High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns.
Slo-Li ChuKuniya AbeHideo YokotaDooseon ChoYuan-Hao ChenMing-Dar TsaiPublished in: EMBC (2021)
Keyphrases
- 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