11 citations · 12 across the 3 of their papers we have counts for
3 papers
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment
Adam Michaleas, Lars A. Gjesteby, Michael Snyder +10
This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluat…
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Toufiq Parag, Daniel Berger, Lee Kamentsky +5
Synaptic connectivity detection is a critical task for neural reconstruction from Electron Microscopy (EM) data. Most of the existing algorithms for synapse detection do not identi…
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Toufiq Parag, Fabian Tschopp, William Grisaitis +6
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals. Most of these neural reconstructions were computed…