Professor | Ting Song | Asia Growth Partners

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Name	Ting Song
Contact Information	tingsong2015@smu.edu.cn
Language ability	Chinese, English
Province	Guangdong

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Name

Ting Song

Contact Information

tingsong2015@smu.edu.cn

Language ability

Chinese, English

Province

Guangdong

University/Lab Affiliation and Title	Southern Medical University
Faculty	Biomedical Engineering
Academic Background & Achievements	2006.09-2010.06 Bachelor: Southern Medical University, Computer Science and Technology 2010.09-2015.06 Doctorate: Southern Medical University, Biomedical Engineering 2013.01-2013.09 Visiting Doctoral Student: University of California, San Diego, Department of Radiation Oncology 2013.10-2015.01 Visiting Doctoral Student: University of Texas Southwestern Medical Center, Department of Radiation Oncology
Work Experience	2015.09-2018.02 - Southern Medical University, Institute of Medical Instruments, Lecturer 2018.03-Present - Southern Medical University, Institute of Medical Instruments, Associate Professor
Awards	2024 National College Student Statistical Modeling Competition Second Prize (Lu Renyi), Advisor 2024 National Biomedical Engineering Competition Third Prize (Zeng Jiaqi), Advisor 2023 National Biomedical Engineering Competition First Prize (Zhou Xuanru), Advisor 2023 National Graduate Student Scholarship (Zhou Xuanru), Advisor 2022 National Graduate Student Scholarship (Xiao Fan), Advisor

University/Lab Affiliation and Title

Southern Medical University

Faculty

Biomedical Engineering

Academic Background & Achievements

2006.09-2010.06 Bachelor: Southern Medical University, Computer Science and Technology
2010.09-2015.06 Doctorate: Southern Medical University, Biomedical Engineering
2013.01-2013.09 Visiting Doctoral Student: University of California, San Diego, Department of Radiation Oncology
2013.10-2015.01 Visiting Doctoral Student: University of Texas Southwestern Medical Center, Department of Radiation Oncology

Work Experience

2015.09-2018.02 - Southern Medical University, Institute of Medical Instruments, Lecturer
2018.03-Present - Southern Medical University, Institute of Medical Instruments, Associate Professor

Awards

2024 National College Student Statistical Modeling Competition Second Prize (Lu Renyi), Advisor
2024 National Biomedical Engineering Competition Third Prize (Zeng Jiaqi), Advisor
2023 National Biomedical Engineering Competition First Prize (Zhou Xuanru), Advisor
2023 National Graduate Student Scholarship (Zhou Xuanru), Advisor
2022 National Graduate Student Scholarship (Xiao Fan), Advisor

Areas of Focus	Tumor Radiotherapy Physics (Plan Design and Optimization, Dose Calculation, etc.) Radiotherapy Plan Big Data and Artificial Intelligence Advanced Radiotherapy Technologies (MRI-only Radiotherapy, Proton Radiotherapy, Heavy Ion Radiotherapy, etc.)
Publications	Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT, Yongbao Li, Wenwen Cai, Fan Xiao, Xuanru Zhou, Jiajun Cai, Linghong Zhou, Wen Dou, Ting Song, 2023 Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation, Xuanru Zhou, Wenwen Cai, Jiajun Cai, Fan Xiao, Mengke Qi, Jiawen Liu, Linghong Zhou, Yongbao Li, Ting Song, 2023 Cross-engine transformation-based fast dose calculation for MRI-Linac online treatment planning, Ting Song, Linghong Zhou, Yongbao Li, 2023 Development of a GPU-superposition Monte Carlo code for fast dose calculation in magnetic fields, Yongbao Li, Wenzhao Sun, Hongdong Liu, Shouliang Ding, Bin Wang, Xiaoyan Huang, Ting Song, 2022 TransDose: a transformer-based UNet model for fast and accurate dose calculation for MR-LINACs, Fan Xiao, Jiajun Cai, Xuanru Zhou, Linghong Zhou, Ting Song, Yongbao Li, 2022 Multi-sequence MR generated sCT is promising for HNC MR-only RT: a comprehensive evaluation of previously developed sCT generation networks, Mengke Qi, Yongbao Li, Aiqian Wu, Xingyu Lu, Linghong Zhou, Ting Song, 2022 Deep learning-based 3D in vivo dose reconstruction with EPID for MR-LINACs: A proof of concept study, Yongbao Li, Fan Xiao, Biaoshui Liu, Mengke Qi, Xingyu Lu, Jiajun Cai, Linghong Zhou, Ting Song, 2021 Extension and validation of a GPU-Monte Carlo dose engine gDPM for 1.5 T MR-LINAC online independent dose verification, Yongbao Li, Shouliang Ding, Bin Wang, Hongdong Liu, Xiaoyan Huang, Ting Song, 2021 Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy, Mengke Qi, Yongbao Li, Aiqian Wu, Qiyuan Jia, Bin Li, Wenzhao Sun, Zhenhui Dai, Xingyu Lu, Linghong Zhou, Xiaowu Deng, Ting Song, 2020 Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases, Aiqian Wu, Yongbao Li, Mengke Qi, Xingyu Lu, Qiyuan Jia, Futong Guo, Zhenhui Dai, Yyuliang Liu, Chaomin Chen, Linghong Zhou, Ting Song, 2020

Areas of Focus

Tumor Radiotherapy Physics (Plan Design and Optimization, Dose Calculation, etc.)
Radiotherapy Plan Big Data and Artificial Intelligence
Advanced Radiotherapy Technologies (MRI-only Radiotherapy, Proton Radiotherapy, Heavy Ion Radiotherapy, etc.)

Publications

Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT, Yongbao Li, Wenwen Cai, Fan Xiao, Xuanru Zhou, Jiajun Cai, Linghong Zhou, Wen Dou, Ting Song, 2023
Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation, Xuanru Zhou, Wenwen Cai, Jiajun Cai, Fan Xiao, Mengke Qi, Jiawen Liu, Linghong Zhou, Yongbao Li, Ting Song, 2023
Cross-engine transformation-based fast dose calculation for MRI-Linac online treatment planning, Ting Song, Linghong Zhou, Yongbao Li, 2023
Development of a GPU-superposition Monte Carlo code for fast dose calculation in magnetic fields, Yongbao Li, Wenzhao Sun, Hongdong Liu, Shouliang Ding, Bin Wang, Xiaoyan Huang, Ting Song, 2022
TransDose: a transformer-based UNet model for fast and accurate dose calculation for MR-LINACs, Fan Xiao, Jiajun Cai, Xuanru Zhou, Linghong Zhou, Ting Song, Yongbao Li, 2022
Multi-sequence MR generated sCT is promising for HNC MR-only RT: a comprehensive evaluation of previously developed sCT generation networks, Mengke Qi, Yongbao Li, Aiqian Wu, Xingyu Lu, Linghong Zhou, Ting Song, 2022
Deep learning-based 3D in vivo dose reconstruction with EPID for MR-LINACs: A proof of concept study, Yongbao Li, Fan Xiao, Biaoshui Liu, Mengke Qi, Xingyu Lu, Jiajun Cai, Linghong Zhou, Ting Song, 2021
Extension and validation of a GPU-Monte Carlo dose engine gDPM for 1.5 T MR-LINAC online independent dose verification, Yongbao Li, Shouliang Ding, Bin Wang, Hongdong Liu, Xiaoyan Huang, Ting Song, 2021
Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy, Mengke Qi, Yongbao Li, Aiqian Wu, Qiyuan Jia, Bin Li, Wenzhao Sun, Zhenhui Dai, Xingyu Lu, Linghong Zhou, Xiaowu Deng, Ting Song, 2020
Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases, Aiqian Wu, Yongbao Li, Mengke Qi, Xingyu Lu, Qiyuan Jia, Futong Guo, Zhenhui Dai, Yyuliang Liu, Chaomin Chen, Linghong Zhou, Ting Song, 2020

Radiotherapy Tumor Physics Plan Design Optimization Dose Calculation Big Data Artificial Intelligence Mri Proton Therapy

Yang Bao - Southern Medical University

Linghong Zhou - Southern Medical University

Zheyu Shen - Southern Medical University

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