公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
---|---|---|---|---|---|---|
2005 | A Bayesian approach for the estimation of model parameters from noisy data sets | Payne S.J.; STEPHEN JOHN PAYNE | IEEE Signal Processing Letters | |||
2018 | Bayesian Inference in Non-Markovian State-Space Models with Applications to Battery Fractional-Order Systems | Jacob P.E.; Alavi S.M.M.; Mahdi A.; Payne S.J.; Howey D.A.; STEPHEN JOHN PAYNE | IEEE Transactions on Control Systems Technology | |||
2014 | Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: The CARNet study | Meel-van den Abeelen A.S.S.; Simpson D.M.; Wang L.J.Y.; Slump C.H.; Zhang R.; Tarumi T.; Rickards C.A.; Payne S.; Mitsis G.D.; Kostoglou K.; Marmarelis V.; Shin D.; Tzeng Y.-C.; Ainslie P.N.; Gommer E.; M?ller M.; Dorado A.C.; Smielewski P.; Yelicich B.; Puppo C.; Liu X.; Czosnyka M.; Wang C.-Y.; Novak V.; Panerai R.B.; Claassen J.A.H.R.; STEPHEN JOHN PAYNE | Medical Engineering and Physics | |||
2022 | Blood Pressure Complexity Discriminates Pathological Beat-to-Beat Variability as a Marker of Vascular Aging | Lee Y.-K; Mazzucco S; Rothwell P.M; STEPHEN JOHN PAYNE ; Webb A.J.S. | Journal of the American Heart Association | 3 | 2 | |
2016 | Cardiovascular system I: The heart | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | Cardiovascular System I: The Heart | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | Cardiovascular System II: The Vasculature | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2016 | Cardiovascular system II: The vasculature | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2015 | Cell death, perfusion and electrical parameters are critical in models of hepatic radiofrequency ablation | Hall S.K.; Ooi E.H.; Payne S.J.; STEPHEN JOHN PAYNE | International Journal of Hyperthermia | |||
2016 | Cell structure and biochemical reactions | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | Cell Structure and Biochemical Reactions | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | Cellular Homeostasis and Membrane Potential | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2016 | Cellular homeostasis and membrane potential | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | Cellular Transport and Communication | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2016 | Cellular transport and communication | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2016 | The central nervous system | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2020 | The Central Nervous System | Chappell M.; Payne S.; STEPHEN JOHN PAYNE | Biosystems and Biorobotics | |||
2017 | Cerebral blood flow and metabolism: A quantitative approach | Payne S.J.; STEPHEN JOHN PAYNE | Cerebral Blood Flow and Metabolism: A Quantitative Approach | |||
2005 | A combined haemodynamic and biochemical model of cerebral autoregulation | Payne S.J.; Morris H.J.; Rowley A.B.; STEPHEN JOHN PAYNE | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings | |||
2006 | Combined transfer function analysis and modelling of cerebral autoregulation | Payne S.J.; Tarassenko L.; STEPHEN JOHN PAYNE | Annals of Biomedical Engineering |