Author of the publication

Physical Confinement and Cell Proximity Increase Cell Migration Rates and Invasiveness: A Mathematical Model of Cancer Cell Invasion through Flexible Channels.

, , and . CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Formalism for Modelling Traction forces and Cell Shape Evolution during Cell Migration in Various Biomedical Processes., , and . CoRR, (2020)An Analytical Model for the Probability Characteristics of a Crack Hitting an Encapsulated Self-healing Agent in Concrete., , and . CASC, volume 6244 of Lecture Notes in Computer Science, page 280-292. Springer, (2010)Some Mathematical Properties of Morphoelasticity., , , and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 1119-1127. Springer, (2019)Several Agent-Based and Cellular Automata Mathematical Frameworks for Modeling Pancreatic Cancer., and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 265-274. Springer, (2019)Network-inspired versus Kozeny-Carman based permeability-porosity relations applied to Biot's poroelasticity model., , , and . CoRR, (2020)Physical Confinement and Cell Proximity Increase Cell Migration Rates and Invasiveness: A Mathematical Model of Cancer Cell Invasion through Flexible Channels., , and . CoRR, (2022)A Bayesian finite-element trained machine learning approach for predicting post-burn contraction., , , and . Neural Comput. Appl., 34 (11): 8635-8642 (2022)Point Forces and Their Alternatives in Cell-Based Models for Skin Contraction., and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 763-771. Springer, (2019)Mathematical Models to Predict the Critical Conditions for Bacterial Self-healing of Concrete., , and . MMCP, volume 7125 of Lecture Notes in Computer Science, page 108-121. Springer, (2011)High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations., , and . Frontiers Appl. Math. Stat., (February 2023)