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Shulong Li
Biomedical Engineering
Southern Medical University
Guangdong
Language: Chinese, English
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Machine Learning Deep Learning Medical Imaging Ai Pancreatic Cancer Diagnosis Treatment Tensor Machine Radiomics Ct Imaging
Areas of Focus
  • Machine Learning and Deep Learning
  • Medical Image Analysis
  • Medical Artificial Intelligence
  • AI-assisted Diagnosis and Treatment Methods for Pancreatic Cancer
Work Experience
  • 2023.3–Present - Southern Medical University, School of Biomedical Engineering - Professor
  • 2013.1–2023.2 - Southern Medical University, School of Biomedical Engineering - Associate Professor
  • 2016.7–2017.11 - University of Texas Southwestern Medical Center, Department of Radiation Oncology - Visiting Scholar
  • 2008.7–2012.12 - Southern Medical University, School of Biomedical Engineering - Lecturer
Academic Background & Achievements
  • 2003.09–2008.06 Doctorate: Sun Yat-sen University, Basic Mathematics, Supervisor: Lixin Liu
  • 2007.10–2008.03 Doctorate: National Sun Yat-sen University, Applied Mathematics, Supervisor: Renzhi Yao
  • 1999.09–2003.06 Bachelor's: Minnan Normal University, Mathematics and Applied Mathematics, Supervisor: Jianping Cai
Publications
  • 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
Awards
  • Southern Medical University Outstanding Teacher (2015): Recognized for excellence in teaching
  • Southern Medical University Advanced Individual (2011): Recognized for outstanding contributions
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