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High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns.
Slo-Li Chu
Kuniya Abe
Hideo Yokota
Dooseon Cho
Yuan-Hao Chen
Ming-Dar Tsai
Published in:
EMBC (2021)
Keyphrases
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high resolution
low resolution
grid cells
spatio temporal
spatial information
ground truth
spatial and temporal
spatial data
spatial distribution
human interaction
spatial databases
remote sensing
magnetic resonance images
human behavior
spatial relations
field of view
data sets
high frequency
space time
wavelet transform
neural network
super resolution
image analysis
feature vectors
biologically inspired
high quality
artificial intelligence
temporal resolution
real time
sonar images