Detection of white matter abnormalities in MR brain images for diagnosis of autism in children


This paper introduces a novel computer-aided diagnosis (CAD) system for the diagnosis of autism from magnetic resonance (MR) brain images of children. The proposed framework has two main components. First, cerebral white matter (CWM) is segmented from the brain volume using an adaptive shape model that is built from a set of co-aligned training images. A… (More)
DOI: 10.1109/ISBI.2016.7493198


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Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 2 years.

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