no code implementations • 22 Nov 2022 • Ramy Hussein, David Shin, Moss Zhao, Jia Guo, Guido Davidzon, Michael Moseley, Greg Zaharchuk
Such methods may enable more widespread and accurate CBF evaluation in larger cohorts who cannot undergo PET imaging due to radiation concerns, lack of access, or logistic challenges.
no code implementations • 6 Jul 2022 • Lyes Saad Saoud, Hasan AlMarzouqi, Ramy Hussein
This study introduces two hybrid cascaded models for forecasting multistep household power consumption in different resolutions.
no code implementations • Biomedicines 2022 • Ramy Hussein, Soojin Lee, Rabab Ward
Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of awareness.
no code implementations • 12 Feb 2022 • Ramy Hussein, Moss Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido Davidzon, Michael Moseley, Greg Zaharchuk
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and stroke.
1 code implementation • journal 2022 • Lyes Saad Saoud, Hasan Al-Marzouqi, Ramy Hussein
This study proposes a new technique using machine learning models based on the stationary wavelet transform (SWT) and transformers to forecast household power consumption in different resolutions.
no code implementations • 22 Jul 2020 • Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown
Accurate prediction of epileptic seizures has remained elusive, despite the many advances in machine learning and time-series classification.
no code implementations • 7 Apr 2019 • Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo
2) The traditional PCA is not a reliable method for iEEG data reduction in seizure prediction.