61 citations · 103 across the 7 of their papers we have counts for
7 papers
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks
Ramy Hussein, David Shin, Moss Zhao +4
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of a wide range of neurological diseases. Positron emission tomography (PET) with…
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
Lyes Saad Saoud, Hasan AlMarzouqi, Ramy Hussein
Sustainability requires increased energy efficiency with minimal waste. The future power systems should thus provide high levels of flexibility iin controling energy consumption. P…
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
Ramy Hussein, Moss Zhao, David Shin +6
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and st…
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture
Ramy Hussein, Soojin Lee, Rabab Ward +1
Accurate prediction of epileptic seizures has remained elusive, despite the many advances in machine learning and time-series classification. In this work, we develop a convolution…
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward +3
Objective: The aim of this study is to develop an efficient and reliable epileptic seizure prediction system using intracranial EEG (iEEG) data, especially for people with drug-res…
Epileptic Seizure Detection: A Deep Learning Approach
Ramy Hussein, Hamid Palangi, Rabab Ward +1
Epilepsy is the second most common brain disorder after migraine. Automatic detection of epileptic seizures can considerably improve the patients' quality of life. Current Electroe…
Adaptive Energy-aware Encoding for DWT-Based Wireless EEG Monitoring System
Ramy Hussein, Amr Mohamed
Wireless Electroencephalography (EEG) tele-monitoring systems performing encoding and streaming over energy-hungry wireless channels are limited in energy supply. However, excessiv…