Output details
11 - Computer Science and Informatics
University of the West of Scotland
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Output 0 of 0 in the submission
Article title
Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model
Type
D - Journal article
Title of journal
Medical Image Analysis
Article number
-
Volume number
15
Issue number
3
First page of article
283
ISSN of journal
13618415
Year of publication
2011
URL
-
Number of additional authors
6
Additional information
<28> Medical Image Analysis paper (2011): This paper proposed an automatic unsupervised 4D myocardium segmentation method, which subsequently led to a regional government funded grant (VA376A11-2, P.I.: Dr. Marcos Martín-Fernández, marcma@tel.uva.es) awarded for the period 2011-2012 with a budget of 30k€. Authors from Laboratory of Image Processing (LPI) contributed to the project by developing segmentation methods based on the paper proposal for the right ventricle. Authors from Hospital Clínico Universitario focused on the clinical part of the study related to cardiac problems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
