Image Analysis, 105 (2025) 103704. doi: https://doi.org/10.1016/j.media.2025.103704.
  16. Xiaotong Hong, Hao Sun, Yanchao Huang, Debin Hu, Hossein Arabi, Lijun Lu, Habib Zaidi. Enhancing Short-Axial Field-of-view Whole-Body PET Parametric Image Quality using Dynamic Scans from the uEXPLORER System and Diffusion Neural Networks, Journal of Nuclear Medicine, 66 (Suppl 1) (Jun 2025) 251846.
  17. Zi-Cheng Zhen, Wenbing Lv, Fangfang Yang, Ling-Xin Xu, Ting-Qiu Quan, Li Lin, Guan-Qun Zhou, Lijun Lu, Jia-Wei Lyu, Ying Sun. 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, Journal of Clinical Oncology, 43 (2025) 6049–6049. doi: https://doi.org/10.1200/JCO.2025.43.16_suppl.6049.
  18. Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, Mohammad R. Salmanpour, Jieqin Lv, Huiqin Wu, Wentao Zhu, Habib Zaidi, Lijun Lu, Arman Rahmim. Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes, EJNMMI Physics, 12:34 (2025). doi: https://doi.org/10.1186/s40658-025-00750-7.
  19. Xiaotong Hong, Amirhossein Sanaat, Yazdan Salimi, René Nkoulou, Hossein Arabi, Lijun Lu, Habib Zaidi. Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study, Medical Physics, 52 (2025) e17871. doi: https://doi.org/10.1002/mp.17871.
  20. Wenbing Lv, Junyi Peng, Jiaping Hu, Yijun Lu, Zidong Zhou, Hui Xu, Kongzai Xing, Xiaodong Zhang, Lijun Lu. LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis, Computer Methods and Programs in Biomedicine, 261 (2025) 108600. doi: https://doi.org/10.1016/j.cmpb.2025.108600.
  21. Fanghua Wang, Yanga Chen, Xiaoyue Tan, Xu Han, Wantong Lu, Lijun Lu, Hui Yuan, Lei Jiang. PET/computed tomography radiomics combined with clinical features in predicting sarcopenia and prognosis of diffuse large B-cell lymphoma, Nuclear Medicine Communications, 46(2) (Feb 2025) 162–170. doi: https://doi.org/10.1097/MNM.0000000000001925.
  22. Jiaping Hu, Junyi Peng, Zidong Zhou, Tianyun Zhao, Lijie Zhong, Keyan Yu, Kexin Jiang, Tzak Sing Lau, Chuan Huang, Lijun Lu, Xiaodong Zhang. Associating Knee Osteoarthritis Progression with Temporal-Regional Graph Convolutional Network Analysis on MR Images, Journal of Magnetic Resonance Imaging, 61 (2025) 378–391. doi: https://doi.org/10.1002/jmri.29412.
  23. Jia Kou, Jun-Yi Peng, Wen-Bing Lv, Chen-Fei Wu, Zi-Hang Chen, Guan-Qun Zhou, Ya-Qin Wang, Li Lin, Li-Jun Lu, Ying Sun. A Serial MRI–based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma, Radiology: Artificial Intelligence, 7(2) (2025). doi: https://doi.org/10.1148/ryai.230544.

    24. 2024

  24. Fangfang Yang, Zicheng Zhen, Lin Li, Yuyu Liu, Rui Gao, Taoyu Zhang, Lijun Lu, Wenbing Lv. Encoding Temporal Change of Longitudinal EBV DNA for Dynamic Risk Prediction of Nasopharyngeal Carcinoma, in BIBE 2024: The 7th International Conference on Biological Information and Biomedical Engineering, Hohhot, China, 2024, pp. 67–72.
  25. Yuling Yang, Fanghu Wang, Xu Han, Hui Xu, Yangmei Zhang, Weiping Xu, Shuxia Wang, Lijun Lu. Automatic reorientation to generate short-axis myocardial PET images, EJNMMI Physics, 11:70 (2024). doi: https://doi.org/10.1186/s40658-024-00673-9.
  26. Hao Sun, Yanchao Huang, Debin Hu, Xiaotong Hong, Yazdan Salimi, Wenbing Lv, Hongwen Chen, Habib Zaidi, Hubing Wu, Lijun Lu. Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET, EJNMMI Physics, 11:66 (2024). doi: https://doi.org/10.1186/s40658-024-00666-8.
  27. Yangmei Zhang, Emma Bos, Owen Clarkin, Tyler Wilson, Gary R. Small, R. Glenn Wells, Lijun Lu, Benjamin J.W. Chow. Interpretation of SPECT wall motion with deep learning, Journal of Nuclear Cardiology, 37 (2024) 101881. doi: https://doi.org/10.1016/j.nuclcard.2024.101881.
  28. Xiaotong Hong, Amirhossein Sanaat, Yazdan Salimi, Hossein Arabi, Lijun Lu, Habib Zaidi. A deep learning framework for myocardial perfusion PET parametric imaging using virtual clinical trials for model training, Journal of Nuclear Medicine, 65 (Suppl 2) (Jun 2024) 242428. Link: https://jnm.snmjournals.org/content/65/supplement_2/242428.
  29. Xu Han, Zihang Chen, Guoyu Lin, Wenbing Lv, Chundan Zheng, Wantong Lu, Ying Sun, Lijun Lu. Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI, Computers in Biology and Medicine, 175 (2024) 108368. doi: https://doi.org/10.1016/j.compbiomed.2024.108368.
  30. Junyi Peng, Lihong Peng, Zidong Zhou, Xu Han, Hui Xu, Lijun Lu, Wenbing Lv. Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer, Biomedical Signal Processing and Control, 92 (2024) 106137. doi: https://doi.org/10.1016/j.bspc.2024.106137.
  31. Shuyan Li, Jiayi Xie, Jinghua Liu, Yanjun Wu, Zhongxiao Wang, Zhendong Cao, Dong Wen, Xiaolei Zhang, Bingzhen Wang, Yifan Yang, Lijun Lu, Xianling Dong. Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer, Journal of Computer Assisted Tomography, 48(3) (May/Jun 2024) 498–507. doi: https://doi.org/10.1097/RCT.0000000000001584.
  32. Huiqin Wu, Lihong Peng, Dongyang Du, Hui Xu, Guoyu Lin, Zidong Zhou, Lijun Lu, Wenbing Lv. BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis, Physics in Medicine & Biology, 69(10) (2024) 105007. doi: https://doi.org/10.1088/1361-6560/ad3cb2.
  33. Yangfan Ni, Duo Zhang, Gege Ma, Fan Rao, Yuanfeng Wu, Lijun Lu, Zhongke Huang, Wentao Zhu. A Multiscale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3-D Nuclear Cardiac Images, IEEE Transactions on Radiation and Plasma Medical Sciences, 8(6) (2024) 632–645. doi: https://doi.org/10.1109/TRPMS.2024.3382318.
  34. Hao Sun, Yu Du, Ching-Ni Lin, Han Jiang, Wenbo Huang, Pai-Yi Chiu, Guang-Uei Hung, Lijun Lu, Greta S. P. Mok. Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT, IEEE Transactions on Radiation and Plasma Medical Sciences, 8(6) (2024) 664–676. doi: https://doi.org/10.1109/TRPMS.2024.3374207.
  35. Zhaonian Wang, Chundan Zheng, Xu Han, Wufan Chen, Lijun Lu. An Innovative and Efficient Diagnostic Prediction Flow for Head and Neck Cancer: A Deep Learning Approach for Multi-Modal Survival Analysis Prediction Based on Text and Multi-Center PET/CT Images, Diagnostics, 14(4) (2024) 448. doi: https://doi.org/10.3390/diagnostics14040448.
  36. Fanghua Wang, Hui Yuan, Jieqin Lv, Xu Han, Zidong Zhou, Wantong Lu, Lijun Lu, Lei Jiang. Stress-only versus rest-stress SPECT MPI in the detection and diagnosis of myocardial ischemia and infarction by machine learning, Nuclear Medicine Communications, 45(1) (Jan 2024) 35–44. doi: https://doi.org/10.1097/MNM.0000000000001782.

    37. 2023

  37. Guoyu Lin, Zhentai Zhang, Kaixing Long, Yiwen Zhang, Yanmeng Lu, Jian Geng, Zhitao Zhou, Qianjin Feng, Lijun Lu, Lei Cao. GCLR: A self-supervised representation learning pretext task for glomerular filtration barrier segmentation in TEM images, Artificial Intelligence in Medicine, 146 (Dec 2023) 102720. doi:https://doi.org/10.1016/j.artmed.2023.102720
  38. Huiqin Wu, Xiaohui Liu, Lihong Peng, Yuling Yang, Zidong Zhou, Dongyang Du, Hui Xu, Wenbing Lv, Lijun Lu. Optimal batch determination for improved harmonization and prognostication of multi-center PET/CT radiomics feature in head and neck cancer, Physics in Medicine & Biology, 68 (22) (Nov 2023) 225014. doi:https://doi.org/10.1088/1361-6560/ad03d1
  39. Hui Xu, Wenbing Lv, Hao Zhang, Qingyu Yuan, Quanshi Wang, Yuankui Wu, Lijun Lu. Multimodality radiomics analysis based on [¹⁸F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis, European Radiology, 33 (2023) 6677–6688. doi:https://doi.org/10.1007/s00330-023-09606-z
  40. Hao Sun, Fanghu Wang, Yuling Yang, Xiaotong Hong, Weiping Xu, Shuxia Wang, Greta S. P. Mok, Lijun Lu. Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network, European Journal of Nuclear Medicine and Molecular Imaging, 50 (2023) 3630–3646. doi:https://doi.org/10.1007/s00259-023-06343-9
  41. Hao Sun, YU DU, Lijun Lu, Ching-Ni Lin, Guang-Uei Hung, Pai-Yi Chiu, Greta Mok. Cross-tracer and cross-scanner transfer learning-based attenuation map generation for brain SPECT, Journal of Nuclear Medicine, 64 (June 2023) P897. doi:https://jnm.snmjournals.org/content/64/supplement_1/P897.abstract
  42. Guoyu Lin, zhentai ZHANG, yanmeng LU, jian GENG, zhitao ZHOU, Lijun Lu,lei CAO. A region-level contrastive learning-based deep model for glomerular ultrastructure segmentation on electron microscope images, Journal of Southern Medical University, 43(5) (May 2023) 815-824. doi:https://pmc.ncbi.nlm.nih.gov/articles/PMC10267230/
  43. Hui Xu, Nassib Abdallah, Jean-Marie Marion, Pierre Chauvet, Clovis Tauber, Thomas Carlier, Lijun Lu, Mathieu Hatt. Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation, European Journal of Nuclear Medicine and Molecular Imaging, 50 (2023) 1720–1734. doi:https://doi.org/10.1007/s00259-023-06118-2
  44. Dongyang Du, Wenbing Lv, Jieqin Lv, Xiaohui Chen, Hubing Wu, Arman Rahmim, Lijun Lu. Deep learning-based harmonization of CT reconstruction kernels towards improved clinical task performance, European Radiology, 33 (2023) 2426–2438. doi:https://link.springer.com/article/10.1007/s00330-022-09229-w
  45. Wenbing Lv, Zidong Zhou, Junyi Peng, Lihong Peng, Guoyu Lin, Huiqin Wu, Hui Xu, Lijun Lu. Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging. Computer Methods and Programs in Biomedicine, 230 (2023) 107341. doi:https://doi.org/10.1016/j.cmpb.2023.107341
  46. Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, Zhongxiao Wang, Zhendong Cao, Lijun Lu, Wenbing Lv, Aihui Wang, Shuyan Li, Xiaotian Wu, Xianling Dong. Prognostic value of ¹⁸F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer. EJNMMI Research, 13 (2023) 14. doi:https://doi.org/10.1186/s13550-023-00959-6
  47. Lihong Peng, Hui Xu, Wenbing Lv, Lijun Lu, Wufan Chen. Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal ¹⁸F-FDG PET/CT. Cancers, 15 (2023) 932. doi:https://doi.org/10.3390/cancers15030932
  48. Yangmei Zhang, Fanghu Wang, Huiqin Wu, Yuling Yang, Weiping Xu, Shuxia Wang, Wufan Chen, Lijun Lu. An automatic segmentation method with self-attention mechanism on left ventricle in gated PET/CT myocardial perfusion imaging. Computer Methods and Programs in Biomedicine, 229 (2023) 107267. doi:https://doi.org/10.1016/j.cmpb.2022.107267
  49. Chunya Cai, Wenbing Lv, Feng Chi, Bailin Zhang, Lin Zhu, Geng Yang, Shiwu Zhao, Yuanhu Zhu, Xu Han, Zhenhui Dai, Xuetao Wang, Lijun Lu. Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma. Medical Physics, (2022). doi:https://doi.org/10.1002/mp.16044
    Chunya Cai and Wenbing Lv contributed equally to this work.

    50. 2022

  50. Shuyan Li, Jinghua Liu, Zhongxiao Wang, Zhendong Cao, Yifan Yang, Bingzhen Wang, Shiqi Xi, Lijun Lu, M. Iqbal Saripan, Xiaolei Zhang, Xianling Dong, Dong Wen. Application of PET/CT-based deep learning radiomics in head and neck cancer prognosis: a systematic review. MedNexus, (2022). doi:https://mednexus.org/doi/full/10.15212/RADSCI-2022-0006
  51. Xile Zhang, Jing Huang, Nan Liu, Lijun Lu, Jianhua Ma, Wufan Chen Wavelet-Transform Based Low-Dose CT Projection Filtering CT Theory and Applications, 2011, 20(2): 163-171. doi: https://www.cttacn.org.cn/article/id/23048
    Xile Zhang and Jing Huang contributed equally to this work.
  52. Xiaotong Hong, Fanghu Wang, Lijun Lu. Direct PET Parametric Imaging Using Deep Image Prior and a Parameter Amplification Strategy. 2022 IEEE Nuclear Science Symposium, IEEE, 2022. doi:https://ieeexplore.ieee.org/abstract/document/1039905
  53. Huiqin Wu, Wenbing Lv, Dongyang Du, Hui Xu, Guoyu Lin, Zidong Zhou. BAF-Net: Bidirectional Attention-aware Fluid Pyramid Feature Integrated Multi-modal Fusion Network for Prognosis. 2022 IEEE Nuclear Science Symposium, IEEE, 2022. doi:https://ieeexplore.ieee.org/abstract/document/10399186
  54. Zidong Zhou, Junyi Peng, Guoyu Lin, Huiqin Wu, Wenbing Lv, Lijun Lu. Graph Convolutional Network-based Functional-structural Sub-region Framework for Head and Neck Cancer Prognosis with PET/CT Imaging. 2022 IEEE Nuclear Science Symposium, IEEE, 2022. doi:https://ieeexplore.ieee.org/abstract/document/10399317
  55. Hao Sun, Fanghu Wang, Yuling Yang, Xiaotong Hong, Weiping Xu, Greta S. P. Mok. A Pilot Study of Attenuation Correction for Static and Dynamic ¹³N-Ammonia Cardiac PET Using a Conditional Generative Adversarial Network. 2022 IEEE Nuclear Science Symposium, IEEE, 2022. doi:https://ieeexplore.ieee.org/abstract/document/10399106
  56. Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt. Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images. Lecture Notes in Computer Science (LNCS, volume 13626), Springer Nature, 2023, pp154-165. doi:https://link.springer.com/chapter/10.1007/978-3-031-27420-6_16
  57. Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt. Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images. Lecture Notes in Computer Science (LNCS, volume 13626), Springer Nature, 2023, pp154-165. doi:https://link.springer.com/chapter/10.1007/978-3-031-27420-6_16
  58. Bo Wang, Lijun Lu, Huafeng Liu. DeTransUnet: attenuation correction of gated cardiac images without structural information. Physics in Medicine & Biology, Institute of Physics and Engineering in Medicine, 2022, 67(16): 165007. doi:10.1088/1361-6560/ac840e
  59. Hui Xu, Lijun Lu, Mathieu Hatt. Impact of intra-tumoral, peri-tumoral, and annular-tumoral radiomic features on prognostic modeling in multi-center head and neck tumor PET/CT imaging of HECKTOR challenge 2021. Journal of Nuclear Medicine (JNM), 2022, 63(supplement 2): 311. doi:https://jnm.snmjournals.org/content/63/supplement_2/311.abstract
  60. Dongyang Du, Isaac Shiri, Fereshteh Yousefizri, Habib Zaidi, Lijun Lu, Arman Rahmim. Effect of harmonization and oversampling methods on multi-center imbalanced PET datasets: Application to radiomics-based NSCLC-subtype prediction. Journal of Nuclear Medicine (JNM), 2022, 63(supplement 2): 3166. doi:https://jnm.snmjournals.org/content/63/supplement_2/3166.abstract
  61. Bao Yang, Long Zhou, Ling Chen, Lijun Lu, Huafeng Liu, Wentao Zhu. Cycle-consistent learning-based hybrid iterative reconstruction for whole-body PET imaging. Physics in Medicine & Biology, Institute of Physics and Engineering in Medicine, 2022, 67(8): 085016. doi:10.1088/1361-6560/ac5bfb
  62. Shuangyang Zhang, Li Qi, Xipan Li, Zhichao Liang, Xiangdong Sun, Jiaming Liu, Lijun Lu, Yanqiu Feng, Wufan Chen. MRI Information-Based Correction and Restoration of Photoacoustic Tomography. IEEE Transactions on Medical Imaging, IEEE, 41(9). doi:https://ieeexplore.ieee.org/abstract/document/975176
  63. Bo Wang, Lijun Lu, Huafeng Liu. Invertible AC-flow: Direct Attenuation Correction Of Pet Images Without Ct Or Mr Images. 2022 IEEE 19th International Conference, IEEE, 2022. doi:https://ieeexplore.ieee.org/abstract/document/9761476
  64. Wenbing Lv, Hui Xu, Xu Han, Hao Zhang, Jianhua Ma, Arman Rahmim, Lijun Lu. Context-Aware Saliency Guided Radiomics: Application to Prediction of Outcome and HPV-Status from Multi-Center PET/CT Images of Head and Neck Cancer. Cancers, MDPI, 202X, 14(7): 1674. doi:https://www.mdpi.com/2072-6694/14/7/1674
  65. Jieqin Lv, Xiaohui Chen, Xinran Liu, Dongyang Du, Wenbing Lv, Lijun Lu, Hubing Wu. Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma. Frontiers in Oncology, 2022, 12: 788968. doi:10.3389/fonc.2022.788968

    66. 2021

Authorized Patents

  1. 孙浩, 胡德斌, 黄衍超, 路利军. 正电子发射断层扫描图像衰减校正方法、系统及存储介质. 中国, 专利号: ZL202211239300.6
  2. 孙浩, 崔筱平, 胡德斌, 黄衍超, 吴惠琴, 路利军. 正电子发射断层扫描参数成像的方法、系统、装置及介质. 中国, 专利号: ZL202410652204.7