Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients

Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines

(2019) Massimo Filippi et al.   BRAIN

Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging

(2018) Antonios Danelakis et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Treatment of multiple sclerosis — success from bench to bedside

(2018) Mar Tintore et al.   Nature Reviews Neurology

Unraveling treatment response in multiple sclerosis

(2018) Claudio Gasperini et al.   NEUROLOGY

MR Imaging in Monitoring and Predicting Treatment Response in Multiple Sclerosis

(2017) Jordi Río et al.   NEUROIMAGING CLINICS OF NORTH AMERICA

Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields

(2016) M. Cabezas et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—clinical implementation in the diagnostic process

(2015) Àlex Rovira et al.   Nature Reviews Neurology

MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—establishing disease prognosis and monitoring patients

(2015)   Nature Reviews Neurology

Towards the implementation of ‘no evidence of disease activity’ in multiple sclerosis treatment: the multiple sclerosis decision model

(2014) Martin Stangel et al.   Therapeutic Advances in Neurological Disorders

Relating relapse and T2 lesion changes to disability progression in multiple sclerosis: a systematic literature review and regression analysis

(2013) Kyle Fahrbach et al.   BMC Neurology

Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI

(2013) Colm Elliott et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated identification of brain new lesions in multiple sclerosis using subtraction images

(2013) Marco Battaglini et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

MRI lesions as a surrogate for relapses in multiple sclerosis: a meta-analysis of randomised trials

(2013) Maria Pia Sormani et al.   LANCET NEUROLOGY

Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI

(2012) E.M. Sweeney et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Reliability of Classifying Multiple Sclerosis Disease Activity Using Magnetic Resonance Imaging in a Multiple Sclerosis Clinic

(2012) Ebru Erbayat Altay et al.   JAMA Neurology

Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods

(2011) J. E. Iglesias et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated detection of multiple sclerosis lesions in serial brain MRI

(2011) Xavier Lladó et al.   NEURORADIOLOGY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improved Detection of Active Multiple Sclerosis Lesions: 3D Subtraction Imaging

(2010) Bastiaan Moraal et al.   RADIOLOGY

Effect of natalizumab on clinical and radiological disease activity in multiple sclerosis: a retrospective analysis of the Natalizumab Safety and Efficacy in Relapsing-Remitting Multiple Sclerosis (AFFIRM) study

(2009) Eva Havrdova et al.   LANCET NEUROLOGY

Measures in the first year of therapy predict the response to interferon β in MS

(2009) J Río et al.   Multiple Sclerosis Journal