45 citations · 47 across the 4 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2025★ 1 cited
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
Andrew M Birnbaum, Adam Buchwald, Peter Turkeltaub +7
Purpose: The goal of this work was to develop a deep network for whole-head segmentation including clinical MRIs with abnormal anatomy, and compile the first public benchmark datas…
eess.IV2019
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
Lukas Hirsch, Yu Huang, Lucas C Parra
Purpose: Conventional automated segmentation of the head anatomy in MRI distinguishes different brain and non-brain tissues based on image intensities and prior tissue probability…