Automated identification of brain new lesions in multiple sclerosis using subtraction images-Reference-Cited by-同舟云学术

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

Published:2013-10-31 Issue:6 Volume:39 Page:1543-1549
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Battaglini Marco¹,Rossi Francesca¹,Grove Richard A.²,Stromillo Maria Laura¹,Whitcher Brandon³⁴,Matthews Paul M.⁵⁶,De Stefano Nicola¹

Affiliation:

1. Department of Medicine; Surgery and Neuroscience; University of Siena; Siena Italy

2. Neurosciences Clinical Statistics GlaxoSmithKline; Uxbridge UK

3. Mango Solutions; Chippenham UK

4. Imperial College, Statistics Group; Department of Mathematics; London UK

5. Imperial College, Division of Brain Sciences; Department of Medicine; London UK

6. Clinical Imaging Centre GlaxoSmithKline; London UK

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Reference26 articles.

1. Magnetic resonance (MR) imaging as a marker for multiple sclerosis;Castelijns;Biomed Pharmacother,1999

2. MR imaging intensity modeling of damage and repair in multiple sclerosis: relationship of short-term lesion recovery to progression and disability;Meier;AJNR Am J Neuroradiol,2007

3. Clinical trials in multiple sclerosis: methodological issues;Comi;Curr Opin Neurol,2005

4. A Phase II study of the safety and efficacy of teriflunomide in multiple sclerosis with relapses;O'Connor;Neurology,2006

5. MRI contrast uptake in new lesions in relapsing-remitting MS followed at weekly intervals;Cotton;Neurology,2003

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