Assad A. Oberai

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 25

Top Topics

Diffusion Model

Inverse Problems

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

David P. Rosen, Rohit Nayak, Yuqi Wang, Daniel I. Gendin, Nicholas B. Larson, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi
A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization. IEEE Trans. Biomed. Eng. 71 (1) (2024)
Agnimitra Dasgupta, Harisankar Ramaswamy, Javier Murgoitio-Esandi, Ken Foo, Runze Li, Qifa Zhou, Brendan Kennedy, Assad A. Oberai
Conditional score-based diffusion models for solving inverse problems in mechanics. CoRR (2024)
Tyler Presser, Agnimitra Dasgupta, Daniel Erwin, Assad A. Oberai
Diffusion Models for Generating Ballistic Spacecraft Trajectories. CoRR (2024)
Saeed Moazami, Deep Ray, Daniel Pelletier, Assad A. Oberai
Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks. IEEE Trans. Medical Imaging 43 (3) (2024)
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
Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network. Comput. Methods Programs Biomed. 255 (2024)
Deep Ray, Javier Murgoitio-Esandi, Agnimitra Dasgupta, Assad A. Oberai
Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty. CoRR (2023)
Deep Ray, Orazio Pinti, Assad A. Oberai
Deep Learning and Computational Physics (Lecture Notes). CoRR (2023)
Agnimitra Dasgupta, Dhruv V. Patel, Deep Ray, Erik A. Johnson, Assad A. Oberai
A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows. CoRR (2023)
Orazio Pinti, Assad A. Oberai
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data. CoRR (2023)
Bryan Shaddy, Deep Ray, Angel Farguell, Valentina Calaza, Jan Mandel, James Haley, Kyle Hilburn, Derek V. Mallia, Adam K. Kochanski, Assad A. Oberai
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. CoRR (2023)
Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai
Variationally Mimetic Operator Networks. CoRR (2022)
Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir Gill, Vinay A. Duddalwar, Assad A. Oberai
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38 (5) (2022)
Fan Yang, Anirban Chandra, Yu Zhang, Saurabh Tendulkar, Rocco Nastasia, Assad A. Oberai, Mark S. Shephard, Onkar Sahni
A parallel interface tracking approach for evolving geometry problems. Eng. Comput. 38 (5) (2022)
Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel, Assad A. Oberai
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems. CoRR (2022)
Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. J. Digit. Imaging 34 (5) (2021)
Dhruv V. Patel, Assad A. Oberai
GAN-Based Priors for Quantifying Uncertainty in Supervised Learning. SIAM/ASA J. Uncertain. Quantification 9 (3) (2021)
Dhruv V. Patel, Deep Ray, Assad A. Oberai
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. CoRR (2021)
Daniel I. Gendin, Rohit Nayak, Yuqi Wang, Mahdi Bayat, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast. IEEE Trans. Medical Imaging 40 (2) (2021)
Mohit Tyagi, Paul E. Barbone, Assad A. Oberai
Residual-based stabilized formulation for the solution of inverse elliptic partial differential equations. Comput. Math. Appl. 80 (5) (2020)
Dhruv V. Patel, Assad A. Oberai
GAN-based Priors for Quantifying Uncertainty. CoRR (2020)
Brian Granzow, Assad A. Oberai, Mark S. Shephard
An automated approach for parallel adjoint-based error estimation and mesh adaptation. Eng. Comput. 36 (3) (2020)
Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative. CoRR (2020)
Dhruv Patel, Assad A. Oberai
Bayesian Inference with Generative Adversarial Network Priors. CoRR (2019)
Yu Zhang, Anirban Chandra, Fan Yang, Ehsan Shams, Onkar Sahni, Mark S. Shephard, Assad A. Oberai
A locally discontinuous ALE finite element formulation for compressible phase change problems. J. Comput. Phys. 393 (2019)
Max O. Bloomfield, Zhen Li, Brian Granzow, Daniel Ibanez, Assad A. Oberai, Glen Hansen, Xiao Hu Liu, Mark S. Shephard
Component-based workflows for parallel thermomechanical analysis of arrayed geometries. Eng. Comput. 33 (3) (2017)
Christopher S. Thompson, Lan Zhao, Steven M. Clark, Paul E. Barbone, Assad A. Oberai, Carol X. Song, D. Thomas Seidl, Tengxiao Liu
Bring the NLACE model online using XSEDE and HUBzero. XSEDE (2015)
David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, T. M. Smith
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. J. Comput. Phys. 295 (2015)
Jayanth Jagalur-Mohan, Onkar Sahni, Alireza Doostan, Assad A. Oberai
Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations. SIAM/ASA J. Uncertain. Quantification 2 (1) (2014)
Jayanth Jagalur-Mohan, G. Feijóo, Assad A. Oberai
A Galerkin least squares method for time harmonic Maxwell equations using Nédélec elements. J. Comput. Phys. 235 (2013)
Jason E. Hicken, J. Li, Onkar Sahni, Assad A. Oberai
Adjoint consistency analysis of residual-based variational multiscale methods. J. Comput. Phys. 255 (2013)
Sevan Goenezen, Jean-Francois Dord, Zac Sink, Paul E. Barbone, Jingfeng Jiang, Timothy J. Hall, Assad A. Oberai
Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis. IEEE Trans. Medical Imaging 31 (8) (2012)
Paul E. Barbone, Nachiket Gokhale, Michael S. Richards, Assad A. Oberai, Marvin M. Doyley
Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction. ISBI (2004)