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Lijun Lu
Biomedical Engineering
Southern Medical University
Guangdong
Language: English, Chinese
Pet
Myocardial Perfusion
Imaging
Dynamic
Magnetic Field
Compatibility
Nasopharyngeal Carcinoma
Radiomics
Data Analysis
Quantitative Analysis
Areas of Focus
- Dynamic PET Myocardial Perfusion Imaging
- Magnetic Field Compatible PET Imaging
- Radiomics Study of Nasopharyngeal Carcinoma PET-CT Data
Work Experience
- 2023/12 – Present - Southern Medical University, Department of Medical Engineering, Professor/Doctoral Supervisor/Director
- 2019/6 – 2023/12 - Southern Medical University, Institute of Medical Information, Professor/Doctoral Supervisor/Deputy Director
- 2018/3 – 2019/6 - Southern Medical University, Institute of Medical Information, Associate Professor/Doctoral Supervisor/Deputy Director
- 2017/9 – 2019/6 - Southern Medical University, Institute of Medical Information, Associate Professor/Doctoral Supervisor
- 2015/9 – 2019/6 - Southern Medical University, Institute of Medical Information, Associate Professor
- 2012/8 – 2015/8 - Southern Medical University, Institute of Medical Information, Lecturer
Academic Background & Achievements
- 2007.09–2012.07 Doctorate: Southern Medical University, Biomedical Engineering
- 2011.04–2012.04 Visiting Doctoral Student: Johns Hopkins University, Radiology
- 2003.09–2007.07 Bachelor's: Hubei University of Technology, Electronic Information Engineering
Publications
- Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network, H Sun, F Wang, Y Yang, X Hong, W Xu, S Wang*, GSP Mok*, L Lu*, 2023
- Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation, H Xu, N Abdallah, J Marion, P Chauvet, C Tauber, T Carlier, L Lu*, Mathieu Hatt, 2023
- Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer, W Lv, S Ashrafinia, J Ma*, L Lu*, A Rahmim, 2020
- Dynamic PET image reconstruction incorporating a median nonlocal means kernel method, S Cao, Y He, H Sun, H Wu, W Chen*, L Lu*, 2021
- Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT, W Lv, Q Yuan, Q Wang, J Ma, J Jiang, W Yang, Q Feng, W Chen, A Rahmim, L Lu*, 2021
- Deep learning–based harmonization of CT reconstruction kernels towards improved clinical task performance, D Du, W Lv, J Lv, X Chen, H Wu, A Rahmim, L Lu*, 2023
- Multimodality radiomics analysis based on [18F]FDG PET/CT imaging and multisequence MRI: Application to nasopharyngeal carcinoma prognosis, H Xu, W Lv, H Zhang, Q Yuan, Q Wang, Y Wu, L Lu*, 2023
- Prognostic generalization of multi‐level CT‐dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma, C Cai, W Lv, F Chi, B Zhang, L Zhu, G Yang, S Zhao, Y Zhu, X Han, Z Dai*, X Wang*, L. Lu*, 2022
- Evaluation and optimization of radiomics features stability to respiratory motion in 18F‐FDG 3D PET imaging, H Xu, W Lv, H Zhang, J Ma, P Zhao, L Lu*, 2021
- Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization, Lijun Lu, Wenbing Lv, Jun Jiang, Jianhua Ma*, Qianjin Feng*, Arman Rahmim, Wufan Chen, 2016
Awards
- Guangdong Pearl River Young Scholar (2018): Awarded for outstanding contributions in the field
- Guangzhou Pearl River Science and Technology New Star (2016): Recognized for innovative research
- Guangdong Province Technology Invention Second Prize (2016): Seventh contributor
