82 citations · 926 across the 70 of their papers we have counts for
9 papers · 1 filter
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
Chao Chen, Tianyu Liang, George Biros
We introduce a randomized algorithm, namely RCHOL, to construct an approximate Cholesky factorization for a given Laplacian matrix (a.k.a., graph Laplacian). From a graph perspecti…
An efficient method for modeling flow in porous media with immersed faults
Youguang Chen, George Biros
Modeling flow in geosystems with natural fault is a challenging problem due to low permeability of fault compared to its surrounding porous media. One way to predict the behavior o…
KNN-DBSCAN: a DBSCAN in high dimensions
Youguang Chen, William Ruys, George Biros
Clustering is a fundamental task in machine learning. One of the most successful and broadly used algorithms is DBSCAN, a density-based clustering algorithm. DBSCAN requires -ne…
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
Malte Brunn, Naveen Himthani, George Biros +2
We present a Gauss-Newton-Krylov solver for large deformation diffeomorphic image registration. We extend the publicly available CLAIRE library to multi-node multi-graphics process…
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…
Fast GPU 3D Diffeomorphic Image Registration
Malte Brunn, Naveen Himthani, George Biros +2
3D image registration is one of the most fundamental and computationally expensive operations in medical image analysis. Here, we present a mixed-precision, Gauss--Newton--Krylov s…
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…
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…