[HTML][HTML] HPC+ in the medical field: Overview and current examples

M Koch, C Arlandini, G Antonopoulos… - … and Health Care, 2023 - content.iospress.com
BACKGROUND: To say data is revolutionising the medical sector would be a vast
understatement. The amount of medical data available today is unprecedented and has the …

GPU optimization of lattice Boltzmann method with local ensemble transform Kalman filter

Y Hasegawa, T Imamura, T Ina… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
The ensemble data assimilation of computational fluid dynamics simulations based on the
lattice Boltzmann method (LBM) and the local ensemble transform Kalman filter (LETKF) is …

A Deep Learning Method for Nonlinear Stochastic Filtering: Energy-Based Deep Splitting for Fast and Accurate Estimation of Filtering Densities

F Rydin - 2024 - odr.chalmers.se
In filtering the problem is to find the conditional distribution of a dynamically evolving state
given noisy measurements. Critically, designing accurate filters for nonlinear problems that …

On Blood and Mechanical Motion Sensitization of Encoding and Decoding in Magnetic Resonance Imaging

H Dillinger - 2022 - research-collection.ethz.ch
The assessment of three-dimensional blood flow dynamics by means of Phase-Contrast
Magnetic Resonance Imaging (PC-MRI) holds promising potential for the non-invasive …

A Localised, Ensemble-Based, Data Assimilation Method Applied Across Differentreynolds Numbers in the Laminar Regime

NP Pallas, D Bouris - Ensemble-Based, Data Assimilation Method Applied … - papers.ssrn.com
Different sources of information describing the same phenomenon have been used in a
complementary fashion for years in the field of fluid mechanics. In this scope, a localised …