Publications (72)
ANODEV2: A Coupled Neural ODE Evolution Framework
Tianjun Zhang, Zhewei Yao, Amir Gholami +4
An efficient method for modeling flow in porous media with immersed faults
Youguang Chen, George Biros
Numerical simulation of an extensible capsule using regularized Stokes kernels and overset finite differences
Dhwanit Agarwal, George Biros
KNN-DBSCAN: a DBSCAN in high dimensions
Youguang Chen, William Ruys, George Biros
A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration
Andreas Mang, George Biros
FFT, FMM, or Multigrid? A comparative Study of State-Of-the-Art Poisson Solvers for Uniform and Nonuniform Grids in the Unit Cube
Amir Gholami, Dhairya Malhotra, Hari Sundar +1
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer disease
Zheyu Wen, Ali Ghafouri, George Biros
Shape dynamics of a red blood cell in Poiseuille flow
Dhwanit Agarwal, George Biros
A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
James Almgren-Bell, Nader Al Awar, Dilip S Geethakrishnan +2
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration
Andreas Mang, Amir Gholami, Christos Davatzikos +1
Research and Education in Computational Science and Engineering
Ulrich Rüde, Karen Willcox, Lois Curfman McInnes +30
A Scalable Algorithm for Active Learning
Youguang Chen, Zheyu Wen, George Biros
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
Guillermo Lorenzo, David A. Hormuth, Angela M. Jarrett +6
Image-Driven Biophysical Tumor Growth Model Calibration
Klaudius Scheufele, Shashank Subramanian, Andreas Mang +2
Inverse problems for history-enriched linear model reduction
Arjun Vijaywargiya, George Biros
GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure
Yigong Qin, Stephen DeWitt, Balasubramaniam Radhakrishnan +1
Automatic MRI-Driven Model Calibration for Advanced Brain Tumor Progression Analysis
Klaudius Scheufele, Shashank Subramanian, George Biros
An O(N) distributed-memory parallel direct solver for planar integral equations
Tianyu Liang, Chao Chen, Per-Gunnar Martinsson +1
Quantification of mixing in vesicle suspensions using numerical simulations in two dimensions
Gokberk Kabacaoglu, Bryan Quaife, George Biros
Geometry-Oblivious FMM for Compressing Dense SPD Matrices
Chenhan D. Yu, James Levitt, Severin Reiz +1
Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect
Shashank Subramanian, Amir Gholami, George Biros
A fast solver for the spatially homogeneous electron Boltzmann equation
Milinda Fernando, Daniil Bochkov, James Almgren-Bell +5
Distributed-memory large deformation diffeomorphic 3D image registration
Andreas Mang, Amir Gholami, George Biros
Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI
Klaudius Scheufele, Shashank Subramanian, George Biros
Ensemble inversion for brain tumor growth models with mass effect
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +2
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part II
Siddhant Wahal, George Biros
Machine learning acceleration of simulations of Stokesian suspensions
Gokberk Kabacaoglu, George Biros
CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications
Naveen Himthani, Malte Brunn, Jae-Youn Kim +3
A domain decomposition preconditioning for the integral equation formulation of the inverse scattering problem
Carlos Borges, George Biros
Overlapping Domain Decomposition Preconditioner for Integral Equations
Chao Chen, George Biros
LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid- progression
Zheyu Wen, George Biros
Optimal design of deterministic lateral displacement device for viscosity contrast based cell sorting
Gokberk Kabacaoglu, George Biros
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
Youguang Chen, George Biros
Where did the tumor start? An inverse solver with sparse localization for tumor growth models
Shashank Subramanian, Klaudius Scheufele, Miriam Mehl +1
VLCs: Managing Parallelism with Virtualized Libraries
Yineng Yan, William Ruys, Hochan Lee +11
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +1
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
Low-resolution simulations of vesicle suspensions in 2D
Gokberk Kabacaoglu, Bryan Quaife, George Biros
Comparison of Multigrid Algorithms for High-order Continuous Finite Element Discretizations
Hari Sundar, Georg Stadler, George Biros
Boltzsim: A fast solver for the 1D-space electron Boltzmann equation with applications to radio-frequency glow discharge plasmas
Milinda Fernando, James Almgren-Bell, Todd Oliver +4
VesNet: Neural network accelerated solver for simulating Stokesian vesicle suspensions
Shan Zhong, Gokberk Kabacaoglu, George Biros
Fast Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron
Chao Chen, Severin Reiz, Chenhan Yu +2
Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models
Ali Ghafouri, George Biros
AccFFT: A library for distributed-memory FFT on CPU and GPU architectures
Amir Gholami, Judith Hill, Dhairya Malhotra +1
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
Youguang Chen, George Biros
An inverse problem formulation for parameter estimation of a reaction diffusion model of low grade gliomas
Amir Gholami, Andreas Mang, George Biros
Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration
Klaudius Scheufele, Andreas Mang, Amir Gholami +3
High-volume fraction simulations of two-dimensional vesicle suspensions
Bryan Quaife, George Biros
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration
Andreas Mang, George Biros
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
Chao Chen, Tianyu Liang, George Biros
On preconditioners for the Laplace double-layer in 2D
Bryan Quaife, George Biros
Constrained -regularization schemes for diffeomorphic image registration
Andreas Mang, George Biros
Far-Field Compression for Fast Kernel Summation Methods in High Dimensions
William B. March, George Biros
ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions
William B. March, Bo Xiao, George Biros
A Novel Domain Adaptation Framework for Medical Image Segmentation
Amir Gholami, Shashank Subramanian, Varun Shenoy +6
High-order adaptive time stepping for vesicle suspensions with viscosity contrast
Bryan Quaife, George Biros
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
Malte Brunn, Naveen Himthani, George Biros +2
Stable shapes of three-dimensional vesicles in unconfined and confined Poiseuille flow
Dhwanit Agarwal, George Biros
Fast GPU 3D Diffeomorphic Image Registration
Malte Brunn, Naveen Himthani, George Biros +2
Inv-ASKIT: A Parallel Fast Diret Solver for Kernel Matrices
Chenhan D. Yu, William B. March, Bo Xiao +1
PDE-constrained optimization in medical image analysis
Andreas Mang, Amir Gholami, Christos Davatzikos +1
An Parallel Fast Direct Solver for Kernel Matrices
Chenhan D. Yu, William B. March, George Biros
Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology
Andreas Mang, Spyridon Bakas, Shashank Subramanian +2
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I
Siddhant Wahal, George Biros
Reconstruction of a compactly supported sound profile in the presence of a random background medium
Carlos Borges, George Biros
Adaptive Time Stepping for Vesicle Suspensions
Bryan Quaife, George Biros
A performance portable fast Ewald summation for Stokes flow
Gabriel Kosmacher, Ziyu Du, Joar Bagge +1
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Amir Gholami, Kurt Keutzer, George Biros
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators
Youguang Chen, George Biros
Extensions of the regret-minimization algorithm for optimal design
Youguang Chen, George Biros
IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients
Shan Zhong, George Biros
Sorting same-size red blood cells in deep deterministic lateral displacement devices
Gokberk Kabacaoglu, George Biros