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20132026
most citedAn inverse problem formulation for parameter estimation of a reaction diffusion model of low grade gliomas

82 citations · 926 across the 70 of their papers we have counts for

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physics.med-ph2021

Ensemble inversion for brain tumor growth models with mass effect

Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +2

We propose a method for extracting physics-based biomarkers from a single multiparametric Magnetic Resonance Imaging (mpMRI) scan bearing a glioma tumor. We account for mass effect…

physics.med-ph2020★ 6 cited

Automatic MRI-Driven Model Calibration for Advanced Brain Tumor Progression Analysis

Klaudius Scheufele, Shashank Subramanian, George Biros

Our objective is the calibration of mathematical tumor growth models from a single multiparametric scan. The target problem is the analysis of preoperative Glioblastoma (GBM) scans…

physics.med-ph2019★ 36 cited

Where did the tumor start? An inverse solver with sparse localization for tumor growth models

Shashank Subramanian, Klaudius Scheufele, Miriam Mehl +1

We present a numerical scheme for solving an inverse problem for parameter estimation in tumor growth models for glioblastomas, a form of aggressive primary brain tumor. The growth…

physics.med-ph2018★ 50 cited

Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect

Shashank Subramanian, Amir Gholami, George Biros

In this article, we present a multispecies reaction-advection-diffusion partial differential equation (PDE) coupled with linear elasticity for modeling tumor growth. The model aims…

physics.med-ph2017★ 38 cited

Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration

Klaudius Scheufele, Andreas Mang, Amir Gholami +3

We present the SIBIA (Scalable Integrated Biophysics-based Image Analysis) framework for joint image registration and biophysical inversion and we apply it to analyse MR images of…