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20182026
most citedwmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T

5 citations · 5 across the 4 of their papers we have counts for

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Showing 2024 · eess.IVShow all

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eess.IV2024★ 5 cited

wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T

Jinghang Li, Tales Santini, Yuanzhe Huang +4

White matter hyperintensity (WMH) remains the top imaging biomarker for neurodegenerative diseases. Robust and accurate segmentation of WMH holds paramount significance for neuroim…