Accelerating cardiac bidomain simulations using graphics processing units (scientific article published on 05 June 2012)

Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function

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Algebraic multigrid preconditioner for the cardiac bidomain model

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Generation of histo-anatomically representative models of the individual heart: tools and application

Q33896839

Simulating human cardiac electrophysiology on clinical time-scales

Q34820414

A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured grids

Q35571214

A rabbit ventricular action potential model replicating cardiac dynamics at rapid heart rates

Q36303175

Solvers for the cardiac bidomain equations

Q36953830

From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales

Q37208077

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

Q38628714

Acceleration of cardiac tissue simulation with graphic processing units

Q42015534

Strong scaling and speedup to 16,384 processors in cardiac electro-mechanical simulations.

Q43228987

A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction

Q45172101

A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

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Computational tools for modeling electrical activity in cardiac tissue.

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A practical algorithm for solving dynamic membrane equations.

issue

number of pages

page(s)

2281-2290

P577

publication date

2012-06-05

P1433

published in

IEEE Transactions on Biomedical Engineering

Q15758806

P1476

title

Accelerating cardiac bidomain simulations using graphics processing units

P478

volume

Reverse relations

cites work (P2860)

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P8978	DBLP publication ID	journals/tbe/NeicLHMVHP12
P356	DOI	10.1109/TBME.2012.2202661
P932	PMC publication ID	3696513
P698	PubMed publication ID	22692867