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Ramy Hussein
Observed names:
Hussein R,
Hussein, Ramy
Institutions:
Stanford Medicine,
Stanford University
Observed institutions:
Microsoft (United States),
University of British Columbia,
Stanford Medicine,
Qatar University,
Alexandria University,
Stanford University
show all 6
ORCID:
0000-0002-8258-1173
Observed ORCID:
0000-0002-8258-1173
OpenAlex ID:
A5025636130
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals
2018
·
Ramy Hussein
, Hamid Palangi
, et al.
·
Clinical Neurophysiology
·
271
Epileptic Seizure Detection: A Deep Learning Approach
2018
·
Hussein, Ramy
, Palangi, Hamid
, et al.
·
arXiv (Cornell University)
·
140
PDF
Wavelet Transform With Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising
2015
·
Ramy Hussein
, Khaled Bashir Shaban
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
118
A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease
2021
·
Soojin Lee
, Ramy Hussein
, et al.
·
Journal of Neuroscience Methods
·
116
PDF
Semi-dilated convolutional neural networks for epileptic seizure prediction
2021
·
Ramy Hussein
, Soojin Lee
, et al.
·
Neural Networks
·
94
Multi-Channel Vision Transformer for Epileptic Seizure Prediction
2022
·
Ramy Hussein
, Soojin Lee
, et al.
·
Biomedicines
·
84
PDF
A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson’s Disease EEG Classification
2019
·
Soojin Lee
, Ramy Hussein
, et al.
·
IEEE Global Conference on Signal and Information Processing
·
74
Household Energy Consumption Prediction Using the Stationary Wavelet Transform and Transformers
2022
·
Lyes Saad Saoud
, Hasan Al-Marzouqi
, et al.
·
IEEE Access
·
64
PDF
Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals
2018
·
Ramy Hussein
, Mohamed Elgendi
, et al.
·
Expert Systems with Applications
·
60
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
2019
·
Hussein, Ramy
, Ahmed, Mohamed Osama
, et al.
·
arXiv (Cornell University)
·
48
PDF
Energy conservation‐based thresholding for effective wavelet denoising of partial discharge signals
2016
·
Ramy Hussein
, Khaled Bashir Shaban
, et al.
·
IET Science Measurement & Technology
·
45
Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary
2025
·
Bin Jiang
, Nancy Pham
, et al.
·
Radiology
·
41
Denoising different types of acoustic partial discharge signals using power spectral subtraction
2017
·
Ramy Hussein
, Khaled Bashir Shaban
, et al.
·
High Voltage
·
41
PDF
Denoising of acoustic partial discharge signals corrupted with random noise
2016
·
Ramy Hussein
, Khaled BashirShaban
, et al.
·
IEEE Transactions on Dielectrics and Electrical Insulation
·
36
Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise
2017
·
Ramy Hussein
, Khaled Bashir Shaban
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
35
Comparison of different fourth order Hilbert fractal antennas for partial discharge measurement
2017
·
Abd Almonam Zahed
, Ayman H. El-Hag
, et al.
·
IEEE Transactions on Dielectrics and Electrical Insulation
·
34
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
2013
·
Khalid Abualsaud
, Massudi Mahmuddin
, et al.
·
International Wireless Communications and Mobile Computing Conference (IWCMC)
·
29
Robust Detection of Epileptic Seizures Using Deep Neural Networks
2018
·
Ramy Hussein
, Hamid Palangi
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
28
Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network
2015
·
Ramy Hussein
, Amr Mohamed
, et al.
·
Biomedical Signal Processing and Control
·
28
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture
2021
·
Ramy Hussein
, Soojin Lee
, et al.
·
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
·
22
PDF
Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning
2022
·
Jui Khankari
, Yannan Yu
, et al.
·
Journal of NeuroInterventional Surgery
·
17
Ll-regularization based EEG feature learning for detecting epileptic seizure
2016
·
Ramy Hussein
, Z. Jane Wang
, et al.
·
IEEE Global Conference on Signal and Information Processing
·
16
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks
2023
·
Ramy Hussein
, David Shin
, et al.
·
Medical Image Analysis
·
11
PDF
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
2022
·
Ramy Hussein
, Moss Y. Zhao
, et al.
·
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
·
11
PDF
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
2013
·
Ramy Hussein
, Amr Mohamed
, et al.
·
Biomedical Engineering International Conference
·
10
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Works count:
57
Citation count:
1,583
H-index:
20
I10-index:
26
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