George Biros

Q: What Schools Are Affiliated With George Biros

George Biros is affiliated with the following schools: University of Texas at Austin, University of Patras, Carnegie Mellon University, Georgia Tech, University of Pennsylvania

George Biros's AcademicInfluence.com Rankings

George Biros

Engineering

#8181

World Rank

#9671

Historical Rank

Applied Physics

#2912

World Rank

#2970

Historical Rank

engineering Degrees

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Engineering

George Biros's Degrees

PhD Computational and Applied Mathematics University of Texas at Austin
Masters Computational and Applied Mathematics University of Texas at Austin
Bachelors Mechanical Engineering University of Patras

Why Is George Biros Influential?

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According to Wikipedia, George Biros is a Greek-American engineer, currently the W. A. "Tex" Moncrief Professor in Simulation-Based Engineering Endowed Chair #2 at the University of Texas at Austin.

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George Biros's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) (1050)
A kernel-independent adaptive fast multipole algorithm in two and three dimensions (2004) (465)
Parallel Lagrange-Newton-Krylov-Schur Methods for PDE-Constrained Optimization. Part I: The Krylov-Schur Solver (2005) (285)
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques. (2016) (251)
An image-driven parameter estimation problem for a reaction–diffusion glioma growth model with mass effects (2008) (246)
GLISTR: Glioma Image Segmentation and Registration (2012) (216)
Large-Scale Inverse Problems and Quantification of Uncertainty (1994) (205)
High Resolution Forward And Inverse Earthquake Modeling on Terascale Computers (2003) (200)
Parallel Lagrange-Newton-Krylov-Schur Methods for PDE-Constrained Optimization. Part II: The Lagrange-Newton Solver and Its Application to Optimal Control of Steady Viscous Flows (2005) (196)
Why do red blood cells have asymmetric shapes even in a symmetric flow? (2009) (189)
A massively parallel adaptive fast-multipole method on heterogeneous architectures (2009) (184)
Bottom-Up Construction and 2: 1 Balance Refinement of Linear Octrees in Parallel (2008) (177)
A boundary integral method for simulating the dynamics of inextensible vesicles suspended in a viscous fluid in 2D (2009) (168)
Parallel Multiscale Gauss-Newton-Krylov Methods for Inverse Wave Propagation (2002) (165)
Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures (2010) (165)
A high-order 3D boundary integral equation solver for elliptic PDEs in smooth domains (2006) (154)
A fast algorithm for simulating vesicle flows in three dimensions (2011) (146)
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs (2019) (128)
The 2019 mathematical oncology roadmap (2019) (124)
Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma. (2016) (101)
Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling (2011) (100)
A New Parallel Kernel-Independent Fast Multipole Method (2003) (95)
Parallel geometric-algebraic multigrid on unstructured forests of octrees (2012) (91)
A fast solver for the Stokes equations with distributed forces in complex geometries (2004) (88)
A Parallel Geometric Multigrid Method for Finite Elements on Octree Meshes (2010) (86)
PVFMM: A Parallel Kernel Independent FMM for Particle and Volume Potentials (2015) (81)
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth (2009) (75)
Parallel Algorithms for PDE-Constrained Optimization (2006) (74)
A variational finite element method for source inversion for convective-diffusive transport (2003) (71)
An inverse problem formulation for parameter estimation of a reaction–diffusion model of low grade gliomas (2014) (69)
A numerical method for simulating the dynamics of 3D axisymmetric vesicles suspended in viscous flows (2009) (68)
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model (2011) (67)
FFT, FMM, or Multigrid? A comparative Study of State-Of-the-Art Poisson Solvers for Uniform and Nonuniform Grids in the Unit Cube (2014) (66)
Low-constant parallel algorithms for finite element simulations using linear octrees (2007) (65)
Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures (2010) (65)
Dynamic simulation of locally inextensible vesicles suspended in an arbitrary two-dimensional domain, a boundary integral method (2010) (62)
Modeling Glioma Growth and Mass Effect in 3D MR Images of the Brain (2007) (61)
Research and Education in Computational Science and Engineering (2016) (60)
Complexity of vesicle microcirculation. (2011) (59)
Dendro: Parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees (2008) (57)
DYNAMIC DATA-DRIVEN INVERSION FOR TERASCALE SIMULATIONS: REAL-TIME IDENTIFICATION OF AIRBORNE CONTAMINANTS (2005) (56)
Prediction of the low-velocity distribution from the pore structure in simple porous media (2017) (53)
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration (2014) (52)
Brain--Tumor Interaction Biophysical Models for Medical Image Registration (2008) (50)
A robust framework for soft tissue simulations with application to modeling brain tumor mass effect in 3D MR images (2007) (49)
ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions (2014) (49)
HykSort: a new variant of hypercube quicksort on distributed memory architectures (2013) (48)
Comparison of multigrid algorithms for high‐order continuous finite element discretizations (2014) (46)
A Novel Domain Adaptation Framework for Medical Image Segmentation (2018) (44)
AccFFT: A library for distributed-memory FFT on CPU and GPU architectures (2015) (43)
Biomechanically-Constrained 4D Estimation of Myocardial Motion (2009) (42)
High-volume fraction simulations of two-dimensional vesicle suspensions (2013) (42)
PDE-constrained optimization in medical image analysis (2018) (39)
A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images (2008) (37)
Constrained H1-Regularization Schemes for Diffeomorphic Image Registration (2015) (37)
Vesicle migration and spatial organization driven by flow line curvature. (2011) (36)
ANODEV2: A Coupled Neural ODE Framework (2019) (35)
Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology. (2020) (34)
Boundary integral method for the flow of vesicles with viscosity contrast in three dimensions (2015) (34)
ANODEV2: A Coupled Neural ODE Evolution Framework (2019) (31)
Performance optimization for the k-nearest neighbors kernel on x86 architectures (2015) (31)
Distributed-Memory Large Deformation Diffeomorphic 3D Image Registration (2016) (30)
Robust Computation of Mutual Information Using Spatially Adaptive Meshes (2007) (29)
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints (2008) (29)
Adjoint methods for electromagnetic shape optimization of the low-loss cavity for the International Linear Collider (2005) (28)
Inexactness Issues in the Lagrange-Newton-Krylov-Schur Method for PDE-constrained Optimization (2003) (28)
Estimating myocardial fiber orientations by template warping (2006) (27)
Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities (2020) (27)
FaIMS: A fast algorithm for the inverse medium problem with multiple frequencies and multiple sources for the scalar Helmholtz equation (2012) (27)
Far-Field Compression for Fast Kernel Summation Methods in High Dimensions (2014) (26)
Coupling brain-tumor biophysical models and diffeomorphic image registration. (2017) (26)
Parallel Netwon-Krylov Methods for PDE-Constrained Optimization (1999) (26)
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration (2018) (26)
A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration (2016) (26)
Analytical and numerical solutions for shapes of quiescent two-dimensional vesicles (2009) (24)
Parallel Preconditioners for KKT Systems Arising in Optimal Control of Viscous Incompressible Flows (2000) (24)
Geometry-Oblivious FMM for Compressing Dense SPD Matrices (2017) (23)
Adaptive time stepping for vesicle suspensions (2014) (22)
Dynamic Data Driven Methods for Self-aware Aerospace Vehicles (2012) (22)
Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect (2018) (21)
A Framework for Soft Tissue Simulations with Application to Modeling Brain Tumor Mass-Effect in 3 D Images (2006) (21)
Where did the tumor start? An inverse solver with sparse localization for tumor growth models (2019) (19)
A kernel-independent FMM in general dimensions (2015) (19)
Inversion of Airborne Contaminants in a Regional Model (2006) (18)
An Algebraic Parallel Treecode in Arbitrary Dimensions (2015) (18)
A Framework for Scalable Biophysics-based Image Analysis (2017) (18)
Fast GPU 3D Diffeomorphic Image Registration (2020) (17)
Parallel Algorithms for Nearest Neighbor Search Problems in High Dimensions (2016) (17)
Low-resolution simulations of vesicle suspensions in 2D (2017) (17)
Distributed-Memory Hierarchical Compression of Dense SPD Matrices (2018) (17)
Quantification of mixing in vesicle suspensions using numerical simulations in two dimensions. (2016) (16)
A multilevel algorithm for inverse problems with elliptic PDE constraints (2008) (16)
Sorting same-size red blood cells in deep deterministic lateral displacement devices (2017) (15)
An Inverse Scattering Algorithm for the Segmentation of the Luminal Border on Intravascular Ultrasound Data (2009) (15)
A performance portability framework for Python (2021) (14)
Algorithm 967 (2016) (14)
A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation (2013) (14)
INV-ASKIT: A Parallel Fast Direct Solver for Kernel Matrices (2016) (14)
A High-Order Solver for the Heat Equation in 1D domains with Moving Boundaries (2007) (14)
ASKIT: An Efficient, Parallel Library for High-Dimensional Kernel Summations (2016) (14)
A Volume Integral Equation Stokes Solver for Problems with Variable Coefficients (2014) (14)
DYNAMICS AND RHEOLOGY OF HIGHLY DEFLATED VESICLES (2009) (14)
Algorithm 967: A Distributed-Memory Fast Multipole Method for Volume Potentials (2016) (13)
The Chebyshev fast Gauss and nonuniform fast Fourier transforms and their application to the evaluation of distributed heat potentials (2008) (13)
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect (2020) (13)
The Embedded Boundary Integral Method (EBI) for the Incompressible Navier-Stokes equations (2002) (12)
High-order Adaptive Time Stepping for Vesicle Suspensions with Viscosity Contrast☆ (2014) (12)
An Embedded Boundary Integral Solver for the Unsteady Incompressible Navier-Stokes Equations 1 (2002) (11)
Robust Treecode Approximation for Kernel Machines (2015) (11)
An N log N Parallel Fast Direct Solver for Kernel Matrices (2017) (10)
An EM algorithm for brain tumor image registration: A tumor growth modeling based approach (2010) (10)
Fast Algorithms for Source Identification Problems with Elliptic PDE Constraints (2010) (10)
FFT, FMM, or Multigrid? A comparative study of state-of-the-art Poisson solvers in the unit cube (2014) (10)
Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan (2020) (10)
A parallel algorithm for long-timescale simulation of concentrated vesicle suspensions in three dimensions (2017) (9)
On preconditioners for the Laplace double‐layer in 2D (2013) (9)
An embedded boundary integral solver for the unsteady incompressible Navier-Stokes equations: Technical report (2001) (9)
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization (2021) (9)
Image-Driven Biophysical Tumor Growth Model Calibration (2019) (9)
A massively parallel adaptive fast multipole method on heterogeneous architectures (2012) (9)
Optimal design of deterministic lateral displacement device for viscosity-contrast-based cell sorting (2018) (8)
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems (2020) (8)
Parallel optimization of tumor model parameters for fast registration of brain tumor images (2008) (8)
Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging (2021) (8)
Fast Solvers for Soft Tissue Simulation with Application to Construction of Brain Tumor Atlases (2007) (7)
Controlling the deformation map in diffeomorphic image registration (2015) (7)
Corrigendum to “Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth” [NeuroImage 46 (2009) 762–774] (2009) (7)
A Framework for Online Inversion-Based 3D Site Characterization (2004) (7)
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I. (2019) (6)
Fast Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron (2020) (6)
Stable shapes of three-dimensional vesicles in unconfined and confined Poiseuille flow (2019) (6)
Correspondence detection in diffusion tensor images (2006) (5)
Poster: parallel algorithms for clustering and nearest neighbor search problems in high dimensions (2011) (5)
CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures (2021) (4)
Automatic MRI-Driven Model Calibration for Advanced Brain Tumor Progression Analysis (2020) (4)
Machine learning acceleration of simulations of Stokesian suspensions. (2019) (4)
A Parallel Arbitrary-Order Accurate AMR Algorithm for the Scalar Advection-Diffusion Equation (2016) (4)
Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron (2019) (4)
Distributed O(N) Linear Solver for Dense Symmetric Hierarchical Semi-Separable Matrices (2019) (4)
An embedded boundary integral solver for the stokes equations (2004) (4)
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems (2020) (3)
Optimizing GPGPU Kernel Summation for Performance and Energy Efficiency (2016) (2)
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression (2020) (2)
Image-driven parameter estimation for low grade gliomas (2014) (2)
135 Imaging Patterns Predict Patient Survival and Molecular Subtype in Glioblastoma Using Machine Learning Techniques (2015) (2)
CLAIRE—Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications (2022) (2)
DISTRIBUTED PARAMETER CONTROL OF A 2D ACOUSTIC HELMHOLTZ PROBLEM ON A HALFSPACE (2004) (2)
A kernel-independent fast multipole algorithm Technical Report TR 2003-839 1 (2003) (2)
A PDE-Constrained Optimization Approach to Uncertainty Quantification in Inverse Problems, with Applications to Inverse Scattering (2010) (1)
Sorting red blood cells in deep deterministic lateral displacement devices (2017) (1)
TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING DEEP LEARNING-BASED REGRESSION (2020) (1)
Reconstruction of a compactly supported sound profile in the presence of a random background medium (2018) (1)
Parla: A Python Orchestration System for Heterogeneous Architectures (2022) (1)
Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods (2021) (1)
Large-Scale Optimization for Bayesian Inference in Complex Systems (2014) (1)
Dendrite-resolved, full-melt-pool phase-field simulations to reveal non-steady-state effects and to test an approximate model (2022) (1)
Uncertainity Quantification for Large Scale Inverse Scattering (2013) (1)
A domain decomposition preconditioning for the integral equation formulation of the inverse scattering problem (2019) (1)
Fast 3D diffeomorphic image registration on GPUs (2019) (1)
Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI (2020) (1)
Analytical and Numerical Solutions for Shapes of Quiescent 2 D Vesicles (2008) (1)
Ensemble Inversion for Brain Tumor Growth Models With Mass Effect (2021) (1)
A GPU-Accelerated AMR Solver for Gravitational Wave Propagation (2022) (1)
Performance analysis of HPC applications with irregular tree data structures (2014) (1)
PDE-constrained optimization in medical image analysis (2018) (1)
Towards Extra-Luminal Blood Detection from Intravascular Ultrasound Radio Frequency Data (2011) (1)
An efficient method for modeling flow in porous media with immersed faults (2020) (0)
An inverse problem formulation for parameter estimation of a reaction–diffusion model of low grade gliomas (2015) (0)
Extreme-Scale Bayesian Inference for Uncertainty Quantification of Complex Simulations (2018) (0)
An Exascale Library for Numerically Inspired Machine Learning (ExaNIML) (2020) (0)
The effect of low accurate vesicle suspensions on observables (2015) (0)
Predicting anomalous diffusion rates of Stokes flow in porous media (2015) (0)
Dynamic Data Driven Methods for Self-aware Aerospace Vehicles Citation (2013) (0)
General fast inversion method to recover small 3-D inhomogeneities using a small number of sources and excitation frequencies (2010) (0)
Ultra-Scalable Algorithms for Large-Scale Uncertainty Quantification in Inverse Wave Propagation (2016) (0)
A High-Performance Inversion Framework for Brain Tumor Growth Models in Personalized Medicine (2020) (0)
PyKokkos (2022) (0)
Optimal design of deterministic lateral displacement device for cell sorting (2018) (0)
3D vesicle microcirculation (2019) (0)
Overlapping Domain Decomposition Preconditioner for Integral Equations (2021) (0)
KNN-DBSCAN: a DBSCAN in high dimensions (2020) (0)
A PDE-Constrained Optimization Approach to Uncertainty in Inverse Problems with Applications to Inverse Scattering (2010) (0)
Dynamics of inextensible vesicles suspended in a confined two-dimensional stokes flow (2008) (0)
Stable low-resolution simulations of two-dimensional vesicle suspensions (2016) (0)
Fast parallel algorithms for flow in porous media (2017) (0)
[Illinois] CSE 2013: N-body Algorithms for Multiscale Simulations (2013) (0)
Separation of red blood cells in deep deterministic lateral displacement devices (2017) (0)
Scalable Kernel Methods for Uncertainty Quantification (2015) (0)
GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation (2023) (0)
PyKokkos: Performance Portable Kernels in Python (2022) (0)
ExaNIML: An Exascale Library for Numerically Inspired Machine Learning (2019) (0)
Minisymposium 1: Domain Decomposition Methods for Simulation-constrained Optimization (2007) (0)
Shape dynamics of a red blood cell in Poiseuille flow (2021) (0)
Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect (2019) (0)
Quantifying mixing in vesicle suspensions using numerical simulations in two dimensions (2015) (0)
BRI-FY 13-Ultra-Scalable Algorithms for Large-scale Uncertainty Quantification (2016) (0)
A domain decomposition preconditioning for an inverse volume scattering problem (2020) (0)
A Petascale Fast Multipole Method for Volume Potentials (2013) (0)
A fast and adaptive algorithm for the inverse medium problem with multiple frequencies and multiple sources for the time-harmonic wave equation (2011) (0)
A Multi-GPU Python Solver for Low-Temperature Non-Equilibrium Plasmas (2022) (0)
2 D Contour Smoothing and Surface Reconstruction of Tubular CT-Scanned Anatomical Structures (0)

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What Schools Are Affiliated With George Biros?

George Biros is affiliated with the following schools:

George Biros's Academic­Influence.com Rankings