Skip to main content
Browse by:

Effective March 10, 2020, all Duke-sponsored events over 50 people have been cancelled, rescheduled, postponed or virtualized.
Please check with the event contact regarding event status. For more information, please see

+DS IPLE: Machine Learning in Neuroimaging

Event Image
Icon calendar
Thursday, April 16, 2020
Icon time
4:30 pm - 6:30 pm
Icon location
Icon speaker
Andrew Michael
Icon series
+DS In-Person Learning Experiences

This training will consist of two main sections: (1) application of ML to brain images from a clinical archive to detect brain disorders and (2) extraction of brain features from a large publicly available dataset to better understand mental health. After a brief introduction to the fundamentals of brain imaging, the first part of the class will focus on using structural brain MRI to diagnose and predict autism. Next, a deep learning technique will be applied to estimate brain volume from head CT (computed tomography) images that have poor image contrast. This technique's potential for early detection and tracking Alzheimer's disease will be presented. In the second part of the class, resting-state functional MRI (rsfMRI) data will be used to identify brain markers that may help to better understand the gender disparity in mental health. The class will conclude with evidence that suggests that rsfMRI has individually unique patterns that may serve as brain markers of certain behavioral characteristics. This session is part of the Duke+Data Science (+DS) program in-person learning experiences (IPLEs). To learn more, please visit