李淑龙

姓名：李淑龙

职称：教授

联系邮箱：shulong@smu.edu.cn

v 学习经历

(1) 2003.09–2008.06, 中山大学, 基础数学, 博士, 导师: 刘立新

(2) 2007.10–2008.03, 台湾国立中山大学, 应用数学, 博士, 导师: 姚任之

(3) 1999.09–2003.06, 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) 2023.03---至今，南方医科大学，生物医学工程学院，教授

(2) 2013.1-2023.02, 南方医科大学, 生物医学工程学院, 副教授

(3) 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

(4) 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

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，82172024 ，病灶溯源模型驱动的平扫CT胰腺癌早期检测智能方法研究，2022/01-2025/12，55万元，在研，主持

2.国家自然科学基金面上项目，11771456 ，Teichmuller空间的度量性质，2018/01-2021/12，7万元/48万元，结题，第二。

3. 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

4. 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] Qian Lu, Haojie Zhang, Lidu Liang, Qifan Zhang, XueminChen, XiaowuXu, and J. Guodong Zhao, Yi Gao, Qing Peng, and Shulong Li(李淑龙)*, "A multimodal model fusing multiphase contrast-enhanced CT and clinical characteristics for predicting lymph node metastases of pancreatic cancer," Physics In Medicine And Biology, 67 (175002), 2022.

[4] 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.

[5] 梁利渡，张浩杰，鲁 倩，周陈杰*，李淑龙*. aFaster RCNN：一种基于平扫 CT 的多疾病阶段胰腺病灶检测模型. 南方医科大学学报, 2023, 43(5): 755-763. doi: 10.12122/j.issn.1673-4254.2023.05.11.

[6] 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), 56(2): 40-47, 2017.

[7] 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), 57(2): 52-60, 2018.

[8] 陈诗琳, 李淑龙*, 马建华*. 基于卷积神经网络的CT弦图学习与身体部位识别[J]. 中山大学学报(自然科学版), 60(4): 154-163, 2021.

[9] 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.

[10] 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.

[11] 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.

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).