Masked smoothing using separable kernels for CT perfusion images. - Wikidata - awgldk - TriplyDB

Masked smoothing using separable kernels for CT perfusion images.

Masked smoothing using separable kernels for CT perfusion images.

http://www.wikidata.org/entity/Q35229347

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Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition

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Masked smoothing using separable kernels for CT perfusion images.

http://www.wikidata.org/entity/Q35229347

description

2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Masked smoothing using separable kernels for CT perfusion images.

@ast

Masked smoothing using separable kernels for CT perfusion images.

@en

type

label

Masked smoothing using separable kernels for CT perfusion images.

@ast

Masked smoothing using separable kernels for CT perfusion images.

@en

prefLabel

Masked smoothing using separable kernels for CT perfusion images.

@ast

Masked smoothing using separable kernels for CT perfusion images.

@en

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1471-2342-14-28

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BMC Medical Imaging

P1476

Masked smoothing using separable kernels for CT perfusion images.

@en

P2093

Adnan H Siddiqui

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David S Wack

http://www.w3.org/2001/XMLSchema#string

Kenneth V Snyder

http://www.w3.org/2001/XMLSchema#string

Kevin F Seals

http://www.w3.org/2001/XMLSchema#string

P2860

Robust smoothing of gridded data in one and higher dimensions with missing values

Differences in CT perfusion maps generated by different commercial software: quantitative analysis by using identical source data of acute stroke patients.

MATHEMATICAL METHODS IN MEDICAL IMAGE PROCESSING

TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps.

Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke.

Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography.

Image quality in CT perfusion imaging of the brain. The role of iodine concentration.

Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans.

Mathematical methods in medical image processing

Axioms and fundamental equations of image processing

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1471-2342-14-28

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28

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scholarly article

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10.1186/1471-2342-14-28

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14

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2014-08-21T00:00:00Z

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