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 | 187 | 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 | 143 | 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 | 126 | 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 | 110 | 2014 |
Artificial neural networks applied to fetal monitoring in labour A Georgieva, SJ Payne, M Moulden, CWG Redman Neural Computing and Applications 22, 85-93, 2013 | 101 | 2013 |
Cerebral autoregulation: control of blood flow in the brain S Payne Springer 15, 125, 2016 | 99 | 2016 |
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, 570-579, 2011 | 85 | 2011 |
A model of the interaction between autoregulation and neural activation in the brain SJ Payne Mathematical biosciences 204 (2), 260-281, 2006 | 84 | 2006 |
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 | 83 | 2015 |
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 | 80 | 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 | 79 | 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 | 76 | 2014 |
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 | 74 | 2013 |
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 | 73 | 2013 |
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 | 70 | 2017 |
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 | 68 | 2011 |
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 | 67 | 2011 |
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 | 62 | 2008 |
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 | 62 | 2003 |
Transfer function analysis of dynamic cerebral autoregulation: a CARNet white paper 2022 update RB Panerai, P Brassard, JS Burma, P Castro, JAHR Claassen, ... Journal of Cerebral Blood Flow & Metabolism 43 (1), 3-25, 2023 | 61 | 2023 |