640 citations · 1k across the 3 of their papers we have counts for
3 papers
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
Compressed Sensing MRI (CS-MRI) has provided theoretical foundations upon which the time-consuming MRI acquisition process can be accelerated. However, it primarily relies on itera…
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…