28 citations · 49 across the 6 of their papers we have counts for
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cs.CV2021★ 1 cited
A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods
Dominik Drees, Xiaoyi Jiang
Advances in 3D imaging technology in recent years have allowed for increasingly high resolution volumetric images of large specimen. The resulting datasets of hundreds of Gigabytes…
cs.CV2021★ 10 cited
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images
Dominik Drees, Florian Eilers, Xiaoyi Jiang
The random walker method for image segmentation is a popular tool for semi-automatic image segmentation, especially in the biomedical field. However, its linear asymptotic run time…
cs.CV2021★ 28 cited
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets
Dominik Drees, Aaron Scherzinger, René Hägerling +2
Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but als…