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Prediction of Abdominal Aortic Aneurysm Growth using Dynamical Gaussian Process Implicit Surface
OBJECTIVE: We propose a novel approach to predict the Abdominal Aortic Aneurysm (AAA) growth in future time, using longitudinal computer tomography (CT) scans of AAAs that are captured at different times in a patient-specific way. METHODS: We adopt a formulation that considers a surface of the AAA a...
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| Veröffentlicht in: | IEEE Trans Biomed Eng |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6414317/ https://ncbi.nlm.nih.gov/pubmed/29993480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2852306 |
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