activity
20172019
most citedDirect White Matter Bundle Segmentation using Stacked U-Nets

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Combined tract segmentation and orientation mapping for bundle-specific tractography

Jakob Wasserthal, Peter Neher, Dusan Hirjak +1

While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms…

cs.CV2018

Tract orientation mapping for bundle-specific tractography

Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein

While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms…

cs.CV2018

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of c…

cs.CV2018

TractSeg - Fast and accurate white matter tract segmentation

Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein

The individual course of white matter fiber tracts is an important key for analysis of white matter characteristics in healthy and diseased brains. Uniquely, diffusion-weighted MRI…

cs.CV20174 cited

Direct White Matter Bundle Segmentation using Stacked U-Nets

Jakob Wasserthal, Peter F. Neher, Fabian Isensee +1

The state-of-the-art method for automatically segmenting white matter bundles in diffusion-weighted MRI is tractography in conjunction with streamline cluster selection. This proce…