3 papers
physics.comp-ph2020
Learning and correcting non-Gaussian model errors
Danny Smyl, Tyler N. Tallman, Jonathan A. Black +2
All discretized numerical models contain modelling errors - this reality is amplified when reduced-order models are used. The ability to accurately approximate modelling errors inf…
eess.SP2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
Danny Smyl, Dong Liu
Electrical Impedance Tomography (EIT) is a powerful tool for non-destructive evaluation, state estimation, and process tomography - among numerous other use cases. For these applic…
physics.comp-ph2018
OpenQSEI: a MATLAB package for Quasi Static Elasticity Imaging
Danny Smyl, Sven Bossuyt, Dong Liu
Quasi Static Elasticity Imaging (QSEI) aims to computationally reconstruct the inhomogeneous distribution of the elastic modulus using a measured displacement field. QSEI is a well…