Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning.
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Iron Oxide as an MRI Contrast Agent for Cell TrackingEvolving role of MRI in optimizing the treatment of multiple sclerosis: Canadian Consensus recommendations.A comprehensive literatures update of clinical researches of superparamagnetic resonance iron oxide nanoparticles for magnetic resonance imaging.The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.MRI monitoring of monocytes to detect immune stimulating treatment response in brain tumor.USPIO-positive MS lesions are associated with greater tissue damage than gadolinium-positive-only lesions during 3-year follow-up.Myelin-specific T cells carry and release magnetite PGLA–PEG COOH nanoparticles in the mouse central nervous system
P2860
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P2860
Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning.
description
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
Predictive value of imaging ma ...... nced MRI and machine learning.
@ast
Predictive value of imaging ma ...... nced MRI and machine learning.
@en
type
label
Predictive value of imaging ma ...... nced MRI and machine learning.
@ast
Predictive value of imaging ma ...... nced MRI and machine learning.
@en
prefLabel
Predictive value of imaging ma ...... nced MRI and machine learning.
@ast
Predictive value of imaging ma ...... nced MRI and machine learning.
@en
P2093
P2860
P50
P1433
P1476
Predictive value of imaging ma ...... anced MRI and machine learning
@en
P2093
Adil Maarouf
Alessandro Crimi
Ayman Tourbah
Christian Barillot
Elise Bannier
Gilles Edan
Olivier Commowick
P2860
P304
P356
10.1371/JOURNAL.PONE.0093024
P407
P577
2014-04-01T00:00:00Z