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    Chapter and Conference Paper

    Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning

    We aim at better understanding the mechanisms of ischemia and reperfusion, in the context of acute myocardial infarction. For this purpose, imaging and in particular magnetic resonance imaging are of great val...

    Benoît Freiche, Patrick Clarysse in Statistical Atlases and Computational Mode… (2022)

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    Chapter and Conference Paper

    Influence of Morphometric and Mechanical Factors in Thoracic Aorta Finite Element Modeling

    Evaluation of mechanical properties from thoracic aorta finite element (FE) modeling can help to better stratify patients in need of intervention. This paper assesses the influence of various factors in the co...

    Ruifen Zhang, Monica Sigovan in Statistical Atlases and Computational Mode… (2022)

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    Chapter and Conference Paper

    Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling

    The diagnosis of cardiovascular illnesses uses multiple modalities in order to obtain a complete and as robust as possible assessment of the heart. However, when addressing distinct pathologies, not all inform...

    Gabriel Bernardino, Patrick Clarysse in Statistical Atlases and Computational Mode… (2022)