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Norms for Automatic Estimation of White Matter Hyperintensities Burden: LST-AI Service in NeuGRID

2026-06-22

Abstract excerpt

<h4>Background: </h4> White Matter Hyperintensities (WMH) are common MRI markers of cerebral small-vessel disease and are associated with cognitive impairment and dementia. Deep Learning (DL) tools have improved WMH segmentation, enabling faster and more reproducible lesion quantification. However, the lack of normative reference frameworks limits the clinical and translational use of WMH volumes. <h4>Methods:</h4...

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Literature Corpus work
ff18f014-4895-5711-a576-4b2810df7e8d
DOI
10.20944/preprints202606.1568.v1
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Norms for Automatic Estimation of White Matter Hyperintensities Burden: LST-AI Service in NeuGRIDDOI 10.20944/preprints202606.1568.v1
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