Skip to main navigation
Skip to search
Skip to main content
University of Edinburgh Research Explorer Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Datasets
Prizes
Activities
Press/Media
Equipment
Search by expertise, name or affiliation
Computational methods to assess enlarged perivascular spaces - A systematic review and testing of key discriminants in a sample
Valdes Hernandez, Maria
(Principal Investigator)
Wardlaw, Joanna
(Co-investigator)
Piper, Rory J
(Student)
Wang, Xin
(Student)
Deanery of Clinical Sciences
Centre for Clinical Brain Sciences
Edinburgh Neuroscience
Edinburgh Imaging
Deanery of Molecular, Genetic and Population Health Sciences
Small Vessel Disease Research
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/06/12
→
13/07/12
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Perivascular Space
Medicine and Dentistry
100%
Systematic Review
Medicine and Dentistry
100%
Lacune
Neuroscience
100%
Magnetic Resonance Imaging
Neuroscience
100%
Magnetic Resonance Imaging of Brain
Neuroscience
50%
Neuroinflammation
Medicine and Dentistry
16%
Small Vessel Disease
Medicine and Dentistry
16%
Reproducibility
Medicine and Dentistry
16%
Research output
Research output per year
2013
2013
2013
1
Literature review
Research output per year
Research output per year
Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: A systematic review
Hernández, M. D. C. V.
, Piper, R. J., Wang, X.,
Deary, I. J.
&
Wardlaw, J. M.
,
Oct 2013
,
In:
Journal of Magnetic Resonance Imaging.
38
,
4
,
p. 774-785
12 p.
Research output
:
Contribution to journal
›
Literature review
›
peer-review
Perivascular Space
100%
Systematic Review
100%
Magnetic Resonance Imaging
100%
Lacune
100%
Magnetic Resonance Imaging of Brain
50%