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 1 of their papers we have counts for

collaborators

1 paper

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…