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20192021
most citedLarge-scale image segmentation based on distributed clustering algorithms

10 citations · 11 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Donglai Wei, Kisuk Lee, Hanyu Li +13

Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries. However, due t…

cs.CV202110 cited

Large-scale image segmentation based on distributed clustering algorithms

Ran Lu, Aleksandar Zlateski, H. Sebastian Seung

Many approaches to 3D image segmentation are based on hierarchical clustering of supervoxels into image regions. Here we describe a distributed algorithm capable of handling a trem…

cs.CV20201 cited

Automated Neuron Shape Analysis from Electron Microscopy

Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell +17

Morphology based analysis of cell types has been an area of great interest to the neuroscience community for several decades. Recently, high resolution electron microscopy (EM) dat…

cs.CV2019

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…

cs.CV2019

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…