Skip to search formSkip to main contentSkip to account menu

Convolution Kernel

An algorithm used to reconstruct imaging data. Convolution kernels can be used to filter images to smooth them and reduce noise or to enhance edges… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
In this paper, we apply the particle method to solve the numerical solution of a family of non-li-near Evolutionary Partial… 
2013
2013
Introduction: T2 weighted magnetic resonance imaging is routinely used for the detection of focal hepatic lesions [1]. However… 
2012
2012
TARGET AUDIENCE Scientists and engineers interested in reducing noise in multi-channel ultra-low-field MRI. PURPOSE One… 
2012
2012
TARGET AUDIENCE Scientists interested in reducing noise in spectroscopic imaging data acquired from a coil array. PURPOSE Fast MR… 
2011
2011
Convolution and cross-correlation are the basis of filtering and pattern or template matching in digital signal processing (DSP… 
2011
2011
Introduction Image ratio constrained reconstruction (IRCR) [1] is a generalized version of HYPR (HighlY constrained PRojection… 
2008
2008
Transverse dose profiles D(x,y) of narrow photon beams can be regarded as resulting from the convolution of a two-dimensional… 
2007
2007
INTRODUCTION One of the main difficulties for the quantification of metabolites in MRSI data arises from the presence of strong… 
2007
2007
This paper presents a real-time implementation of an audio analysis algorithm. The selected approach is based on two stages…