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1 Ergebnisse
1
Detecting Clinically Meaningful Shape Clusters in Medical I..:
Bruse, JL
;
Zuluaga, MA
;
Khushnood, A
...
https://discovery.ucl.ac.uk/id/eprint/1542916/7/Bruse%20VoR%2007857751.pdf. , 2017
Link:
https://discovery.ucl.ac.uk/id/eprint/1542916/7/Bruse%..
RT Journal T1 <Title>Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering applied to Healthy and Pathological Aortic Arches</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:1542916&Exemplar=1&LAN=DE A1 Bruse, JL A1 Zuluaga, MA A1 Khushnood, A A1 McLeod, K A1 Ntsinjana, HN A1 Hsia, TY A1 Sermesant, M A1 Pennec, X A1 Taylor, AM A1 Schievano, S YR 2017 K1 statistical shape analysis K1 Aortic arch K1 automatic segmentation K1 cardiovascular magnetic resonance imaging K1 clinical decision support K1 congenital heart disease K1 hierarchical clustering JF https://discovery.ucl.ac.uk/id/eprint/1542916/7/Bruse%20VoR%2007857751.pdf LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/1542916/7/Bruse%20VoR%2007857751.pdf DO https://discovery.ucl.ac.uk/id/eprint/1542916/7/Bruse%20VoR%2007857751.pdf SF ELIB - SuUB Bremen
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