| Classification of alcoholic EEG signals using wavelet scattering transform-based features AB Buriro, B Ahmed, G Baloch, J Ahmed, R Shoorangiz, SJ Weddell, ... Computers in biology and medicine 139, 104969, 2021 | 54 | 2021 |
| Extracellular vesicle biomarkers for cognitive impairment in Parkinson’s disease J Blommer, T Pitcher, M Mustapic, E Eren, PJ Yao, MP Vreones, ... Brain 146 (1), 195-208, 2023 | 50 | 2023 |
| Test-retest reliability and sample size estimates after MRI scanner relocation TR Melzer, RJ Keenan, GJ Leeper, S Kingston-Smith, SA Felton, ... Neuroimage 211, 116608, 2020 | 31 | 2020 |
| Stress-evoking emotional stimuli exaggerate deficits in motor function in Parkinson's disease RL Blakemore, R Shoorangiz, TJ Anderson Neuropsychologia 112, 66-76, 2018 | 29 | 2018 |
| Predicting microsleep states using EEG inter-channel relationships AB Buriro, R Shoorangiz, SJ Weddell, RD Jones IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (12 …, 2018 | 24 | 2018 |
| Prediction of microsleeps from EEG: Preliminary results R Shoorangiz, SJ Weddell, RD Jones 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 21 | 2016 |
| Neuropsychiatric symptoms are associated with dementia in Parkinson's disease but not predictive of it KL Horne, MR MacAskill, DJ Myall, L Livingston, S Grenfell, MJ Pascoe, ... Movement Disorders Clinical Practice 8 (3), 390-399, 2021 | 10 | 2021 |
| Effects of the number of rules on the quality of fuzzy logic control of induction motor Z Yunusa, A Dan-Isa, YA Sai'd, R Shoorangiz International Journal of Applied Electronics in Physics & Robotics 1 (1), 14-17, 2013 | 9 | 2013 |
| Bayesian multi-subject factor analysis to predict microsleeps from EEG power spectral features R Shoorangiz, SJ Weddell, RD Jones 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 8 | 2017 |
| Complex neuro-fuzzy system for function approximation R Shoorangiz, MH Marhaban International Journal of Applied Electronics in Physics & Robotics 1 (2), 5-9, 2013 | 8 | 2013 |
| EEG-based machine learning: Theory and applications R Shoorangiz, SJ Weddell, RD Jones Handbook of Neuroengineering, 2463-2501, 2023 | 7 | 2023 |
| The New Zealand Parkinson’s progression programme MR MacAskill, TL Pitcher, TR Melzer, DJ Myall, KL Horne, R Shoorangiz, ... Journal of the Royal Society of New Zealand 53 (4), 466-488, 2023 | 5 | 2023 |
| Test-retest reliability and sample size estimates after MRI scanner relocation. NeuroImage, 211, Article 116608 TR Melzer, RJ Keenan, GJ Leeper, S Kingston-Smith, SA Felton, ... | 5 | 2020 |
| Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning V Krishnamoorthy, R Shoorangiz, SJ Weddell, L Beckert, RD Jones 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Detection and prediction of microsleeps from EEG using Spatio-Temporal Patterns R Shoorangiz, AB Buriro, SJ Weddell, RD Jones 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Increased cerebral activity during microsleeps reflects an unconscious drive to re-establish consciousness MH Zaky, R Shoorangiz, GR Poudel, L Yang, CRH Innes, RD Jones International Journal of Psychophysiology 189, 57-65, 2023 | 4 | 2023 |
| Ensemble learning based on overlapping clusters of subjects to predict microsleep states from EEG AB Buriro, R Shoorangiz, SJ Weddell, RD Jones 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 4 | 2018 |
| Progressive MRI brain volume changes in ovine models of CLN5 and CLN6 neuronal ceroid lipofuscinosis SJ Murray, MM Almuqbel, SA Felton, NJ Palmer, DJ Myall, R Shoorangiz, ... Brain communications 5 (1), fcac339, 2023 | 3 | 2023 |
| Childbirth and Delayed Parkinson's Onset: A Reproducible Nonbiological Artifact of Societal Change MR MacAskill, DJ Myall, R Shoorangiz, TJ Anderson, TL Pitcher Movement Disorders 35 (7), 1268-1271, 2020 | 2 | 2020 |
| Adaptive unified neural network for dynamic power quality compensation B Ghazanfarpour, MAM Radzi, N Mariun, R Shoorangiz 2013 IEEE 7th International Power Engineering and Optimization Conference …, 2013 | 2 | 2013 |
