1
2021
A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines

Aya F. Khalaf , Mohamed I. Owis , Inas A. Yassine
Expert Systems With Applications 42 ( 21) 8361 -8368

120
2015
Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis

Aya F. Khalaf , Inas A. Yassine
2015 IEEE International Conference on Image Processing (ICIP) 1825 -1829

6
2015
Convolutional neural networks for deep feature learning in retinal vessel segmentation

Aya F. Khalaf , Inas A. Yassine , Ahmed S. Fahmy
international conference on image processing 385 -388

22
2016
Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System

Amr M Hassan , Aya F Khalaf , Khaled S Sayed , Hai Helen Li
international conference of the ieee engineering in medicine and biology society 2018 2567 -2570

3
2018
Spectral correlation analysis for microcalcification detection in digital mammogram images

Aya F. Khalaf , Inas A. Yassine
international symposium on biomedical imaging 88 -91

3
2015
Image features of spectral correlation function for arrhythmia classification

Aya F. Khalaf , Mohammed I. Owis , Inas A. Yassine
international conference of the ieee engineering in medicine and biology society 2015 5199 -5202

1
2015
Arrhythmia classification based on novel distance series transform of phase space trajectories

Khaled S. Sayed , Aya F. Khalaf , Yasser M. Kadah
international conference of the ieee engineering in medicine and biology society 2015 5195 -5198

6
2015
Analysis of Multimodal Physiological Signals Within and Between Individuals to Predict Psychological Challenge vs. Threat

Aya Khalaf , Mohsen Nabian , Miaolin Fan , Yu Yin
Expert Systems With Applications 140 112890

1
2020
A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines.

Aya Khalaf , Matthew Sybeldon , Ervin Sejdic , Murat Akcakaya
Journal of Neuroscience Methods 293 174 -182

8
2018
EEG-based neglect assessment: A feasibility study.

Aya Khalaf , Jessica Kersey , Safaa Eldeeb , Gazihan Alankus
Journal of Neuroscience Methods 303 169 -177

2
2018
A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound.

Aya Khalaf , Ervin Sejdic , Murat Akcakaya
Journal of Neuroscience Methods 313 44 -53

12
2019
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.

Aya Khalaf , Ervin Sejdic , Murat Akcakaya
Journal of Neuroscience Methods 320 98 -106

8
2019
Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-FTCD Brain-computer Interface

Elise Dagois , Aya Khalaf , Ervin Sejdic , Murat Akcakaya
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 3082 -3086

2019
Mutual Information for Transfer Learning in SSVEP Hybrid EEG-fTCD Brain-Computer Interfaces

Aya Khalaf , Ervin Sejdic , Murat Akcakaya
international ieee/embs conference on neural engineering 941 -944

2019
A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

Aya Khalaf , Murat Akcakaya
Biomedical Engineering Online 19 ( 1) 23

1
2020
Towards optimal visual presentation design for hybrid EEG-fTCD brain-computer interfaces.

Aya Khalaf , Ervin Sejdic , Murat Akcakaya
Journal of Neural Engineering 15 ( 5) 056019 -056019

8
2018
EEG-fTCD hybrid brain-computer interface using template matching and wavelet decomposition.

Aya Khalaf , Ervin Sejdic , Murat Akcakaya
Journal of Neural Engineering 16 ( 3) 036014

4
2019
Induced bioresistance via BNP detection for machine learning-based risk assessment.

Seth So , Aya Khalaf , Xinruo Yi , Connor Herring
Biosensors and Bioelectronics 175 112903

2021
A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition

Aya Khalaf , Hashim A. Al Hassan , Adam Emes , Murat Akcakaya
2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) 1 -6

1
2019