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ORCIDAssad A. Oberai
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2020 – today
- 2024
[j17]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: 108362 (2024)- [j16]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): 367-374 (2024) - [j15]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): 1071-1088 (2024) - [i15]Tyler Presser, Agnimitra Dasgupta, Daniel Erwin, Assad A. Oberai:
Diffusion Models for Generating Ballistic Spacecraft Trajectories. CoRR abs/2405.11738 (2024) - [i14]Agnimitra Dasgupta, Harisankar Ramaswamy, Javier Murgoitio-Esandi, Ken Y. Foo, Runze Li, Qifa Zhou, Brendan F. Kennedy, Assad A. Oberai:
Conditional score-based diffusion models for solving inverse problems in mechanics. CoRR abs/2406.13154 (2024) - [i13]Orazio Pinti, Jeremy M. Budd, Franca Hoffmann, Assad A. Oberai:
Graph Laplacian-based Bayesian Multi-fidelity Modeling. CoRR abs/2409.08211 (2024) - 2023
- [i12]Deep Ray, Orazio Pinti, Assad A. Oberai:
Deep Learning and Computational Physics (Lecture Notes). CoRR abs/2301.00942 (2023) - [i11]Jan Mandel, J. Hirschi, Adam K. Kochanski, Angel Farguell, J. Haley, Derek V. Mallia, Bryan Shaddy, Assad A. Oberai, Kyle A. Hilburn:
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. CoRR abs/2301.05427 (2023) - [i10]Orazio Pinti, Assad A. Oberai:
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data. CoRR abs/2304.04862 (2023) - [i9]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 abs/2306.04895 (2023) - [i8]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 abs/2309.02615 (2023) - [i7]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 abs/2310.04690 (2023) - 2022
- [j14]Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir S. Gill, Vinay A. Duddalwar, Assad A. Oberai:
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38(5): 3975-3986 (2022) - [j13]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): 4289-4305 (2022) - [i6]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 abs/2202.07773 (2022) - [i5]Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai:
Variationally Mimetic Operator Networks. CoRR abs/2209.12871 (2022) - 2021
- [j12]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): 1156-1170 (2021) - [j11]Dhruv V. Patel, Assad A. Oberai:
GAN-Based Priors for Quantifying Uncertainty in Supervised Learning. SIAM/ASA J. Uncertain. Quantification 9(3): 1314-1343 (2021) - [j10]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): 748-757 (2021) - [i4]Dhruv V. Patel, Deep Ray, Assad A. Oberai:
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. CoRR abs/2107.02926 (2021) - 2020
- [j9]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): 822-836 (2020) - [j8]Brian Granzow, Assad A. Oberai, Mark S. Shephard:
An automated approach for parallel adjoint-based error estimation and mesh adaptation. Eng. Comput. 36(3): 1169-1188 (2020) - [i3]Dhruv V. Patel, Assad A. Oberai:
GAN-based Priors for Quantifying Uncertainty. CoRR abs/2003.12597 (2020) - [i2]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 abs/2006.12761 (2020)
2010 – 2019
- 2019
- [j7]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: 438-464 (2019) - [i1]Dhruv Patel, Assad A. Oberai:
Bayesian Inference with Generative Adversarial Network Priors. CoRR abs/1907.09987 (2019) - 2017
- [j6]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): 509-517 (2017) - 2015
- [j5]David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, Thomas M. Smith:
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. J. Comput. Phys. 295: 596-616 (2015) - [c2]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: 36:1-36:7 - 2014
- [j4]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): 397-422 (2014) - 2013
- [j3]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: 67-81 (2013) - [j2]Jason E. Hicken, J. Li, Onkar Sahni, Assad A. Oberai:
Adjoint consistency analysis of residual-based variational multiscale methods. J. Comput. Phys. 255: 396-406 (2013) - 2012
- [j1]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): 1628-1637 (2012)
2000 – 2009
- 2004
- [c1]Paul E. Barbone, Nachiket Gokhale, Michael S. Richards, Assad A. Oberai, Marvin M. Doyley:
Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction. ISBI 2004: 543-546
Coauthor Index
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