Related references
Note: Only part of the references are listed.Accuracy and reproducibility of a quantitative magnetic resonance imaging method for concurrent measurements of tissue relaxation times and proton density
Wolfgang Krauss et al.
MAGNETIC RESONANCE IMAGING (2015)
EVIDENCE-BASED GUIDELINES MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-establishing disease prognosis and monitoring patients
Mike P. Wattjes et al.
NATURE REVIEWS NEUROLOGY (2015)
Effects of Gadolinium Contrast Agent Administration on Automatic Brain Tissue Classification of Patients with Multiple Sclerosis
J. B. M. Warntjes et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2014)
Normal Appearing and Diffusely Abnormal White Matter in Patients with Multiple Sclerosis Assessed with Quantitative MR
Janne West et al.
PLOS ONE (2014)
Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis
M. Vagberg et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2013)
Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis
H. Vrenken et al.
JOURNAL OF NEUROLOGY (2013)
Multiple sclerosis: new measures to monitor the disease
Massimo Filippi et al.
LANCET NEUROLOGY (2013)
Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths
Janne West et al.
PLOS ONE (2013)
Synthetic MRI of the brain in a clinical setting
I. Blystad et al.
ACTA RADIOLOGICA (2012)
Evaluation of Automatic Measurement of the Intracranial Volume Based on Quantitative MR Imaging
K. Ambarki et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2012)
Novel whole brain segmentation and volume estimation using quantitative MRI
J. West et al.
EUROPEAN RADIOLOGY (2012)
Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis
V. Popescu et al.
NEUROIMAGE (2012)
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
Paul Schmidt et al.
NEUROIMAGE (2012)
Within-subject template estimation for unbiased longitudinal image analysis
Martin Reuter et al.
NEUROIMAGE (2012)
MR Imaging of Brain Volumes: Evaluation of a Fully Automatic Software
K. Ambarki et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2011)
Treatment of early multiple sclerosis: the value of treatment initiation after a first clinical episode
D. S. Goodin et al.
MULTIPLE SCLEROSIS (2009)
Imaging outcomes for neuroprotection and repair in multiple sclerosis trials
Frederik Barkhof et al.
NATURE REVIEWS NEUROLOGY (2009)
Brain volume decline in aging
Anthony F. Fotenos et al.
ARCHIVES OF NEUROLOGY (2008)
Disability and T2 MRI lesions:: a 20-year follow-up of patients with relapse onset of multiple sclerosis
L. K. Fisniku et al.
BRAIN (2008)
MRI in multiple sclerosis: current status and future prospects
Rohit Bakshi et al.
LANCET NEUROLOGY (2008)
Rapid magnetic resonance quantification on the brain: Optimization for clinical usage
J. B. M. Warnties et al.
MAGNETIC RESONANCE IN MEDICINE (2008)
Novel method for rapid, simultaneous T1, T2*, and proton density quantification
J. B. M. Warntjes et al.
MAGNETIC RESONANCE IN MEDICINE (2007)
Brain atrophy in multiple sclerosis: what we know and would like to know
J. H. Simon
MULTIPLE SCLEROSIS JOURNAL (2006)
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich et al.
NEUROIMAGE (2006)
Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance
David H. Miller et al.
BRAIN (2002)