Search Results for author: Daniel Haehn

Found 6 papers, 2 papers with code

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

1 code implementation16 May 2020 Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin-Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis.

TRAKO: Efficient Transmission of Tractography Data for Visualization

1 code implementation26 Apr 2020 Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi

Fiber tracking produces large tractography datasets that are tens of gigabytes in size consisting of millions of streamlines.

Fast Mitochondria Detection for Connectomics

no code implementations MIDL 2019 Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

High-resolution connectomics data allows for the identification of dysfunctional mitochondria which are linked to a variety of diseases such as autism or bipolar.

Guided Proofreading of Automatic Segmentations for Connectomics

no code implementations CVPR 2018 Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister

Automatic cell image segmentation methods in connectomics produce merge and split errors, which require correction through proofreading.

Semantic Segmentation

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