3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 3 cited
Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes
Gary B Huang, Huei-Fang Yang, Shin-ya Takemura +2
We propose a method to facilitate exploration and analysis of new large data sets. In particular, we give an unsupervised deep learning approach to learning a latent representation…
cs.CV2016
Fully-Automatic Synapse Prediction and Validation on a Large Data Set
Gary B. Huang, Louis K. Scheffer, Stephen M. Plaza
Extracting a connectome from an electron microscopy (EM) data set requires identification of neurons and determination of synapses between neurons. As manual extraction of this inf…
q-bio.QM2016
Large-Scale Electron Microscopy Image Segmentation in Spark
Stephen M. Plaza, Stuart E. Berg
The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of el…