Publications associées à Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Toyomu Matsuda

We give an extension of Le's stochastic sewing lemma. The stochastic sewing lemma proves convergence in

L_m

of Riemann type sums

\sum _{[s,t] \in \pi } A_{s,t}

for an adapted two-parameter stochastic process A, under certain conditions on the moments o ...

Cambridge Univ Press2024

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

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Chattez avec Graph Search

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Geometrically-Conditioned Point Diffusion Models

A Wasserstein-based measure of conditional dependence

Dynamic Monte Carlo reactor modeling of calcium looping with sorbent purge and utilization decay

Mathematical and numerical models for the cardiac electromechanical function

Self-learning surrogate models in superstructure optimization

Biophysically detailed mathematical models of multiscale cardiac active mechanics

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Biophysically detailed mathematical models of multiscale cardiac active mechanics

Dynamic Monte Carlo reactor modeling of calcium looping with sorbent purge and utilization decay

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart

Self-learning surrogate models in superstructure optimization

A Wasserstein-based measure of conditional dependence

Geometrically-Conditioned Point Diffusion Models

Mathematical and numerical models for the cardiac electromechanical function

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation