activity
20172021
most citedCoupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration

38 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

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…

q-bio.QM2020★ 2 cited

Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI

Klaudius Scheufele, Shashank Subramanian, George Biros

Aggregates of misfolded tau proteins (or just 'tau' for brevity) play a crucial role in the progression of Alzheimer's disease (AD) as they correlate with cell death and accelerate…

q-bio.QM2020

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect

Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +1

We present a 3D fully-automatic method for the calibration of partial differential equation (PDE) models of glioblastoma (GBM) growth with mass effect, the deformation of brain tis…

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…

q-bio.QM2019★ 19 cited

Image-Driven Biophysical Tumor Growth Model Calibration

Klaudius Scheufele, Shashank Subramanian, Andreas Mang +2

We present a novel formulation for the calibration of a biophysical tumor growth model from a single-time snapshot, MRI scan of a glioblastoma patient. Tumor growth models are typi…

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…