Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction. - Paul E. Barbone; Nachiket Gokhale; Michael S. Richards; Assad A. Oberai; Marvin M. Doyley (ISBI, 2004)

Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis. - Sevan Goenezen; Jean-Francois Dord; Zac Sink; Paul E. Barbone; Jingfeng Jiang; Timothy J. Hall; Assad A. Oberai (IEEE Trans. Medical Imaging, 2012)

Adjoint consistency analysis of residual-based variational multiscale methods. - Jason E. Hicken; J. Li; Onkar Sahni; Assad A. Oberai (J. Comput. Phys., 2013)

A Galerkin least squares method for time harmonic Maxwell equations using Nédélec elements. - Jayanth Jagalur-Mohan; G. Feijóo; Assad A. Oberai (J. Comput. Phys., 2013)

Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations. - Jayanth Jagalur-Mohan; Onkar Sahni; Alireza Doostan; Assad A. Oberai (SIAM/ASA J. Uncertain. Quantification, 2014)

Bring the NLACE model online using XSEDE and HUBzero. - Christopher S. Thompson; Lan Zhao 003; Steven M. Clark; Paul E. Barbone; Assad A. Oberai; Carol X. Song; D. Thomas Seidl; Tengxiao Liu (XSEDE, 2015)

A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. - David Sondak; John N. Shadid; Assad A. Oberai; Roger P. Pawlowski; Eric C. Cyr; Thomas M. Smith (J. Comput. Phys., 2015)

Component-based workflows for parallel thermomechanical analysis of arrayed geometries. - Max O. Bloomfield; Zhen Li; Brian Granzow; Daniel Ibanez; Assad A. Oberai; Glen Hansen; Xiao Hu Liu; Mark S. Shephard (Eng. Comput., 2017)

Bayesian Inference with Generative Adversarial Network Priors. - Dhruv Patel 001; Assad A. Oberai (CoRR, 2019)

A locally discontinuous ALE finite element formulation for compressible phase change problems. - Yu Zhang; Anirban Chandra; Fan Yang; Ehsan Shams; Onkar Sahni; Mark S. Shephard; Assad A. Oberai (J. Comput. Phys., 2019)

Residual-based stabilized formulation for the solution of inverse elliptic partial differential equations. - Mohit Tyagi; Paul E. Barbone; Assad A. Oberai (Comput. Math. Appl., 2020)

GAN-based Priors for Quantifying Uncertainty. - Dhruv V. Patel; Assad A. Oberai (CoRR, 2020)

Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative. - Mingxi Lei; Bino A. Varghese; Darryl Hwang; Steven Y. Cen; Xiaomeng Lei; Afshin Azadikhah; Desai Bhushan; Assad A. Oberai; Vinay A. Duddalwar (CoRR, 2020)

An automated approach for parallel adjoint-based error estimation and mesh adaptation. - Brian Granzow; Assad A. Oberai; Mark S. Shephard (Eng. Comput., 2020)

Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. - Dhruv V. Patel; Deep Ray; Assad A. Oberai (CoRR, 2021)

Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. - Mingxi Lei; Bino A. Varghese; Darryl Hwang; Steven Y. Cen; Xiaomeng Lei; Desai Bhushan; Afshin Azadikhah; Assad A. Oberai; Vinay A. Duddalwar (J. Digit. Imaging, 2021)

GAN-Based Priors for Quantifying Uncertainty in Supervised Learning. - Dhruv V. Patel; Assad A. Oberai (SIAM/ASA J. Uncertain. Quantification, 2021)

Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast. - Daniel I. Gendin; Rohit Nayak; Yuqi Wang 005; Mahdi Bayat; Robert T. Fazzio; Assad A. Oberai; Timothy J. Hall; Paul E. Barbone; Azra Alizad; Mostafa Fatemi (IEEE Trans. Medical Imaging, 2021)

The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems. - Deep Ray; Harisankar Ramaswamy; Dhruv V. Patel; Assad A. Oberai (CoRR, 2022)

Variationally Mimetic Operator Networks. - Dhruv Patel 001; Deep Ray; Michael R. A. Abdelmalik; Thomas J. R. Hughes; Assad A. Oberai (CoRR, 2022)

Probabilistic medical image imputation via deep adversarial learning. - Ragheb Raad; Dhruv Patel 001; Chiao-Chih Hsu; Vijay Kothapalli; Deep Ray; Bino A. Varghese; Darryl Hwang; Inderbir S. Gill; Vinay A. Duddalwar; Assad A. Oberai (Eng. Comput., 2022)

A parallel interface tracking approach for evolving geometry problems. - Fan Yang; Anirban Chandra; Yu Zhang; Saurabh Tendulkar; Rocco Nastasia; Assad A. Oberai; Mark S. Shephard; Onkar Sahni (Eng. Comput., 2022)

Deep Learning and Computational Physics (Lecture Notes). - Deep Ray; Orazio Pinti; Assad A. Oberai (CoRR, 2023)

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. - Jan Mandel; J. Hirschi; Adam K. Kochanski; Angel Farguell; James Haley; Derek V. Mallia; Bryan Shaddy; Assad A. Oberai; Kyle A. Hilburn (CoRR, 2023)

A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data. - Orazio Pinti; Assad A. Oberai (CoRR, 2023)

Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty. - Deep Ray; Javier Murgoitio-Esandi; Agnimitra Dasgupta; Assad A. Oberai (CoRR, 2023)

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. - Bryan Shaddy; Deep Ray; Angel Farguell; Valentina Calaza; Jan Mandel; James Haley; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Assad A. Oberai (CoRR, 2023)

A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows. - Agnimitra Dasgupta; Dhruv V. Patel; Deep Ray; Erik A. Johnson; Assad A. Oberai (CoRR, 2023)

Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network. - Ken Y. Foo; Bryan Shaddy; Javier Murgoitio-Esandi; Matt S. Hepburn; Jiayue Li; Alireza Mowla; Rowan W. Sanderson; Danielle Vahala; Sebastian E. Amos; Yu Suk Choi; Assad A. Oberai; Brendan F. Kennedy (Comput. Methods Programs Biomed., 2024)

Diffusion Models for Generating Ballistic Spacecraft Trajectories. - Tyler Presser; Agnimitra Dasgupta; Daniel Erwin; Assad A. Oberai (CoRR, 2024)

Conditional score-based diffusion models for solving inverse problems in mechanics. - Agnimitra Dasgupta; Harisankar Ramaswamy; Javier Murgoitio-Esandi; Ken Y. Foo; Runze Li; Qifa Zhou; Brendan F. Kennedy; Assad A. Oberai (CoRR, 2024)

Graph Laplacian-based Bayesian Multi-fidelity Modeling. - Orazio Pinti; Jeremy M. Budd; Franca Hoffmann; Assad A. Oberai (CoRR, 2024)

A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization. - David P. Rosen; Rohit Nayak; Yuqi Wang 005; Daniel I. Gendin; Nicholas B. Larson; Robert T. Fazzio; Assad A. Oberai; Timothy J. Hall; Paul E. Barbone; Azra Alizad; Mostafa Fatemi (IEEE Trans. Biomed. Eng., 2024)

Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks. - Saeed Moazami; Deep Ray; Daniel Pelletier; Assad A. Oberai (IEEE Trans. Medical Imaging, 2024)

Memorization and Regularization in Generative Diffusion Models. - Ricardo Baptista; Agnimitra Dasgupta; Nikola B. Kovachki; Assad A. Oberai; Andrew M. Stuart (CoRR, 2025)

An optimal Petrov-Galerkin framework for operator networks. - Philip Charles; Deep Ray; Yue Yu; Joost Prins; Hugo Melchers; Michael R. A. Abdelmalik; Jeffrey Cochran; Assad A. Oberai; Thomas J. R. Hughes; Mats G. Larson (CoRR, 2025)

Unifying and extending Diffusion Models through PDEs for solving Inverse Problems. - Agnimitra Dasgupta; Alexsander Marciano da Cunha; Ali Fardisi; Mehrnegar Aminy; Brianna Binder; Bryan Shaddy; Assad A. Oberai (CoRR, 2025)

Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height. - Bryan Shaddy; Brianna Binder; Agnimitra Dasgupta; Haitong Qin; James Haley; Angel Farguell; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Jan Mandel; Assad A. Oberai (CoRR, 2025)

Time-dependent density estimation using binary classifiers. - Agnimitra Dasgupta; Javier Murgoitio-Esandi; Ali Fardisi; Assad A. Oberai (CoRR, 2025)