4 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
DaCapo: a modular deep learning framework for scalable 3D image segmentation
William Patton, Jeff L. Rhoades, Marwan Zouinkhi +9
DaCapo is a specialized deep learning library tailored to expedite the training and application of existing machine learning approaches on large, near-isotropic image data. In this…
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain
Larissa Heinrich, Jan Funke, Constantin Pape +2
Neural circuit reconstruction at single synapse resolution is increasingly recognized as crucially important to decipher the function of biological nervous systems. Volume electron…
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,…