Hailong Li, PhD, is a Research Associate in the lab. He received his BS degree in Automation, and MS degree in Control Theory and Engineering from Northeastern University (Shenyang, China). He earned his Ph.D. degree in Computer Science in 2013 from The University of Cincinnati (Cincinnati, OH, US). He finished a post-doctoral training in Biomedical Informatics of Cincinnati Children’s Hospital Medical Center (Cincinnati, Oh, US) in 2016. His research focuses on applying machine learning algorithms to medical image analysis. Specifically, he applied novel deep learning models (e.g., deep neural networks (DNN), deep convolutional neural networks (CNN), U-Net, and graph convolutional networks (GCN), etc.) to diagnosis and prognosis of neurodevelopment, Autism, ADHD, as well as liver fibrosis. His current studies include risk prediction in very preterm neonates using structural and functional MRI data, Autism of adolescents and adults using functional connecotme, and liver stiffness and fibrosis of adolescents using anatomical MRI abdominal images. He is familiar with advanced machine learning tools, such as TensorFlow, Keras, and Python.
Machine learning; deep learning; medical image processing and analysis
Post-doc Research Fellow
Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2016.
Doctor of Philosophy (Ph.D.)
Computer Science and Engineering, University of Cincinnati, Cincinnati, OH, 2013.
Master of Science (M.S.)
Control Theory and Engineering, Northeastern University, China, 2007.
Bachelor of Science (B.S)
Automation, Northeastern University, China, 2004