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 (CoRR, 2021)

Physics-Informed Compressed Sensing for PC-MRI: An Inverse Navier-Stokes Problem. - Alexandros Kontogiannis; Matthew P. Juniper (IEEE Trans. Image Process., 2023)

Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning. - Alexandros Kontogiannis; Scott V. Elgersma; Andrew J. Sederman; Matthew P. Juniper (CoRR, 2024)

Learning rheological parameters of non-Newtonian fluids from velocimetry data. - Alexandros Kontogiannis; Richard Hodgkinson; Emily Louise Manchester (CoRR, 2024)

Bayesian inference of mean velocity fields and turbulence models from flow MRI. - Alexandros Kontogiannis; Priya J. Nair; Michael Loecher; Daniel B. Ennis; Alison L. Marsden; Matthew P. Juniper (CoRR, 2024)

StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling. - Ioannis Korontanis; Antonios Makris; Alexandros Kontogiannis; Iraklis Varlamis; Konstantinos Tserpes (SoftwareX, 2024)