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Abstract #7954

Methods for Single Subject Brain Analysis

Duygu Tosun1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve clinically relevant single-subject predictions. We will discuss the rationale behind a computational approach to neuroimaging-based single-subject inference, focusing on its potential for characterising disease mechanisms in individual subjects and mapping these characterisations to clinical predictions.

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