A Bayesian finite-element trained machine learning approach for predicting post-burn contraction. [PDF]
Neural Comput Appl, 2022 Egberts G +3 more
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A Statistical Mechanics Approach to Describe Cell Reorientation Under Stretch. [PDF]
Bull Math Biol, 2023 Loy N, Preziosi L.
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Examining the Factors that Contribute to Non-Monotonic Growth of the 2 f 1 − f 2 Otoacoustic Emission in Humans. [PDF]
J Assoc Res Otolaryngol, 2021 Mills ML, Shen Y, Withnell RH.
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Tumor growth towards lower extracellular matrix conductivity regions under Darcy's Law and steady morphology. [PDF]
J Math Biol, 2022 Zheng X, Zhao K, Jackson T, Lowengrub J.
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A nonlinear elastic description of cell preferential orientations over a stretched substrate. [PDF]
Biomech Model Mechanobiol, 2021 Lucci G, Preziosi L.
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Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction. [PDF]
Biomech Model Mechanobiol, 2023 Egberts G +3 more
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Derivation of continuum models from discrete models of mechanical forces in cell populations. [PDF]
J Math Biol, 2021 Lötstedt P.
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Stability of a two-dimensional biomorphoelastic model for post-burn contraction. [PDF]
J Math Biol, 2023 Egberts G, Vermolen F, van Zuijlen P.
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Stability of a one-dimensional morphoelastic model for post-burn contraction. [PDF]
J Math Biol, 2021 Egberts G, Vermolen F, van Zuijlen P.
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Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction. [PDF]
Biomech Model Mechanobiol, 2021 Egberts G, Vermolen F, van Zuijlen P.
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