Super-resolution in cardiac MRI using a Bayesian approach

2013 ◽  
Author(s):  
Nelson Velasco Toledo ◽  
Andrea Rueda ◽  
Cristina Santa Marta ◽  
Eduardo Romero
Keyword(s):  
Bayesian Approach ◽  
Cardiac Mri ◽  
Super Resolution

scholarly journals Bayesian analysis of data from segmented super-resolution images for quantifying protein clustering

2020 ◽  
Vol 22 (3) ◽  
pp. 1107-1114
Author(s):  
Tina Košuta ◽  
Marta Cullell-Dalmau ◽  
Francesca Cella Zanacchi ◽  
Carlo Manzo
Keyword(s):  
Bayesian Analysis ◽  
Relative Abundance ◽  
Bayesian Approach ◽  
Super Resolution ◽  
Molecular Aggregates ◽  
Protein Clustering ◽  
Precise Quantification

A Bayesian approach enables the precise quantification of the relative abundance of molecular aggregates of different stoichiometry from segmented super-resolution images.

scholarly journals Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI

Radiology ◽  
2020 ◽  
Vol 295 (3) ◽  
pp. 552-561 ◽  
Author(s):  
Evan M. Masutani ◽  
Naeim Bahrami ◽  
Albert Hsiao
Keyword(s):  
Deep Learning ◽  
Cardiac Mri ◽  
Super Resolution ◽  
Single Frame
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