Output details
11 - Computer Science and Informatics
University College London
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Output 0 of 0 in the submission
Article title
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease
Type
D - Journal article
Title of journal
NeuroImage
Article number
-
Volume number
51
Issue number
4
First page of article
1345
ISSN of journal
1053-8119
Year of publication
2010
Number of additional authors
8
Additional information
<23>Originality: presents a hippocampus segmentation method using a new voting technique for the fusion strategy of multiple solutions. Significance: The accurary results reported for the automatic segmentation of the hippocampus are the current state-of-the-art. This work is now included in several commercial clinical trials Phase 2 and 3 assessing new drugs in Alzheimer’s disease. It has also been licensed to a company. Rigour: the segmentation tool has been tested on the largest database publicly available on-line, with over 1,000 scans with up to 5 timepoints.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
78
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
