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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… Expand
National Institutes of Health

Papers overview

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2017
2017
Cognitive load recognition has been widely studied recently, but how to find the effective and robust feature representations… Expand
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2015
2015
A patient-specific scatter correction algorithm is proposed to mitigate scatter artefacts in cone-beam CT (CBCT). The approach… Expand
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2014
2014
Abstract A semilinear parabolic problem of second order with an unknown time-convolution kernel is considered. The missing kernel… Expand
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2011
2011
Gridding based non-uniform fast Fourier transform (NUFFT) has recently been shown as an efficient method of processing non… Expand
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2009
2009
In spiking neural networks, asynchronous spike events are processed in parallel by neurons. Emulations of such networks are… Expand
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2003
2003
The algorithm of Liu and Nguyen [IEEE Microw. Guided Wave Lett. 8 (1) (1998) 18; SIAM J. Sci. Comput. 21 (1) (1999) 283] for… Expand
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Highly Cited
1999
Highly Cited
1999
In this study we analysed the accuracy of computed tomography (CT) measurements in assessing cortical bone. We determined the… Expand
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1998
1998
One of the most important parameters in the characterization of a detector is its spatial convolution kernel. This kernel… Expand
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Highly Cited
1997
Highly Cited
1997
When constructing MR images from acquired spatial frequency data, it can be beneficial to apply a low-pass filter to remove high… Expand
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1990
1990
Maximum entropy reconstruction has been used in several fields to produce visually striking reconstructions of positive objects… Expand
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