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李淑龙
shulong@smu.edu.cn
中文, 英文
广东
南方医科大学
Biomedical Engineering
  • 2003.09–2008.06 博士: 中山大学, 基础数学, 导师: 刘立新
  • 2007.10–2008.03 博士: 台湾国立中山大学, 应用数学, 导师: 姚任之
  • 1999.09–2003.06 学士: 闽南师范大学, 数学与应用数学, 导师: 蔡建平
  • 2023.3–至今 - 南方医科大学, 生物医学工程学院 - 教授
  • 2013.1–2023.2 - 南方医科大学, 生物医学工程学院 - 副教授
  • 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
  • 2008.7–2012.12 - 南方医科大学, 生物医学工程学院 - 讲师
  • 南方医科大学南医优秀教师 (2015): 教学卓越
  • 南方医科大学先进个人 (2011): 杰出贡献
机器学习及深度学习
医学影像分析
医学人工智能
胰腺癌AI辅助诊疗方法
  • A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT, Shulong Li, Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve Jiang, Jing Wang, 2018
  • Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features, Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Shiying Huang, Steve Jiang, Jing Wang, 2019
  • A multimodal model fusing multiphase contrast-enhanced CT and clinical characteristics for predicting lymph node metastases of pancreatic cancer, Qian Lu, Haojie Zhang, Lidu Liang, Qifan Zhang, Xuemin Chen, Xiaowu Xu, J. Guodong Zhao, Yi Gao, Qing Peng, Shulong Li, 2022
  • Multi-objective based radiomic feature selection for lesion malignancy classification, Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve Jiang, Jing Wang, 2020
  • aFaster RCNN: A multi-disease stage pancreatic lesion detection model based on plain CT, Lidu Liang, Haojie Zhang, Qian Lu, Chenjie Zhou, Shulong Li, 2023
  • Classification of Alzheimer's brain images based on tensor method, Ning Yang, Panpan Xu, Peijia Liu, Shulong Li, 2017
  • Diagnosis of Alzheimer's disease based on support tensor machine algorithm and 3D brain white matter images, Panpan Xu, Ning Yang, Shulong Li, 2018
  • Learning CT chord diagrams and body part recognition based on convolutional neural networks, Shilin Chen, Shulong Li, Jianhua Ma, 2021
  • Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer, Hongxia Hao, Zhiguo Zhou, Shulong Li, Genevieve Maquilan, Michael R. Folkert, Puneeth Iyengar, Kenneth D. Westover, Kevin Albuquerque, Fang Liu, Hak Choy, Robert Timmerman, Lin Yang, Jing Wang, 2018
  • A collection input based support tensor machine for lesion malignancy classification in digital breast tomosynthesis, BJ Yang, YJ Wu, ZG Zhou, Shulong Li, GG Qin, LY Chen, 2019
  • A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification, Y Ren, MY Tsai, LY Chen, J Wang, Shulong Li, YF Liu, 2020
机器学习 深度学习 医学影像 人工智能 胰腺癌 诊断 治疗 张量机 放射组学 Ct成像

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