Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis-Reference-Cited by-同舟云学术

Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis

Published:2019-01-15 Issue:7 Volume:40 Page:2104-2116
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain Mapp.

Author:

O'Muircheartaigh Jonathan¹²³⁴^ORCID,Vavasour Irene⁵,Ljungberg Emil³^ORCID,Li David K. B.⁵⁶,Rauscher Alexander⁵⁷⁸,Levesque Victoria⁹,Garren Hideki⁹,Clayton David⁹,Tam Roger⁵⁶¹⁰,Traboulsee Anthony⁶¹¹,Kolind Shannon⁵⁶⁷¹¹

Affiliation:

1. Department of Forensic and Neurodevelopmental SciencesInstitute of Psychiatry Psychology and Neuroscience, King's College London London United Kingdom

2. Centre for the Developing Brain, Department of Perinatal Imaging and HealthSt. Thomas' Hospital, King's College London London United Kingdom

3. Department of NeuroimagingInstitute of Psychiatry Psychology and Neuroscience, King's College London London United Kingdom

4. MRC Centre for Neurodevelopmental DisordersKing's College London London United Kingdom

5. Department of RadiologyUniversity of British Columbia Vancouver British Columbia Canada

6. MS/MRI Research Group, Djavad Mowafaghian Centre for Brain HealthUniversity of British Columbia Vancouver British Columbia Canada

7. Department of Physics and AstronomyUniversity of British Columbia Vancouver British Columbia Canada

8. Department of PediatricsUniversity of British Columbia Vancouver British Columbia Canada

9. Genentech, Inc. South San Francisco California

10. School of Biomedical EngineeringUniversity of British Columbia Vancouver British Columbia Canada

11. Division of Neurology, Department of MedicineUniversity of British Columbia Vancouver British Columbia Canada

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24510

Reference70 articles.

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4. Imaging outcomes for neuroprotection and repair in multiple sclerosis trials

5. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

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