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Found 6 papers, 4 papers with code
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space
We propose a retrospective method for motion quantification and correction to tackle the problem of in-plane rigid-body motion, apt for classical 2D Spin-Echo scans of the brain, which are regularly used in clinical practice.
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning
Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies.
Anomalous Platelet Transport & Fat-Tailed Distributions
The transport of platelets in blood is commonly assumed to obey an advection-diffusion equation.
Computational Physics Biological Physics
Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
The tool couples the lattice Boltzmann solver Palabos for the simulation of the blood plasma, a novel finite element method (FEM) solver for the resolution of the deformable blood cells, and an immersed boundary method for the coupling of the two phases.
Computational Physics Distributed, Parallel, and Cluster Computing Performance
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption
Using ABC, which depends on many simulations from the considered model, we develop an inferential framework to learn parameters of a stochastic numerical simulator of volcanic eruption.
Computation Applications
Bridging the computational gap between mesoscopic and continuum modeling of red blood cells for fully resolved blood flow
For the RBCs, we propose a nodal projective FEM (npFEM) solver which has theoretical advantages over the more commonly used mass-spring systems (mesoscopic modeling), such as an unconditional stability, versatile material expressivity, and one set of parameters to fully describe the behavior of the body at any mesh resolution.
Computational Physics
