| A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines AF Khalaf, MI Owis, IA Yassine Expert Systems with Applications 42 (21), 8361-8368, 2015 | 142 | 2015 |
| An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory L Melloni, L Mudrik, M Pitts, K Bendtz, O Ferrante, U Gorska, R Hirschhorn, ... PLoS One 18 (2), e0268577, 2023 | 53 | 2023 |
| Convolutional neural networks for deep feature learning in retinal vessel segmentation AF Khalaf, IA Yassine, AS Fahmy 2016 IEEE international conference on image processing (ICIP), 385-388, 2016 | 52 | 2016 |
| Common spatial pattern and wavelet decomposition for motor imagery EEG-fTCD brain-computer interface A Khalaf, E Sejdic, M Akcakaya Journal of Neuroscience Methods 320, 98-106, 2019 | 33 | 2019 |
| Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity SI Kronemer, M Aksen, JZ Ding, JH Ryu, Q Xin, Z Ding, JS Prince, H Kwon, ... Nature Communications 13 (1), 7342, 2022 | 31 | 2022 |
| An adversarial collaboration to critically evaluate theories of consciousness Cogitate Consortium, O Ferrante, U Gorska-Klimowska, S Henin, ... BioRxiv, 2023.06. 23.546249, 2023 | 28 | 2023 |
| Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, KS Quigley, ... Expert Systems with Applications 140, 112890, 2020 | 26* | 2020 |
| A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound A Khalaf, E Sejdic, M Akcakaya Journal of neuroscience methods 313, 44-53, 2019 | 26 | 2019 |
| A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines A Khalaf, M Sybeldon, E Sejdic, M Akcakaya Journal of neuroscience methods 293, 174-182, 2018 | 24 | 2018 |
| Early cortical signals in visual stimulus detection H Kwon, SI Kronemer, KL Christison-Lagay, A Khalaf, J Li, JZ Ding, ... Neuroimage 244, 118608, 2021 | 21 | 2021 |
| Decreased but diverse activity of cortical and thalamic neurons in consciousness-impairing rodent absence seizures C McCafferty, BF Gruenbaum, R Tung, JJ Li, X Zheng, P Salvino, ... Nature Communications 14 (1), 117, 2023 | 18 | 2023 |
| Transfer learning for a multimodal hybrid EEG-fTCD brain–computer interface E Dagois, A Khalaf, E Sejdic, M Akcakaya IEEE Sensors Letters 3 (1), 1-4, 2018 | 17 | 2018 |
| Arrhythmia classification based on novel distance series transform of phase space trajectories KS Sayed, AF Khalaf, YM Kadah 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 16 | 2015 |
| Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis AF Khalaf, IA Yassine 2015 IEEE International Conference on Image Processing (ICIP), 1825-1829, 2015 | 15 | 2015 |
| Novel Bayesian classifier discriminant function optimization strategies for arrhythmia classification AF Ahmed, MI Owis, IA Yassine IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014 | 14 | 2014 |
| Towards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces A Khalaf, E Sejdic, M Akcakaya Journal of neural engineering 15 (5), 056019, 2018 | 12 | 2018 |
| Real-time cardiac arrhythmia classification using memristor neuromorphic computing system AM Hassan, AF Khalaf, KS Sayed, HH Li, Y Chen 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 12 | 2018 |
| A machine learning approach for classifying faults in microgrids using wavelet decomposition A Khalaf, HA Al Hassan, A Emes, M Akcakaya, BM Grainger 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 10 | 2019 |
| EEG-based neglect assessment: A feasibility study A Khalaf, J Kersey, S Eldeeb, G Alankus, E Grattan, L Waterstram, ... Journal of neuroscience methods 303, 169-177, 2018 | 10 | 2018 |
| Induced bioresistance via BNP detection for machine learning-based risk assessment S So, A Khalaf, X Yi, C Herring, Y Zhang, MA Simon, M Akcakaya, SH Lee, ... Biosensors and Bioelectronics 175, 112903, 2021 | 9 | 2021 |
Murat AkcakayaAssociate Professor of Electrical Engineering, University of PittsburghVerified email at pitt.edu
