Strategy for analysis of flow diverting devices based on multi-modality image-based modeling.
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Blood flow in intracranial aneurysms treated with Pipeline embolization devices: computational simulation and verification with Doppler ultrasonography on phantom modelsTowards Predicting Patient-Specific Flow-Diverter Treatment Outcomes for Bifurcation Aneurysms: From Implantation Rehearsal to Virtual AngiogramsRelationship between aneurysm occlusion and flow diverting device oversizing in a rabbit modelHemodynamic analysis of fast and slow aneurysm occlusions by flow diversion in rabbits
P2860
Strategy for analysis of flow diverting devices based on multi-modality image-based modeling.
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2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին 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
Strategy for analysis of flow ...... modality image-based modeling.
@ast
Strategy for analysis of flow ...... modality image-based modeling.
@en
Strategy for analysis of flow ...... modality image-based modeling.
@nl
type
label
Strategy for analysis of flow ...... modality image-based modeling.
@ast
Strategy for analysis of flow ...... modality image-based modeling.
@en
Strategy for analysis of flow ...... modality image-based modeling.
@nl
prefLabel
Strategy for analysis of flow ...... modality image-based modeling.
@ast
Strategy for analysis of flow ...... modality image-based modeling.
@en
Strategy for analysis of flow ...... modality image-based modeling.
@nl
P2093
P2860
P356
P1476
Strategy for analysis of flow ...... modality image-based modeling.
@en
P2093
David Kallmes
Fernando Mut
Juan R Cebral
Ramanathan Kadirvel
Yong-Hong Ding
P2860
P304
P356
10.1002/CNM.2638
P577
2014-04-09T00:00:00Z