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20212024
most citedJoint reconstruction and segmentation of noisy velocity images as an inverse Navier-Stokes problem

18 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2024

Bayesian inference of mean velocity fields and turbulence models from flow MRI

A. Kontogiannis, P. Nair, M. Loecher +3

We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean flow data by jointly reconstructing the mean flow field and learning its unknown RA…

physics.flu-dyn2024★ 8 cited

Learning rheological parameters of non-Newtonian fluids from velocimetry data

Alexandros Kontogiannis, Richard Hodgkinson, Emily L. Manchester

We solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct the flow field and learn the unknown N-S parameters. By in…

physics.flu-dyn2024★ 9 cited

Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning

Alexandros Kontogiannis, Scott V. Elgersma, Andrew J. Sederman +1

We formulate and solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct a 3D flow field and learn the unknown N-S pa…

physics.flu-dyn2022★ 18 cited

Joint reconstruction and segmentation of noisy velocity images as an inverse Navier-Stokes problem

Alexandros Kontogiannis, Scott V. Elgersma, Andrew J. Sederman +1

We formulate and solve a generalized inverse Navier-Stokes problem for the joint velocity field reconstruction and boundary segmentation of noisy flow velocity images. To regulariz…

cs.CV2022★ 18 cited

Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem

Alexandros Kontogiannis, Matthew P. Juniper

We formulate a physics-informed compressed sensing (PICS) method for the reconstruction of velocity fields from noisy and sparse phase-contrast magnetic resonance signals. The meth…

physics.flu-dyn2021

Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks

Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper

Magnetic resonance velocimetry (MRV) is a non-invasive experimental technique widely used in medicine and engineering to measure the velocity field of a fluid. These measurements a…