Assad A. Oberai

Orcid: 0000-0002-7668-7713

According to our database1, Assad A. Oberai authored at least 34 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks.
IEEE Trans. Medical Imaging, March, 2024

A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization.
IEEE Trans. Biomed. Eng., January, 2024

Graph Laplacian-based Bayesian Multi-fidelity Modeling.
CoRR, 2024

Conditional score-based diffusion models for solving inverse problems in mechanics.
CoRR, 2024

Diffusion Models for Generating Ballistic Spacecraft Trajectories.
CoRR, 2024

Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network.
Comput. Methods Programs Biomed., 2024

2023
A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows.
CoRR, 2023

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts.
CoRR, 2023

Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty.
CoRR, 2023

A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data.
CoRR, 2023

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks.
CoRR, 2023

Deep Learning and Computational Physics (Lecture Notes).
CoRR, 2023

2022
A parallel interface tracking approach for evolving geometry problems.
Eng. Comput., 2022

Probabilistic medical image imputation via deep adversarial learning.
Eng. Comput., 2022

Variationally Mimetic Operator Networks.
CoRR, 2022

The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems.
CoRR, 2022

2021
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast.
IEEE Trans. Medical Imaging, 2021

GAN-Based Priors for Quantifying Uncertainty in Supervised Learning.
SIAM/ASA J. Uncertain. Quantification, 2021

Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis.
J. Digit. Imaging, 2021

Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors.
CoRR, 2021

2020
An automated approach for parallel adjoint-based error estimation and mesh adaptation.
Eng. Comput., 2020

Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative.
CoRR, 2020

GAN-based Priors for Quantifying Uncertainty.
CoRR, 2020

Residual-based stabilized formulation for the solution of inverse elliptic partial differential equations.
Comput. Math. Appl., 2020

2019
A locally discontinuous ALE finite element formulation for compressible phase change problems.
J. Comput. Phys., 2019

Bayesian Inference with Generative Adversarial Network Priors.
CoRR, 2019

2017
Component-based workflows for parallel thermomechanical analysis of arrayed geometries.
Eng. Comput., 2017

2015
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics.
J. Comput. Phys., 2015

Bring the NLACE model online using XSEDE and HUBzero.
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

2014
Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations.
SIAM/ASA J. Uncertain. Quantification, 2014

2013
A Galerkin least squares method for time harmonic Maxwell equations using Nédélec elements.
J. Comput. Phys., 2013

Adjoint consistency analysis of residual-based variational multiscale methods.
J. Comput. Phys., 2013

2012
Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis.
IEEE Trans. Medical Imaging, 2012

2004
Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004


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