Automated algorithm for reconstruction of the complete spine from multistation 7T MR data.
about
Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data.Ultra-high field magnetic resonance imaging of the basal ganglia and related structuresSpinal cord MRI at 7T.Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging.Super-resolution reconstruction of late gadolinium-enhanced MRI for improved myocardial scar assessment.
P2860
Automated algorithm for reconstruction of the complete spine from multistation 7T MR data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Automated algorithm for recons ...... from multistation 7T MR data.
@ast
Automated algorithm for recons ...... from multistation 7T MR data.
@en
Automated algorithm for recons ...... from multistation 7T MR data.
@nl
type
label
Automated algorithm for recons ...... from multistation 7T MR data.
@ast
Automated algorithm for recons ...... from multistation 7T MR data.
@en
Automated algorithm for recons ...... from multistation 7T MR data.
@nl
prefLabel
Automated algorithm for recons ...... from multistation 7T MR data.
@ast
Automated algorithm for recons ...... from multistation 7T MR data.
@en
Automated algorithm for recons ...... from multistation 7T MR data.
@nl
P2093
P2860
P50
P356
P1476
Automated algorithm for recons ...... from multistation 7T MR data.
@en
P2093
Andrew Webb
Jorik Blaas
Monique Reijnierse
Rob J van der Geest
P2860
P304
P356
10.1002/MRM.24404
P577
2012-07-20T00:00:00Z