George Biros
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American engineer
George Biros's AcademicInfluence.com Rankings
George Birosengineering Degrees
Engineering
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#9671
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Applied Physics
#2912
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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?
(Suggest an Edit or Addition)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.
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?
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