34 citations · 36 across the 5 of their papers we have counts for
5 papers
Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
Javier Bisbal, Julio Sotelo, Hernán Mella +8
This work introduces an unsupervised Divergence and Aliasing-Free neural network (DAF-FlowNet) for 4D Flow Magnetic Resonance Imaging (4D Flow MRI) that jointly enhances noisy velo…
Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology
Moises Sierpe, Ernesto Castillo, Hernan Mella +1
Physics-Informed Neural Networks (PINNs) show significant potential for solving inverse problems, especially when observations are limited and sparse, provided that the relevant ph…
Enhancing Hemodynamic Parameter Estimations: Nonlinear Blood Behavior in 4D Flow MRI
Hernán Mella, Felipe Galarce, Tetsuro Sekine +2
Hemodynamic parameters are often estimated assuming a constant Newtonian viscosity, even though blood exhibits shear-thinning behavior. This article investigates the influence of b…
A hybrid PML formulation for the 2D three-field dynamic poroelastic equations
Hernán Mella, Esteban Sáez, Joaquín Mura
Simulation of wave propagation in poroelastic half-spaces presents a common challenge in fields like geomechanics and biomechanics, requiring Absorbing Boundary Conditions (ABCs) a…
WarpPINN: Cine-MR image registration with physics-informed neural networks
Pablo Arratia López, Hernán Mella, Sergio Uribe +2
Heart failure is typically diagnosed with a global function assessment, such as ejection fraction. However, these metrics have low discriminate power, failing to distinguish differ…