Clinical validation of three-dimensional tortuosity metrics based on the minimum curvature of approximating polynomial splines.
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Image analysis in medical imaging: recent advances in selected examples.Medical record and imaging evaluation to identify arterial tortuosity phenotype in populations at risk for intracranial aneurysms.Studying the interaction of stent-grafts and treated abdominal aortic aneurysms: time to move caudally!Effects of Vessel Tortuosity on Coronary Hemodynamics: An Idealized and Patient-Specific Computational Study.
P2860
Clinical validation of three-dimensional tortuosity metrics based on the minimum curvature of approximating polynomial splines.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
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2007年學術文章
@zh-hant
name
Clinical validation of three-d ...... roximating polynomial splines.
@en
Clinical validation of three-d ...... roximating polynomial splines.
@nl
type
label
Clinical validation of three-d ...... roximating polynomial splines.
@en
Clinical validation of three-d ...... roximating polynomial splines.
@nl
prefLabel
Clinical validation of three-d ...... roximating polynomial splines.
@en
Clinical validation of three-d ...... roximating polynomial splines.
@nl
P1476
Clinical validation of three-d ...... proximating polynomial splines
@en
P2093
Michael J Johnson
P304
P356
10.1016/J.MEDENGPHY.2007.02.009
P577
2007-04-06T00:00:00Z