Stephen John Payne
Stephen John Payne
Professor, Institute of Applied Mechanics, National Taiwan University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging
GWJ Harston, YK Tee, N Blockley, TW Okell, S Thandeswaran, G Shaya, ...
Brain 138 (1), 36-42, 2015
Synchronization between arterial blood pressure and cerebral oxyhaemoglobin concentration investigated by wavelet cross-correlation
AB Rowley, SJ Payne, I Tachtsidis, MJ Ebden, JP Whiteley, DJ Gavaghan, ...
Physiological measurement 28 (2), 161, 2006
Cell death, perfusion and electrical parameters are critical in models of hepatic radiofrequency ablation
SK Hall, EH Ooi, SJ Payne
International Journal of Hyperthermia 31 (5), 538-550, 2015
Comparing different analysis methods for quantifying the MRI amide proton transfer (APT) effect in hyperacute stroke patients
YK Tee, GWJ Harston, N Blockley, TW Okell, J Levman, F Sheerin, ...
NMR in Biomedicine 27 (9), 1019-1029, 2014
Artificial neural networks applied to fetal monitoring in labour
A Georgieva, SJ Payne, M Moulden, CWG Redman
Neural Computing and Applications 22 (1), 85-93, 2013
A three-state mathematical model of hyperthermic cell death
DP O’Neill, T Peng, P Stiegler, U Mayrhauser, S Koestenbauer, ...
Annals of biomedical engineering 39 (1), 570-579, 2011
A model of the interaction between autoregulation and neural activation in the brain
SJ Payne
Mathematical biosciences 204 (2), 260-281, 2006
Cerebral autoregulation: control of blood flow in the brain
S Payne
Springer, 2016
Phase‐rectified signal averaging for intrapartum electronic fetal heart rate monitoring is related to acidaemia at birth
A Georgieva, AT Papageorghiou, SJ Payne, M Moulden, CWG Redman
BJOG: An International Journal of Obstetrics & Gynaecology 121 (7), 889-894, 2014
Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure–flow relation: The CARNet study
ASS Meel-van den Abeelen, DM Simpson, LJY Wang, CH Slump, ...
Medical engineering & physics 36 (5), 620-627, 2014
Quantitative Bayesian model‐based analysis of amide proton transfer MRI
MA Chappell, MJ Donahue, YK Tee, AA Khrapitchev, NR Sibson, ...
Magnetic resonance in medicine 70 (2), 556-567, 2013
Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours
S Payne, R Flanagan, M Pollari, T Alhonnoro, C Bost, D O'Neill, T Peng, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2011
Unsteady loss in a high pressure turbine stage
SJ Payne, RW Ainsworth, RJ Miller, RW Moss, NW Harvey
International journal of heat and fluid flow 24 (5), 698-708, 2003
Modelling of pH dynamics in brain cells after stroke
P Orlowski, M Chappell, CS Park, V Grau, S Payne
Interface focus 1 (3), 408-416, 2011
Monitoring fetal maturation—objectives, techniques and indices of autonomic function
D Hoyer, J Żebrowski, D Cysarz, H Gonçalves, A Pytlik, C Amorim-Costa, ...
Physiological measurement 38 (5), R61, 2017
Modeling dispersion in arterial spin labeling: validation using dynamic angiographic measurements
MA Chappell, MW Woolrich, S Kazan, P Jezzard, SJ Payne, BJ MacIntosh
Magnetic resonance in medicine 69 (2), 563-570, 2013
Multivariate system identification for cerebral autoregulation
T Peng, AB Rowley, PN Ainslie, MJ Poulin, SJ Payne
Annals of biomedical engineering 36 (2), 308-320, 2008
Identifiability of generalized randles circuit models
SMM Alavi, A Mahdi, SJ Payne, DA Howey
IEEE Transactions on Control Systems Technology 25 (6), 2112-2120, 2016
Multi-scale homogenization of blood flow in 3-dimensional human cerebral microvascular networks
WK El-Bouri, SJ Payne
Journal of theoretical biology 380, 40-47, 2015
Wavelet phase synchronization analysis of cerebral blood flow autoregulation
T Peng, AB Rowley, PN Ainslie, MJ Poulin, SJ Payne
IEEE Transactions on Biomedical Engineering 57 (4), 960-968, 2010
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