14 citations · 15 across the 4 of their papers we have counts for
4 papers
EM and XRM Connectomics Imaging and Experimental Metadata Standards
Miguel E. Wimbish, Nicole K. Guittari, Victoria A. Rose +8
High resolution volumetric neuroimaging datasets from electron microscopy (EM) and x-ray micro and holographic-nano tomography (XRM/XHN) are being generated at an increasing rate a…
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha +17
Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense a…
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…
Annotating Synapses in Large EM Datasets
Stephen M. Plaza, Toufiq Parag, Gary B. Huang +3
Reconstructing neuronal circuits at the level of synapses is a central problem in neuroscience and becoming a focus of the emerging field of connectomics. To date, electron microsc…