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… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1983-2017
051019832017

Papers overview

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2016
2016
The Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of… (More)
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2015
2015
A new approach has been developed by combining the K-mean clustering (KMC) method and a modified convolution kernel compensation… (More)
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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… (More)
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Highly Cited
2010
Highly Cited
2010
Human action recognition is an important topic in the field of computer vision. We use Gabor filter in 3D CNNs models in… (More)
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2009
2009
The two-dimensional lateral dose profiles D(x, y) of narrow photon beams, typically used for beamlet-based IMRT, stereotactic… (More)
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2007
2007
This paper deals with the problem of electrocardiogram (ECG) detection and classification. We introduce a novel approach using… (More)
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2004
2004
RATIONALE AND OBJECTIVE The aim of this study was to systematically compare the ability to assess the coronary artery lumen in… (More)
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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… (More)
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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… (More)
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1990
1990
Maximum entropy reconstruction has been used in several fields to produce visually striking reconstructions of positive objects… (More)
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