Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion.

By K. Swanson, C. Bridge, James D. Murray, E. Alvord. Journal of Neurological Sciences, 2003

632 citations recorded by the source corpus.

Subfields: Genetics, Modeling and Simulation, Oncology

View Paper: https://www.semanticscholar.org/paper/88d8040019f01c6cb1b064194585327654035432

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In Genetics

1. Hugues Duffau
2. Emmanuel Mandonnet

Citations in the corpus

• Simulation of anisotropic growth of low‐grade gliomas using diffusion tensor imaging (2005, background): “:3) c (cid:4) , [1] where c is the glioma cell concentration and f is a function representing the temporal evolution pattern of the growth.”
• Bayesian Synthetic Likelihood (2017, background): “Cell motility causes random movement, which, together with proliferation or reproduction, can cause tumors to spread (Swanson et al. 2003) or wounds to heal (Dale, Maini, and Sherratt 1994; Zahm et al. 1997).”