Items where Author is "Saxton, Harry"
Number of items: 8.
Public
SAXTON, Harry, XU, Xu, SCHENKEL, Torsten and HALLIDAY, Ian
(2024).
Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis.
Journal of Computational Science, 79: 102287.
[Article]
SAXTON, Harry, XU, Xu, SCHENKEL, Torsten, CLAYTON, Richard H. and HALLIDAY, Ian
(2024).
Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis.
PLOS Computational Biology, 20 (7): e1011946.
[Article]
TAYLOR, Daniel J, SAXTON, Harry, HALLIDAY, Ian, NEWMAN, Tom, HOSE, DR, KASSAB, Ghassan S, GUNN, Julian P and MORRIS, Paul D
(2024).
Systematic review and meta-analysis of Murray's law in the coronary arterial circulation.
American journal of physiology. Heart and circulatory physiology, 327 (1), H182-H190.
[Article]
TAYLOR, Daniel J., SAXTON, Harry, HALLIDAY, Ian, NEWMAN, Tom, FEHER, Jeroen, GOSLING, Rebecca, NARRACOTT, Andrew J., VAN KEMENADE, Denise, VAN’T VEER, Marcel, TONINO, Pim A.L., ROCHETTE, Michel, HOSE, D. Rodney, GUNN, Julian P. and MORRIS, Paul D.
(2024).
Evaluation of models of sequestration flow in coronary arteries—Physiology versus anatomy?
Computers in Biology and Medicine, 173: 108299.
[Article]
SAXTON, Harry, XU, Xu, SCHENKEL, Torsten, CLAYTON, Richard H. and HALLIDAY, Ian
(2024).
Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis.
[Pre-print]
(Unpublished)
[Pre-print]
SAXTON, Harry, SCHENKEL, Torsten, HALLIDAY, Ian and XU, Xu
(2023).
Personalised parameter estimation of the cardiovascular system: Leveraging data assimilation and sensitivity analysis.
Journal of Computational Science, 74: 102158.
[Article]
SAXTON, Harry, XU, Xu, HALLIDAY, Ian and SCHENKEL, Torsten
(2023).
New perspectives on sensitivity and identifiability analysis using the unscented kalman filter.
[Pre-print]
(Unpublished)
[Pre-print]
None
SCHENKEL, Torsten and SAXTON, Harry
(2022).
CirculationModels.jl - an acausal modelling library for cardiovascular circulation.
Github.com.
[Other]