A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: experimental validation and comparison to expert delineations in multi-center, multi-vendor patient data
about
Experimental validation of contrast-enhanced SSFP cine CMR for quantification of myocardium at risk in acute myocardial infarction.Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography.Prospective comparison of novel dark blood late gadolinium enhancement with conventional bright blood imaging for the detection of scar.Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston.Cardiovascular Magnetic Resonance to Predict Appropriate Implantable Cardioverter Defibrillator Therapy in Ischemic and Nonischemic Cardiomyopathy Patients Using Late Gadolinium Enhancement Border Zone: Comparison of Four Analysis Methods.
P2860
A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: experimental validation and comparison to expert delineations in multi-center, multi-vendor patient data
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A new automatic algorithm for ...... ter, multi-vendor patient data
@ast
A new automatic algorithm for ...... ter, multi-vendor patient data
@en
type
label
A new automatic algorithm for ...... ter, multi-vendor patient data
@ast
A new automatic algorithm for ...... ter, multi-vendor patient data
@en
prefLabel
A new automatic algorithm for ...... ter, multi-vendor patient data
@ast
A new automatic algorithm for ...... ter, multi-vendor patient data
@en
P2093
P2860
P50
P1476
A new automatic algorithm for ...... ter, multi-vendor patient data
@en
P2093
Alexis Jacquier
Anthony H Aletras
Bernhard Metzler
David Erlinge
Frank Kober
Henrik Engblom
Jane Tufvesson
Marcus Carlsson
Pavel Hoffmann
Robert Jablonowski
P2860
P2888
P356
10.1186/S12968-016-0242-5
P577
2016-05-04T00:00:00Z
P6179
1045270050