Stéphane Avril
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Mines Saint-Étienne Centre for Biomedical and Healthcare Engineering Saint-Étienne, France E-mail: avril@emse.fr |
Keywords:Parameter identification using full-field optical measurements; digital image/volume correlation; optical coherence tomography; virtual fields method; elastography; vascular remodeling and adaptation; vascular SMCs; traction force microscopy; mechanotransduction; mechanobiology of aneurysms; endovascular aneurysm repair |
Christian Cyron
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Technische Universität Hamburg Website |
Keywords: Machine learning and data-driven modeling in biomechanics; Constitutive Artificial Neural Networks (CANNs); growth and remodeling of soft biological tissues (physiological foundations, experimental observations, mathematical and computational modeling); biomechanics of the stomach (mechanics, electrophysiology, brain-stomach axis) |
Gerhard A. Holzapfel
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Graz University of Technology Website |
Keywords: Soft tissue biomechanics: from structure to macroscopic response; collagen fiber dispersion: identification and analysis; cross-linking of collagen fibers: the inverse Pointing effect; aortic dissection: pathological changes, experimental and in silico models; mechanics of brain tissue |
David Nordsletten
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University of Michigan Website |
Keywords: Cardiac biomechanics; patient-specific modeling; image-based modeling; model personalization; data assimilation; biomechanics of engineered heart tissues; fractional viscoelasticity; numerical methods; finite element methods; hemodynamic modeling; fluid-structure interaction; elastography; relative pressure estimation |
Ray W. Ogden
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University of Glasgow Website |
Keywords: Continuum mechanics essential for constitutive modeling of soft biological tissues; fiber-reinforced materials, fiber dispersion: the role of planar biaxial tests in characterizing material properties; residual stresses and their influence on material response; some modeling pitfalls |
Alfio Quarteroni
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Politecnico di Milano Website |
Keywords: Motivations, and methodological approach; modeling cardiovascular flows; physics-based mathematical models of cardiac function; data-based algorithms from machine learning and artificial neural networks; combined data-based and physics-based algorithms; application to clinically relevant problems |