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Open AccessJournal ArticleDOI

Neurological software tool for reliable atrophy measurement (NeuroSTREAM) of the lateral ventricles on clinical-quality T2-FLAIR MRI scans in multiple sclerosis.

TLDR
Brain atrophy measurement on clinical quality T2-FLAIR scans is feasible, accurate, reliable, and relates to clinical outcomes.
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This article is published in NeuroImage: Clinical.The article was published on 2017-01-01 and is currently open access. It has received 45 citations till now.

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Slowly expanding/evolving lesions as a magnetic resonance imaging marker of chronic active multiple sclerosis lesions

TL;DR: It is suggested that SELs reflect chronic tissue loss in the absence of ongoing acute inflammation, and may represent a conventional brain MRI correlate of chronic active MS lesions and a candidate biomarker for smoldering inflammation in MS.
Journal ArticleDOI

Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting.

TL;DR: Clinical, neuroimaging and composite outcome measures for MS, including patient-reported outcome measures, used in both trials and the clinical setting are discussed to help clinicians and researchers navigate through the multiple options encountered when choosing an outcome measure.
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Evidence of progressive tissue loss in the core of chronic MS lesions: A longitudinal DTI study.

TL;DR: A significant increase of isotropic water diffusion in the core of chronic stable MS lesions likely reflects gradual, self-sustained tissue destruction in demyelinated white matter that is more aggressive in males.
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Dietary and lifestyle factors in multiple sclerosis progression: results from a 5-year longitudinal MRI study

TL;DR: Lifestyle risk factors contribute to accelerated central brain atrophy in MS patients, whereas unhealthier diet is associated with MS lesion accrual, despite the lower overall effect when compared to HCs.
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Aging and Brain Atrophy in Multiple Sclerosis

TL;DR: This work estimated the aging effect on lateral ventricular volume (LVV) and whole brain volume (WBV) changes in MS patients and confirmed that brain atrophy accelerates at the age of 60 in healthy individuals and at disease onset in multiple sclerosis patients.
References
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Journal Article

Scikit-learn: Machine Learning in Python

TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
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Voxel-Based Morphometry—The Methods

TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

TL;DR: The methods and software engineering philosophy behind this new tool, ITK-SNAP, are described and the results of validation experiments performed in the context of an ongoing child autism neuroimaging study are provided, finding that SNAP is a highly reliable and efficient alternative to manual tracing.
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