most citedatTRACTive: Semi-automatic white matter tract segmentation using active learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 2 cited

atTRACTive: Semi-automatic white matter tract segmentation using active learning

Robin Peretzke, Klaus Maier-Hein, Jonas Bohn +6

Accurately identifying white matter tracts in medical images is essential for various applications, including surgery planning and tract-specific analysis. Supervised machine learn…