Medical imaging systems are often evaluated and optimized via objective,...
We discuss solution algorithms for calibrating a tumor growth model usin...
Reliably predicting the future spread of brain tumors using imaging data...
Neural operators have gained significant attention recently due to their...
Tomographic imaging is in general an ill-posed inverse problem. Typicall...
Bayesian inference provides a systematic framework for integration of da...
This work develops a multiphase thermomechanical model of porous silica
...
This paper presents the use of element-based algebraic multigrid (AMGe)
...
The Alternating Direction Method of Multipliers (ADMM) provides a natura...
Uncertainty quantification of groundwater (GW) aquifer parameters is cri...
Multiscale models of materials, consisting of upscaling discrete simulat...
Many-query problems, arising from uncertainty quantification, Bayesian
i...
In this work we develop a new hierarchical multilevel approach to genera...
Non-smooth regularization is widely used in image reconstruction to elim...
We present an extensible software framework, hIPPYlib, for solution of
l...
This paper develops a multifidelity method that enables estimation of fa...