VERMOLEN, Fred

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VERMOLEN, Fred
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fred.vermolen@uhasselt.be
 
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Type:  Journal Contribution

Results 1-20 of 20 (Search time: 0.003 seconds).

Issue DateTitleContributor(s)TypeCat.
12023Analysis of linearized elasticity models with point sources in weighted Sobolev spaces: applications in tissue contractionBoon, Wietse M.; VERMOLEN, FredJournal ContributionA1
22023Stability of a two-dimensional biomorphoelastic model for post-burn contractionEGBERTS, Ginger; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
32023Physical confinement and cell proximity increase cell migration rates and invasiveness: A mathematical model of cancer cell invasion through flexible channelsPENG, Qiyao; VERMOLEN, Fred; Weihs, DaphneJournal ContributionA1
42023High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulationsEGBERTS, Ginger; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
52023Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substratesAhmed, Riham K.; Abdalrahman, Tamer; Davies, Neil H.; VERMOLEN, Fred; Franz, ThomasJournal ContributionA1
62022Scar formation from the perspective of complexity science: a new look at the biological system as a wholeKorkmaz, H. Ibrahim; Niessen, Frank B.; Pijpe, Anouk; Sheraton, Vivek M.; VERMOLEN, Fred; Krijnen, Paul Aj; Niessen, Hans Wm; Sloot, Peter Ma; Middelkoop, Esther; Gibbs, Susan; van Zuijlen, Paul PmJournal ContributionA1
72022Comparison between a phenomenological approach and a morphoelasticity approach regarding the displacement of extracellular matrixPENG, Qiyao; Gorter, W. S.; VERMOLEN, FredJournal ContributionA1
82022On the fundamental solutions-based inversion of Laplace matricesVERMOLEN, Fred; den Bakker, D. R.; Vuik, C.Journal ContributionA1
92022A Bayesian finite-element trained machine learning approach for predicting post-burn contractionEGBERTS, Ginger; Schaaphok, Marianne; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
102022Sensitivity of a two-dimensional biomorphoelastic model for post-burn contractionEGBERTS, Ginger; Desmouliere, Alexis; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
112022Point forces in elasticity equation and their alternatives in multi dimensionsPENG, Qiyao; VERMOLEN, FredJournal ContributionA1
122022Numerical Methods to Compute Stresses and Displacements from Cellular Forces: Application to the Contraction of TissuePENG, Qiyao; VERMOLEN, FredJournal ContributionA1
132022The future of burn care from a complexity science perspectiveVan Zuijlen, Paul; Korkmaz, H; Sheraton, Vivek; Haanstra, Tsjitske; Pijpe, Anouk; De Vries, Annebeth; Van Der Vlies, Cornelis; Bosma, Eelke; De Jong, Evelien; Middelkoop, Esther; VERMOLEN, Fred; Sloot, PeterJournal ContributionA1
142021Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contractionEGBERTS, Ginger; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
152021Computational mathematics aspects of flow and mechanics of porous mediaVERMOLEN, Fred; Rodrigo, Carmen; Gaspar, Francisco; Kumar, KundanJournal ContributionA2
162021A formalism for modelling traction forces and cell shape evolution during cell migration in various biomedical processesPENG, Qiyao; VERMOLEN, Fred; Weihs, DJournal ContributionA1
172021Stability of a one-dimensional morphoelastic model for post-burn contractionEGBERTS, Ginger; VERMOLEN, Fred; van Zuijlen, PaulJournal ContributionA1
182021Upscaling between an Agent-Based Model (Smoothed Particle Approach) and a Continuum-Based Model for Skin ContractionsPENG, Qiyao; VERMOLEN, FredJournal ContributionA1
192020A Cellular Automata Model of Oncolytic Virotherapy in Pancreatic CancerChen, J.; Weihs, D.; VERMOLEN, FredJournal ContributionA1
202020Agent‑based modelling and parameter sensitivity analysis with a finite‑element method for skin contractionPENG, Qiyao; VERMOLEN, FredJournal ContributionA1