Output details
11 - Computer Science and Informatics
Imperial College London
Article title
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
30
Issue number
12
First page of article
2072
ISSN of journal
0278-0062
Year of publication
2011
URL
-
Number of additional authors
7
Additional information
<23>This is the first paper to use manifold learning to characterize how the brain of children born prematurely is developing. The paper is also the first paper to use a large cohort of subjects to define the average trajectory of brain development. The paper is an extension of the work first presented at the MICCAI 2010 conference and has led directly to an award of an EPSRC Healthcare Partnership grant (EP/I000445/1 > £1M) co-funded by the charity Action Medical Research. The work has also been presented in various public engagement activities including events at the Dana Centre in London.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
C - Visual Information Processing
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
