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Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
Venkateswararao Cherukuri
, Tiantong Guo
, Steven J. Schiff
,
Vishal Monga
Department of Neurosurgery
Engineering Science and Mechanics
Center for Neural Engineering
Huck Institutes of the Life Sciences
Center for Interdisciplinary Mathematics
Electrical Engineering
Penn State Neuroscience Institute
College of Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
52
Scopus citations
Overview
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Dive into the research topics of 'Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors'. Together they form a unique fingerprint.
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Keyphrases
Brain Magnetic Resonance Imaging
100%
Deep Learning Methods
50%
Differentiable Function
50%
Existing State
50%
Hardware Constraints
50%
High Resolution Magnetic Resonance Image
50%
Image Comparison
50%
Image Database
50%
Image Enhancement
50%
Image Matrix
50%
Image Prior
50%
Image Quality Assessment
50%
Image Resolution
50%
Image Structure
50%
Image Super-resolution
100%
Laplacian
100%
Magnetic Resonance Imaging
100%
Network Architecture
100%
Network Parameters
50%
Prior-Guided
100%
Processing Constraints
50%
Publicly Available
50%
Spatio
100%
State-of-the-art Techniques
50%
Super-resolution
100%
Training Data
50%
Computer Science
Approximation (Algorithm)
25%
Computer Hardware
25%
Deep Learning Method
25%
Image Database
25%
Image Enhancement
25%
Image Quality
25%
Laplace Operator
50%
Network Architecture
50%
Network Parameter
25%
Quality Measure
25%
super resolution
100%
Training Data
25%