most citedUncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification

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eess.IV2024★ 1 cited

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification

Ben Philps, Maria del C. Valdes Hernandez, Chen Qin +8

White Matter Hyperintensities (WMH) are key neuroradiological markers of small vessel disease present in brain MRI. Assessment of WMH is important in research and clinics. However,…