
Overlapping Domain Decomposition Preconditioner for Integral Equations
The discretization of certain integral equations, e.g., the firstkind F...
read it

Ensemble inversion for brain tumor growth models with mass effect
We propose a method for extracting physicsbased biomarkers from a singl...
read it

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
Current clinical decisionmaking in oncology relies on averages of large...
read it

RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
We introduce a randomized algorithm, namely RCHOL, to construct an appro...
read it

An efficient method for modeling flow in porous media with immersed faults
Modeling flow in geosystems with natural fault is a challenging problem ...
read it

KNNDBSCAN: a DBSCAN in high dimensions
Clustering is a fundamental task in machine learning. One of the most su...
read it

MultiNode MultiGPU Diffeomorphic Image Registration for LargeScale Imaging Problems
We present a GaussNewtonKrylov solver for large deformation diffeomorp...
read it

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
We present a 3D fullyautomatic method for the calibration of partial di...
read it

Fast GPU 3D Diffeomorphic Image Registration
3D image registration is one of the most fundamental and computationally...
read it

BIMC: The Bayesian Inverse Monte Carlo method for goaloriented uncertainty quantification. Part II
In Part I of this article, we proposed an importance sampling algorithm ...
read it

BIMC: The Bayesian Inverse Monte Carlo method for goaloriented uncertainty quantification. Part I
We consider the problem of estimating rare event probabilities, focusing...
read it

Fast Evaluation and Approximation of the GaussNewton Hessian Matrix for the Multilayer Perceptron
We introduce a fast algorithm for entrywise evaluation of the GaussNew...
read it

ANODEV2: A Coupled Neural ODE Evolution Framework
It has been observed that residual networks can be viewed as the explici...
read it

ANODE: Unconditionally Accurate MemoryEfficient Gradients for Neural ODEs
Residual neural networks can be viewed as the forward Euler discretizati...
read it

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
read it

A Novel Domain Adaptation Framework for Medical Image Segmentation
We propose a segmentation framework that uses deep neural networks and i...
read it

CLAIRE: A distributedmemory solver for constrained large deformation diffeomorphic image registration
We introduce CLAIRE, a distributedmemory algorithm and software for sol...
read it

PDEconstrained optimization in medical image analysis
PDEconstrained optimization problems find many applications in medical ...
read it

GeometryOblivious FMM for Compressing Dense SPD Matrices
We present GOFMM (geometryoblivious FMM), a novel method that creates a...
read it

Distributedmemory large deformation diffeomorphic 3D image registration
We present a parallel distributedmemory algorithm for large deformation...
read it

A SemiLagrangian twolevel preconditioned NewtonKrylov solver for constrained diffeomorphic image registration
We propose an efficient numerical algorithm for the solution of diffeomo...
read it

InvASKIT: A Parallel Fast Diret Solver for Kernel Matrices
We present a parallel algorithm for computing the approximate factorizat...
read it

Constrained H^1regularization schemes for diffeomorphic image registration
We propose regularization schemes for deformable registration and effici...
read it

An inexact NewtonKrylov algorithm for constrained diffeomorphic image registration
We propose numerical algorithms for solving large deformation diffeomorp...
read it
George Biros
is this you? claim profile