| EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: A structured review M A Awal, M M Lai, G Azemi, B Boashash, P B Colditz Clinical Neurophysiology 127 (1), 285-296, 2016 | 132 | 2016 |
| Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection B Boashash, G Azemi, NA Khan Pattern Recognition 48 (3), 616-627, 2015 | 126 | 2015 |
| Time-frequency processing of nonstationary signals: Advanced TFD design to aid diagnosis with highlights from medical applications B Boashash, G Azemi, JM O'Toole IEEE signal processing magazine 30 (6), 108-119, 2013 | 118 | 2013 |
| Measuring time-varying information flow in scalp EEG signals: orthogonalized partial directed coherence A Omidvarnia, G Azemi, B Boashash, JM O’Toole, PB Colditz, ... IEEE transactions on biomedical engineering 61 (3), 680-693, 2013 | 116 | 2013 |
| A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with … B Boashash, L Boubchir, G Azemi EURASIP Journal on Advances in Signal Processing 2012, 1-21, 2012 | 75 | 2012 |
| Ricean K-factor estimation in mobile communication systems G Azemi, B Senadji, B Boashash IEEE Communications Letters 8 (10), 617-619, 2004 | 57 | 2004 |
| Mobile unit velocity estimation based on the instantaneous frequency of the received signal G Azemi, B Senadji, B Boashash IEEE Transactions on Vehicular Technology 53 (3), 716-724, 2004 | 53 | 2004 |
| Effective connectivity in brain networks estimated using EEG signals is altered in children with ADHD AK Abbas, G Azemi, S Amiri, S Ravanshadi, A Omidvarnia Computers in Biology and Medicine 134, 104515, 2021 | 43 | 2021 |
| A review of time–frequency matched filter design with application to seizure detection in multichannel newborn EEG B Boashash, G Azemi Digital Signal Processing 28, 28-38, 2014 | 39 | 2014 |
| A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals A Omidvarnia, G Azemi, PB Colditz, B Boashash Digital Signal Processing 23 (3), 780-790, 2013 | 35 | 2013 |
| A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis PS Baboukani, G Azemi, B Boashash, P Colditz, A Omidvarnia Digital Signal Processing 84, 59-68, 2019 | 34 | 2019 |
| Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities B Boashash, L Boubchir, G Azemi 2011 IEEE International Symposium on Signal Processing and Information …, 2011 | 29 | 2011 |
| Detection of epileptic seizures from compressively sensed EEG signals for wireless body area networks MH Aghababaei, G Azemi, JM O'Toole Expert Systems with Applications 172, 114630, 2021 | 26 | 2021 |
| Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry S Layeghy, G Azemi, P Colditz, B Boashash 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 24 | 2014 |
| Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time–frequency distributions with data-adapted kernels S Dong, G Azemi, B Boashash Biomedical Signal Processing and Control 10, 153-165, 2014 | 22 | 2014 |
| Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution A Omidvarnia, G Azemi, JM O'Toole, B Boashash Signal Processing 93 (11), 3251-3260, 2013 | 20 | 2013 |
| Automated detection of perinatal hypoxia using time–frequency-based heart rate variability features S Dong, B Boashash, G Azemi, BE Lingwood, PB Colditz Medical & biological engineering & computing 52, 183-191, 2014 | 19 | 2014 |
| Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach B Boashash, L Boubchir, G Azemi 2012 11th international conference on information science, signal processing …, 2012 | 19 | 2012 |
| Classification of fetal movement accelerometry through time-frequency features S Layeghy, G Azemi, P Colditz, B Boashash 2014 8th International Conference on Signal Processing and Communication …, 2014 | 18 | 2014 |
| Classification of normal/abnormal PCG recordings using a time–frequency approach H Hazeri, P Zarjam, G Azemi Analog Integrated Circuits and Signal Processing 109 (2), 459-465, 2021 | 17 | 2021 |
