55 citations · 146 across the 12 of their papers we have counts for
13 papers
Autoproof: Automated Segmentation Proofreading for Connectomics
Gary B Huang, William M Katz, Stuart Berg +1
Producing connectomes from electron microscopy (EM) images has historically required a great deal of human proofreading effort. This manual annotation cost is the current bottlenec…
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…
Large-scale EM Analysis of the Drosophila Antennal Lobe with Automatically Computed Synapse Point Clouds
Ting Zhao, Shin-ya Takemura, Gary B. Huang +7
The promise of extracting connectomes and performing useful analysis on large electron microscopy (EM) datasets has been an elusive dream for many years. Tracing in even the smalle…
Graphene Sails with Phased Array Optical Drive - Towards More Practical Interstellar Probes
Louis K. Scheffer
A spacecraft pushed by radiation has the major advantage that the power source is not included in the accelerated mass, making it the preferred technique for reaching relativistic…
Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version
Toufiq Parag, Stephen Plaza, Louis Scheffer
Pixel and superpixel classifiers have become essential tools for EM segmentation algorithms. Training these classifiers remains a major bottleneck primarily due to the requirement…
A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
Toufiq Parag, Anirban Chakraborty, Stephen Plaza +1
Electron Microscopy (EM) image (or volume) segmentation has become significantly important in recent years as an instrument for connectomics. This paper proposes a novel agglomerat…