Aya Khalaf

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Murat AkcakayaAssociate Professor of Electrical Engineering, University of PittsburghAdresse e-mail validée de pitt.edu
Ervin SejdicUniversity of TorontoAdresse e-mail validée de ieee.org
Inas YassineProfessor of Biomedical Engineering Department, Cairo UniversityAdresse e-mail validée de eng.cu.edu.eg
Hal BlumenfeldAdresse e-mail validée de yale.edu
Mohamed OwisAssociate Professor of Biomedical Engineering, Cairo UniversityAdresse e-mail validée de eng1.cu.edu.eg
Sharif I. KronemerPostdoctoral Fellow, NIHAdresse e-mail validée de nih.gov
Khaled SayedDepartment of Epidemiology, University of FloridaAdresse e-mail validée de ufl.edu
Sarah OstadabbasElectrical & Computer Engineering, Northeastern UniversityAdresse e-mail validée de ece.neu.edu
Kate L Christison-LagayAssistant professor, Department of Biological Sciences, University of New HampshireAdresse e-mail validée de unh.edu
Hunki KwonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MAAdresse e-mail validée de mgh.harvard.edu
Erika H. SiegelSenior Research Scientist, FitbitAdresse e-mail validée de google.com
Karen QuigleyProfessor of Psychology, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Chun-An ChouNortheastern UniversityAdresse e-mail validée de northeastern.edu
Jolie Baumann WormwoodUniversity of New HampshireAdresse e-mail validée de unh.edu
Miaolin FanNeumarker Inc.Adresse e-mail validée de mgh.harvard.edu
Mohsen NabianHarvard University, Broad Institute of MIT and Harvard, Brigham and Women's HospitalAdresse e-mail validée de bwh.harvard.edu
Yu YinCase Western Reserve University (Assistant Professor)Adresse e-mail validée de case.edu
Lisa Feldman BarrettUniversity Distinguished Professor of Psychology, Northeastern UniversityAdresse e-mail validée de affective-science.org
Ahmed S FahmyBIDMC Harvard Medical SchoolAdresse e-mail validée de bidmc.harvard.edu
Elizabeth SkidmoreOccupational Therapy, University of PittsburghAdresse e-mail validée de pitt.edu

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Aya Khalaf

Postdoctoral Associate, Yale University

Adresse e-mail validée de yale.edu

Epilepsy Consciousness Brain Computer Interfaces Signal Processing Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	138	2015
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	48	2016
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	33	2023
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	31	2019
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	24*	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	23	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	22	2018
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	20	2022
Early cortical signals in visual stimulus detection H Kwon, SI Kronemer, KL Christison-Lagay, A Khalaf, J Li, JZ Ding, ... Neuroimage 244, 118608, 2021	15	2021
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	15	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	15	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	14	2015
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	12	2023
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
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	12	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	11	2018
An adversarial collaboration to critically evaluate theories of consciousness Cogitate Consortium, O Ferrante, U Gorska-Klimowska, S Henin, ... BioRxiv, 2023.06. 23.546249, 2023	9	2023
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
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	9	2020
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	9	2019

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