Integration of activation maps of epicardial veins in computational cardiac electrophysiology

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Background and objectives: Parameter estimation and uncertainty quantification are crucial in computa-tional cardiology, as they enable the construction of digital twins that faithfully replicate the behavior of physical patients. Many model parameters reg ...

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Integration of activation maps of epicardial veins in computational cardiac electrophysiology

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Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Engineered substrates incapable of induction of chondrogenic differentiation compared to the chondrocyte imprinted substrates

The Fano Noise Suppression Factor and the Gm/ID FoM

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Decentralized Gan Training Through Diffusion Learning

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Adhesive wear with a coarse-grained discrete element model

Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables

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