82 citations · 926 across the 70 of their papers we have counts for
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LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid- progression
Zheyu Wen, George Biros
We present and analyze LNODE, a mechanism-based phenomenological model for amyloid beta (A) dynamics, calibrated using positron emission tomography (PET) imaging. A is a key…
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer disease
Zheyu Wen, Ali Ghafouri, George Biros
We propose a method that uses a two-species ordinary differential equation (ODE) model to characterize misfolded tau (or simply tau) protein spreading in Alzheimer's disease (AD) a…
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…
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…
Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology
Andreas Mang, Spyridon Bakas, Shashank Subramanian +2
Central nervous system (CNS) tumors come with the vastly heterogeneous histologic, molecular and radiographic landscape, rendering their precise characterization challenging. The r…
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…