Eric Hofesmann

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Identifying white matter connectivity patterns in the human brain derived from neuroimaging data is an important area of research in computational medicine. Recently, machine learning techniques typically use region-toregion or hub-base connectivity features to understand how the brain is organized, and then use this information to predict the clinical(More)
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