Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology
The understanding of complex physical or biological systems nearly always requires a characterization of the variability that underpins these processes. In addition, the data used to calibrate these models may also often exhibit considerable variability. A recent approach to deal with these issues h...
主要な著者: | Lawson, BAJ, Drovandi, CC, Cusimano, N, Burrage, P, Rodriguez, B, Burrage, K |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
American Association for the Advancement of Science
2018
|
類似資料
-
Perlin noise generation of physiologically realistic cardiac fibrosis
著者:: Lawson, BAJ, 等
出版事項: (2024) -
Slow recovery of excitability increases ventricular fibrillation risk as identified by emulation
著者:: Lawson, B, 等
出版事項: (2018) -
On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology.
著者:: Nicole Cusimano, 等
出版事項: (2015-01-01) -
Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation
著者:: Brodie A. Lawson, 等
出版事項: (2018-08-01) -
Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.
著者:: Gemmell, P, 等
出版事項: (2016)