47 citations · 159 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski +2
Convolutional nets have been shown to achieve state-of-the-art accuracy in many biomedical image analysis tasks. Many tasks within biomedical analysis domain involve analyzing volu…
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection
Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan +1
Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for re…
Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph
Aleksandar Zlateski, H. Sebastian Seung
We present a method for hierarchical image segmentation that defines a disaffinity graph on the image, over-segments it into watershed basins, defines a new graph on the basins, an…