Diffusive modelling of glioma evolution: a review

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

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"Diffusive modelling of glioma evolution: a review"
written by Alexandros Roniotis, Kostas Marias, Vangelis Sakkalis, Michalis Zervakis,
published by Journal of Biomedical Science and Engineering, Vol.3 No.5, 2010

has been cited by the following article(s):

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[10]	Computational modeling in glioblastoma: from the prediction of blood–brain barrier permeability to the simulation of tumor behavior
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[14]	Extreme protraction for low-grade gliomas: theoretical proof of concept of a novel therapeutical strategy
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[17]	The role of stiffness in the proliferation of brain tumors
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[18]	Mathematical modeling of efficient protocols to control glioma growth
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[19]	Effective particle methods for Fisher–Kolmogorov equations: Theory and applications to brain tumor dynamics
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[20]	Extreme protraction for low grade gliomas: Theoretical proof of concept of a novel therapeutical strategy
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[21]	Effective particle methods for Fisher–Kolmogorov equations
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[25]	Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases
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[27]	High-grade glioma diffusive modeling using statistical tissue information and diffusion tensors extracted from atlases
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[28]	Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors
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[1]	Heterogeneous biomechanical/mathematical modeling of spatial prediction of glioblastoma progression using magnetic resonance imaging-based finite element method Computer Methods and Programs in Biomedicine, 2024 DOI:10.1016/j.cmpb.2024.108441

[2]	Phenocopying Glioblastoma: A Review IEEE Reviews in Biomedical Engineering, 2023 DOI:10.1109/RBME.2021.3111744

[3]	Phenocopying Glioblastoma: A Review IEEE Reviews in Biomedical Engineering, 2023 DOI:10.1109/RBME.2021.3111744

[4]	A 3D tumor spheroid model for the T98G Glioblastoma cell line phenotypic characterization Tissue and Cell, 2019 DOI:10.1016/j.tice.2019.05.007

[5]	A Framework Linking Glycolytic Metabolic Capabilities and Tumor Dynamics IEEE Journal of Biomedical and Health Informatics, 2019 DOI:10.1109/JBHI.2018.2890708

[6]	Imaging with Ultra Fast Light Pulse in Scattering Media using the DRTS Method 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019 DOI:10.1109/BIBE.2019.00130

[7]	Computational modeling in glioblastoma: from the prediction of blood–brain barrier permeability to the simulation of tumor behavior Future Medicinal Chemistry, 2018 DOI:10.4155/fmc-2017-0128

[8]	Computational Modeling in Glioblastoma: From the Prediction of Blood–Brain Barrier Permeability to the Simulation of Tumor Behavior Future Medicinal Chemistry, 2018 DOI:10.4155/fmc-2017-0128

[9]	Comparative study between spatio-temporal models for brain tumor growth Biochemical and Biophysical Research Communications, 2018 DOI:10.1016/j.bbrc.2018.01.183

[10]	Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2839681

[11]	Extreme protraction for low-grade gliomas: theoretical proof of concept of a novel therapeutical strategy Mathematical Medicine and Biology, 2016 DOI:10.1093/imammb/dqv017

[12]	A note on the numerical approach for the reaction–diffusion problem to model the density of the tumor growth dynamics Computers & Mathematics with Applications, 2015 DOI:10.1016/j.camwa.2015.04.018

[13]	Effective particle methods for Fisher–Kolmogorov equations: Theory and applications to brain tumor dynamics Communications in Nonlinear Science and Numerical Simulation, 2014 DOI:10.1016/j.cnsns.2014.02.004

[14]	Mathematical modeling of efficient protocols to control glioma growth Mathematical Biosciences, 2014 DOI:10.1016/j.mbs.2014.07.002

[15]	Article Commentary: Dealing with Diversity in Computational Cancer Modeling Cancer Informatics, 2013 DOI:10.4137/CIN.S11583

[16]	High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases IEEE Transactions on Information Technology in Biomedicine, 2012 DOI:10.1109/TITB.2011.2171190

[17]	Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases Journal of Biomedicine and Biotechnology, 2012 DOI:10.1155/2012/715812

[18]	Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm Interface Focus, 2011 DOI:10.1098/rsfs.2010.0037

[19]	Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors Biology Direct, 2011 DOI:10.1186/1745-6150-6-64

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