1 citations · 1 across the 2 of their papers we have counts for
4 papers
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Wushi Dong, Murat Keceli, Rafael Vescovi +9
Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling network (FFN) architecture has demons…
Training on the Edge: The why and the how
Navjot Kukreja, Alena Shilova, Olivier Beaumont +4
Edge computing is the natural progression from Cloud computing, where, instead of collecting all data and processing it centrally, like in a cloud computing environment, we distrib…
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling
Yan Zhang, G. M. Dilshan Godaliyadda, Nicola Ferrier +3
Analytical electron microscopy and spectroscopy of biological specimens, polymers, and other beam sensitive materials has been a challenging area due to irradiation damage. There i…
In-situ 3D Imaging of Catalysis Induced Strain in Gold Nanoparticles
Andrew Ulvestad, Kiran Sasikumar, Jong Woo Kim +9
Multi-electron transfer processes, such as hydrogen and oxygen evolution reactions, are crucially important in energy and biological science but require favorable catalysts to achi…