296 citations · 414 across the 4 of their papers we have counts for
4 papers
ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features
Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin +2
The alignment of serial-section electron microscopy (ssEM) images is critical for efforts in neuroscience that seek to reconstruct neuronal circuits. However, each ssEM plane conta…
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan, David G. C. Hildebrand, Won-Ki Jeong
Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy…
Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening
Arthur W. Wetzel, Jennifer Bakal, Markus Dittrich +3
The detailed reconstruction of neural anatomy for connectomics studies requires a combination of resolution and large three-dimensional data capture provided by serial section elec…
Finding Mirror Symmetry via Registration
Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott
Symmetry is prevalent in nature and a common theme in man-made designs. Both the human visual system and computer vision algorithms can use symmetry to facilitate object recognitio…