23 Mar

Personalized Neuroimaging Data Analysis Using Machine Learning

March 23, 2023
11:00 AM 12:00 PM

Holloway Hall | Bavaro 116

Guest Lecture

Personalized Neuroimaging Data Analysis Using Machine Learning

Hongming Li, PhD

Neuroimaging techniques have provided powerful tools for investigating the anatomy and functional organization of the human brain, and its changes in normal brain development and different brain diseases. In recent years, machine learning has increasingly been playing important roles for extracting quantitative and individualized information from neuroimaging data. In this talk, I will present our work in developing machine learning algorithms for personalized neuroimaging data analysis, including: 1) Personalized brain functional network identification from functional MRI and its application in several neuroscientific studies. 2) Early prognosis and patient stratification in Alzheimer’s disease dementia using structural MRI data. 3) Deep learning algorithms for fast and accurate brain image registration and TMS E-field estimation, which will potentially facilitate personalized analysis in relevant studies.

Hongming Li HeadshotDr. Hongming Li is a senior research investigator in the Department of Radiology at the University of Pennsylvania. His research focuses on the development of computational methods for medical imaging data analysis, especially for neuroimaging data. His methodological focus has been on machine learning and deep learning methods applied to large imaging and clinical data, including personalized brain functional network analysis, predictive modeling, image registration, image segmentation, and radiomics. His clinical research specializes in brain development, brain aging, Alzheimer's disease, dementia, brain stimulation, and survival analysis.