University of Pittsburgh

Overcoming challenges in neuroimaging applications with computer vision

Assistant Professor, School of Computing and Information
Date: 
Friday, February 7, 2020 - 1:00pm - 1:30pm

Abstract: Many problems in neuroimaging aim to better understand the underlying mechanism of various neurodegenerative diseases such as Alzheimer’s disease. For instance, to better understand the structural integrity of the brain suffering from a neurodegenerative disease, we analyze the brain network to derive its association with disease-specific risk factors. Such neuroimaging tasks, if accomplished using appropriate methods, may directly or indirectly aid the following clinical applications. I will show how some statistical and machine learning models can help us to overcome various data- and domain-specific challenges. Several examples will be presented, including some of our recent preliminary work on brain image segmentation.

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