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  1. No Access

    Chapter and Conference Paper

    Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging

    Diffusion tensor imaging (DTI) is a promising imaging technique to non-invasively study diffusion properties and fiber structures of myocardial tissues. Previous studies have investigated the influence of nois...

    Yunlong He, Lihui Wang, Feng Yang, Yong **a… in Functional Imaging and Modeling of the Hea… (2021)

  2. No Access

    Chapter and Conference Paper

    Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation

    Myocardial shape and deformation are two relevant descriptors for the study of cardiac function and can undergo strong interactions depending on diseases. Manifold learning provides low dimensional representat...

    Maxime Di Folco, Nicolas Guigui… in Functional Imaging and Modeling of the Hea… (2021)

  3. No Access

    Chapter and Conference Paper

    Population-Based Personalization of Geometric Models of Myocardial Infarction

    We propose a strategy to perform population-based personalization of a model, to overcome the limits of case-based personalization for generating virtual populations from models that include randomness. We for...

    Kannara Mom, Patrick Clarysse… in Functional Imaging and Modeling of the Hea… (2021)

  4. No Access

    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)

  5. No Access

    Chapter and Conference Paper

    Reinforcement Learning for Active Modality Selection During Diagnosis

    Diagnosis through imaging generally requires the combination of several modalities. Algorithms for data fusion allow merging information from different sources, mostly combining all images in a single step. In...

    Gabriel Bernardino, Anders Jonsson… in Medical Image Computing and Computer Assis… (2022)

  6. No Access

    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)

  7. No Access

    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)