224 citations · 249 across the 4 of their papers we have counts for
7 papers
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
Jingpeng Wu, William M. Silversmith, Kisuk Lee +1
It is now common to process volumetric biomedical images using 3D Convolutional Networks (ConvNets). This can be challenging for the teravoxel and even petavoxel images that are be…
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Kisuk Lee, Nicholas Turner, Thomas Macrina +3
Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and eff…
Synaptic Partner Assignment Using Attentional Voxel Association Networks
Nicholas Turner, Kisuk Lee, Ran Lu +3
Connectomics aims to recover a complete set of synaptic connections within a dataset imaged by volume electron microscopy. Many systems have been proposed for locating synapses, an…
Reconstructing neuronal anatomy from whole-brain images
James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan +5
Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system. However, hi…
An Error Detection and Correction Framework for Connectomics
Jonathan Zung, Ignacio Tartavull, Kisuk Lee +1
We define and study error detection and correction tasks that are useful for 3D reconstruction of neurons from electron microscopic imagery, and for image segmentation more general…
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee, Jonathan Zung, Peter Li +2
For the past decade, convolutional networks have been used for 3D reconstruction of neurons from electron microscopic (EM) brain images. Recent years have seen great improvements i…