
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
We introduce a randomized algorithm, namely rchol, to construct an appro...
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An efficient method for modeling flow in porous media with immersed faults
Modeling flow in geosystems with natural fault is a challenging problem ...
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KNNDBSCAN: a DBSCAN in high dimensions
Clustering is a fundamental task in machine learning. One of the most su...
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MultiNode MultiGPU Diffeomorphic Image Registration for LargeScale Imaging Problems
We present a GaussNewtonKrylov solver for large deformation diffeomorp...
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Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
We present a 3D fullyautomatic method for the calibration of partial di...
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Fast GPU 3D Diffeomorphic Image Registration
3D image registration is one of the most fundamental and computationally...
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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 ...
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BIMC: The Bayesian Inverse Monte Carlo method for goaloriented uncertainty quantification. Part I
We consider the problem of estimating rare event probabilities, focusing...
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Fast Evaluation and Approximation of the GaussNewton Hessian Matrix for the Multilayer Perceptron
We introduce a fast algorithm for entrywise evaluation of the GaussNew...
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ANODEV2: A Coupled Neural ODE Evolution Framework
It has been observed that residual networks can be viewed as the explici...
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ANODE: Unconditionally Accurate MemoryEfficient Gradients for Neural ODEs
Residual neural networks can be viewed as the forward Euler discretizati...
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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...
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A Novel Domain Adaptation Framework for Medical Image Segmentation
We propose a segmentation framework that uses deep neural networks and i...
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CLAIRE: A distributedmemory solver for constrained large deformation diffeomorphic image registration
We introduce CLAIRE, a distributedmemory algorithm and software for sol...
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PDEconstrained optimization in medical image analysis
PDEconstrained optimization problems find many applications in medical ...
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GeometryOblivious FMM for Compressing Dense SPD Matrices
We present GOFMM (geometryoblivious FMM), a novel method that creates a...
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Distributedmemory large deformation diffeomorphic 3D image registration
We present a parallel distributedmemory algorithm for large deformation...
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A SemiLagrangian twolevel preconditioned NewtonKrylov solver for constrained diffeomorphic image registration
We propose an efficient numerical algorithm for the solution of diffeomo...
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InvASKIT: A Parallel Fast Diret Solver for Kernel Matrices
We present a parallel algorithm for computing the approximate factorizat...
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Constrained H^1regularization schemes for diffeomorphic image registration
We propose regularization schemes for deformable registration and effici...
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An inexact NewtonKrylov algorithm for constrained diffeomorphic image registration
We propose numerical algorithms for solving large deformation diffeomorp...
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George Biros
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