Ramy Hussein

According to our database, Ramy Hussein authored at least 25 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks.

Ramy Hussein, David Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk

CoRR, 2022

Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting.

Lyes Saad Saoud, Hasan Al-Marzouqi, Ramy Hussein

CoRR, 2022

Household Energy Consumption Prediction Using the Stationary Wavelet Transform and Transformers.

Lyes Saad Saoud, Hasan Al-Marzouqi, Ramy Hussein

IEEE Access, 2022

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation.

Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Semi-dilated convolutional neural networks for epileptic seizure prediction.

Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown

Neural Networks, 2021

2020

Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture.

Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction.

Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo

CoRR, 2019

A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson's Disease EEG Classification.

Soojin Lee, Ramy Hussein, Martin J. McKeown

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Epileptic Seizure Prediction: A Multi-Scale Convolutional Neural Network Approach.

Ramy Hussein, Rabab Ward

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals.

Ramy Hussein, Mohamed Elgendi, Z. Jane Wang, Rabab K. Ward

Expert Syst. Appl., 2018

Robust Detection of Epileptic Seizures Using Deep Neural Networks.

Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise.

Ramy Hussein, Khaled Bashir Shaban, Ayman H. El-Hag

IEEE Trans. Instrum. Meas., 2017

Robust detection of acoustic partial discharge signals in noisy environments.

Ramy Hussein, Khaled Bashir Shaban, Ayman H. El-Hag

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

Joint-sparse dictionary learning: Denoising multiple measurement vectors.

Prerna Singh, Ramy Hussein, Angshul Majumdar, Rabab K. Ward

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Impulse denoising via transform learning.

Jyoti Maggu, Ramy Hussein, Angshul Majumdar, Rabab K. Ward

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

High performance EEG feature extraction for fast epileptic seizure detection.

Ramy Hussein, Mohamed Elgendi, Rabab Kreidieh Ward, Amr Mohamed

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Energy Efficient EEG Monitoring System for Wireless Epileptic Seizure Detection.

Ramy Hussein, Rabab K. Ward, Z. Jane Wang, Amr Mohamed

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Ll-regularization based EEG feature learning for detecting epileptic seizure.

Ramy Hussein, Z. Jane Wang, Rabab Kreidieh Ward

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Wavelet Transform With Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising.

Ramy Hussein, Khaled Bashir Shaban, Ayman H. El-Hag

IEEE Trans. Instrum. Meas., 2015

Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network.

Ramy Hussein, Amr Mohamed, Masoud Alghoniemy

Biomed. Signal Process. Control., 2015

Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising.

Ramy Hussein, Khaled Bashir Shaban, Ayman H. El-Hag

Proceedings of the International Conference on Communications, 2015

Energy-efficient on-board processing technique for wireless epileptic seizure detection systems.

Ramy Hussein, Amr Mohamed, Masoud Alghoniemy

Proceedings of the International Conference on Computing, Networking and Communications, 2015

2013

Energy-aware cross-layer optimization for EEG-based wireless monitoring applications.

Alaa Awad, Ramy Hussein, Amr Mohamed, Amr A. El-Sherif

Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, 2013

Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring.

Khalid Abualsaud, Massudi Mahmuddin, Ramy Hussein, Amr Mohamed

Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection.

Ramy Hussein, Amr Mohamed, Masoud Alghoniemy, Alaa Awad

Proceedings of the 4th Annual International Conference on Energy Aware Computing Systems and Applications, 2013