Aya Khalaf
Title
Cited by
Cited by
Year
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
762015
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
182016
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
112018
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
102019
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
102018
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
102015
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
92019
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
92014
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
72015
An EEG and fTCD based BCI for control
A Khalaf, M Sybeldon, E Sejdic, M Akcakaya
2016 50th Asilomar Conference on Signals, Systems and Computers, 1285-1289, 2016
62016
Analysis of multimodal physiological signals within and across individuals to predict psychological threat vs. challenge
A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, K Quigley, ...
PsyArXiv, 2017
5*2017
EEG-fTCD hybrid brain–computer interface using template matching and wavelet decomposition
A Khalaf, E Sejdic, M Akcakaya
Journal of neural engineering 16 (3), 036014, 2019
42019
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
42018
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
42018
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
42018
Image features of spectral correlation function for arrhythmia classification
AF Khalaf, MI Owis, IA Yassine
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
42015
Spectral correlation analysis for microcalcification detection in digital mammogram images
AF Khalaf, IA Yassine
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 88-91, 2015
32015
Blind deconvolution of EEG signals using the stochastic calculus
A Abutaleb, A Fawzy, K Sayed
2012 Cairo International Biomedical Engineering Conference (CIBEC), 175-178, 2012
32012
A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces
A Khalaf, M Akcakaya
BioMedical Engineering OnLine 19, 1-18, 2020
12020
Hybrid EEG–fTCD Brain–Computer Interfaces
A Khalaf, E Sejdic, M Akcakaya
Neuroergonomics, 295-314, 2020
12020
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