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李淑龙

作者:  来源:   阅读量:  发布时间:2018-07-18 16:09:11

姓名:李淑龙

职称:副教授

联系邮箱:shulong@smu.edu.cn


v 学习经历

(1) 2003.092008.06, 中山大学, 基础数学, 博士, 导师: 刘立新

(2) 2007.102008.03, 台湾国立中山大学, 应用数学, 博士, 导师: 姚任之

(3) 1999.092003.06, 闽南师范大学, 数学与应用数学, 学士, 导师: 蔡建平


v 工作经历

(1) 2013.1-   至今, 南方医科大学, 生物医学工程学院, 副教授

(2) 2016.7-2017.11, 美国德州大学西南医学中心, 放射肿瘤系, 访问学者

(3) 2008.7-2012.12, 南方医科大学, 生物医学工程学院, 讲师


v 研究方向

Ø 机器学习及深度学习

Ø 医学影像分析

Ø 医学人工智能

Ø 医学影像人工智能

Ø 胰腺癌AI辅助诊疗方法研究



v 主要学术任职

广东省工业与应用数学学会,理事

广东省运筹学会,          理事

生物医学工程学会-AI分会   会员


v 主要获奖情况(科研获奖、人才类奖项)

1、南方医科大学南医优秀教师,2015年

2、南方医科大学先进个人,2011年


v 主要科研课题

1. 国家自然科学基金面上项目,11771456 ,Teichmuller空间的度量性质,2018/01-2021/12,48万元,在研,参加

2. 国家自然科学基金青年项目,11201219,平坦度量空间的若干研究,2013/01-2015/12,22万元,已结题,主持

3. 广东省教育厅育苗工程,2012LYM_0036,Teichmüller空间的长度谱度量,2012/12-2015/12,3万元,已结题,主持


v 代表性论文

期刊论文:

[1] Shulong Li(李淑龙), Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve Jiang , Jing Wang*, “A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT,” Medical Image Analysis, vol. 50, pp. 106-116, Dec, 2018. (JCR一区,IF=11.1)

[2] Shulong Li(李淑龙), Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Shiying Huang, Steve Jiang, and Jing Wang*, “Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features”. Phys Med Biol., 64 (17), 2019.

[3] Zhiguo Zhou, Shulong Li(李淑龙), Genggeng Qin, Michael Folkert, Steve Jiang, and Jing Wang*, “Multi-objective based radiomic feature selection for lesion malignancy classification,” IEEE Journal of Biomedical and Health Informatics, 24(1):194-204, 2020.

[4]. 徐盼盼,杨宁,李淑龙*. 基于支持张量机算法和3D 脑白质图像的阿尔兹海默症诊断. 中山大学学报(自然科学版). 2018. 57(2) 将出版。

[5]. 杨宁, 徐盼盼, 刘佩嘉, 李淑龙*. 基于张量法的阿尔兹海默症脑图像分类. 中山大学学报(自然科学版). 2017. 56(02): 40-47.

[6] Hongxia Hao, Zhiguo Zhou, Shulong Li(李淑龙), Genevieve Maquilan, Michael R. Folkert, Puneeth Iyengar, Kenneth D. Westover, Kevin Albuquerque, Fang Liu, Hak Choy, Robert Timmerman, Lin Yang, Jing Wang*, “Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer,” Physics In Medicine And Biology, vol. 63, no. 9, May, 2018.

[7] Yang BJ, Wu YJ, Zhou ZG, Shulong Li(李淑龙), Qin GG, Chen LY, et al. A collection input based support tensor machine for lesion malignancy classification in digital breast tomosynthesis. Phys Med Biol., 64(23), 2019.

[8] Ren Y, Tsai MY, Chen LY, Wang J, Shulong Li(李淑龙), Liu YF, et al. A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. Int J Comput Ass Rad., 15(2):287-95, 2020.

即将发表论文:

[1] Chenjie Zhou, Jianhua Ma, Xiaoping Xu, Lei Feng, Adilijiang Yimamu, Xianlong Wang, Zhiming Li, Jianhua Mo, Chengyan Huang, Dexia Kong, Yi Gao, Shulong Li(李淑龙)*. Predicting the risk of pancreatic cancer with a CT-based ensemble AI algorithm. arXiv: 2004.01388, Apr 2020.

[2] Zhiguo Zhou, Zhijie Zhou, Hongxia Hao, Shulong Li(李淑龙), Xi Chen, You Zhang, Michael R. Folkert, and Jing Wang*. “Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion”,arXiv.1710.01614. 2017.

会议论文:

[1] Shulong Li(李淑龙), Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Shiying Huang, Steve Jiang, and Jing Wang*, “Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features,” Medical Physics, vol. 45, no. 6, pp. E680-E680, 2018. (AAPM annual meeting, oral presentation)

[2] Shulong Li(李淑龙), Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve Jiang , Jing Wang*, A Support Tensor Machine Based Algorithm for Distant Failure Prediction in Lung SBRT. Int J Radiat Oncol 99, E686-E687, 2017. (SPIE annual meeting, oral presentation).

[3] Shulong Li(李淑龙), Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve Jiang , Jing Wang*, A Support Tensor Machine Based Algorithm for Distant Failure Prediction in Lung SBRT. Medical physics 44, 3186-3186, 2017. (AAPM annual meeting, oral presentation)

[4] Hongxia Hao, Zhiguo Zhou, Shulong Li(李淑龙), Genevieve Maquilan, Michael R. Folkert, Puneeth Iyengar, Kenneth D. Westover, Kevin Albuquerque, Fang Liu, Hak Choy, Robert Timmerman,, Jing Wang*, “Extended Shell Feature: Influence of Tumor Extension in Distant Metastasis Prediction for Non-Small Cell Lung Cancer,” Medical Physics, vol. 45, no. 6, pp. E679-E679, Jun, 2018. (AAPM annual meeting, oral presentation)

[5] Liyuan Chen, Chenyang Shen, Shulong Li(李淑龙), Genevieve Maquilan, Michael R. Folkert, Kevin Albuquerque, Jing Wang*, Automatic PET cervical tumor segmentation by deep learning with prior information, Image Processing, 2018: 111 (SPIE annual meeting, oral presentation).



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