activity
20172025
most citedTractSeg - Fast and accurate white matter tract segmentation

741 citations · 1.3k across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2025★ 6 cited

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning

Maximilian Fischer, Peter Neher, Peter Schüffler +9

Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling of these data-intensive images r…

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…

cs.CV2019★ 185 cited

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★ 7 cited

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★ 387 cited

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★ 741 cited

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.CV2017★ 4 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…