Category Archives: GlimS

GlimS at ESB 2019

admin/ July 14, 2019/ conferences, GlimS/ 0 comments

We presented our computational framework (GlimSLib) for estimating growth and mechanical coupling parameters at the annual meeting of the European Society of Biomechanics. The abstract is available here.

GlimS at CSBC-PSON 2019

admin/ May 17, 2019/ conferences, GlimS/ 0 comments

We presented a first evaluation of our computational framework (GlimSLib) for estimating GBM growth (and mechanical coupling) parameters from clinical images at the Physical Sciences in Oncology Mathematical Oncology meeting. The abstract will be available here shortly.

GlimS at SNO 2018

admin/ November 29, 2018/ conferences, GlimS/ 0 comments

We presented two posters at the 23rd Annual Scientific Meeting of the Society for Neuro-Oncology that investigate the robustness of quantitative measures of tumor mass-effect and the relation between mass-effect and advanced MR-imaging characteristics of the tumor micro-environment. Find the posters here and here.

GlimS at WCB 2018

admin/ August 2, 2018/ conferences, GlimS/ 0 comments

We presented an approach for image-based parameter optimization of a mechanically-coupled tumor growth model at the 8th World Congress of Biomechanics (WCB). Check out the poster.

GlimS at CMBBE 2018

Daniel Abler/ March 30, 2018/ conferences, GlimS/ 0 comments

We presented results of an in-silico study into the effects of tissue anisotropy on brain tumor growth at the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE 2018). Abstract and manuscript are now available online.    

GlimS at FEniCS 2018

Daniel Abler/ March 23, 2018/ conferences, GlimS/ 0 comments

We participated in the user and developer conference of the FEniCS project (FEniCS’18) to present the GlimS use-case and first steps towards an image-based parameter estimation approach based on  FEniCS and dolfin-adjoint. The abstract is available in the online program (Session 6: Adjoints & PDE constrained optimization, Simulating Brain Tumor Mass-Effect).

GlimS at SNO 2017

Daniel Abler/ November 10, 2017/ conferences, GlimS/ 0 comments

An extended version of our mechanically-coupled tumor growth model was presented at the 2017 Annual Meeting of the Society for NeuroOncology (SNO). Here we incorporate brain tissue anisotropy inferred from MR-DTI imaging information to improve tumor shape prediction. See abstract and poster online.