Professor | Lijun Lu | Asia Growth Partners

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Name	Lijun Lu
Contact Information	lulijun@smu.edu.cn
Language ability	English, Chinese
Province	Guangdong

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Name

Lijun Lu

Contact Information

lulijun@smu.edu.cn

Language ability

English, Chinese

Province

Guangdong

University/Lab Affiliation and Title	Southern Medical University
Faculty	Biomedical Engineering
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
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
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

University/Lab Affiliation and Title

Southern Medical University

Faculty

Biomedical Engineering

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

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

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

Areas of Focus	Dynamic PET Myocardial Perfusion Imaging Magnetic Field Compatible PET Imaging Radiomics Study of Nasopharyngeal Carcinoma PET-CT Data
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

Areas of Focus

Dynamic PET Myocardial Perfusion Imaging
Magnetic Field Compatible PET Imaging
Radiomics Study of Nasopharyngeal Carcinoma PET-CT Data

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

Pet Myocardial Perfusion Imaging Dynamic Magnetic Field Compatibility Nasopharyngeal Carcinoma Radiomics Data Analysis Quantitative Analysis

Chu Miao - Shanghai Jiao Tong University

Yuanyuan Gao - Southern Medical University

Yang Bao - Southern Medical University

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