248 citations · 513 across the 11 of their papers we have counts for
3 papers · 1 filter
Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction
Jan Funke, Fabian David Tschopp, William Grisaitis +4
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy…
The Candidate Multi-Cut for Cell Segmentation
Jan Funke, Chong Zhang, Tobias Pietzsch +1
Two successful approaches for the segmentation of biomedical images are (1) the selection of segment candidates from a merge-tree, and (2) the clustering of small superpixels by so…
Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy
Larissa Heinrich, John A. Bogovic, Stephan Saalfeld
The most sophisticated existing methods to generate 3D isotropic super-resolution (SR) from non-isotropic electron microscopy (EM) are based on learned dictionaries. Unfortunately,…