Ramy Hussein

Ramy Hussein

Stanford University

H-index: 18

North America-United States

About Ramy Hussein

Ramy Hussein, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Artificial Intelligence, Computer Vision, Signal/Image Processing, Medical Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks

Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning

Multi-task deep learning for cerebrovascular disease classification and MRI-to-PET translation

Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting

Multi-channel vision transformer for epileptic seizure prediction

Household energy consumption prediction using the stationary wavelet transform and transformers

Brain mri-to-pet synthesis using 3d convolutional attention networks

Ramy Hussein Information

University

Position

___

Citations(all)

1151

Citations(since 2020)

1005

Cited By

442

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

24

i10Index(since 2020)

20

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Ramy Hussein Skills & Research Interests

Artificial Intelligence

Computer Vision

Signal/Image Processing

Medical Imaging

Top articles of Ramy Hussein

Title

Journal

Author(s)

Publication Date

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks

Medical Image Analysis

Ramy Hussein

David Shin

Moss Y Zhao

Jia Guo

Guido Davidzon

...

2024/4/1

Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Applied Sciences

Britney Campbell

Dhruv Yadav

Ramy Hussein

Maria Jovin

Sierrah Hoover

...

2023/10/29

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning

Journal of NeuroInterventional Surgery

Jui Khankari

Yannan Yu

Jiahong Ouyang

Ramy Hussein

Huy M Do

...

2023/6/1

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

...

2022/8/21

Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting

arXiv preprint arXiv:2207.02589

Lyes Saad Saoud

Hasan AlMarzouqi

Ramy Hussein

2022/7/6

Multi-channel vision transformer for epileptic seizure prediction

Biomedicines

Ramy Hussein

Soojin Lee

Rabab Ward

2022/6/29

Household energy consumption prediction using the stationary wavelet transform and transformers

IEEE Access

Lyes Saad Saoud

Hasan Al-Marzouqi

Ramy Hussein

2022/1/6

Brain mri-to-pet synthesis using 3d convolutional attention networks

arXiv preprint arXiv:2211.12082

Ramy Hussein

David Shin

Moss Zhao

Jia Guo

Guido Davidzon

...

2022/11/22

Semi-dilated convolutional neural networks for epileptic seizure prediction

Neural Networks

Ramy Hussein

Soojin Lee

Rabab Ward

Martin J McKeown

2021/7/1

Epileptic seizure prediction: A semi-dilated convolutional neural network architecture

Ramy Hussein

Soojin Lee

Rabab Ward

Martin J McKeown

2021/1/10

A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease

Journal of neuroscience methods

Soojin Lee

Ramy Hussein

Rabab Ward

Z Jane Wang

Martin J McKeown

2021/9/1

Energy-efficient EEG monitoring systems for wireless epileptic seizure detection

Ramy Hussein

Rabab Ward

2020/1/1

See List of Professors in Ramy Hussein University(Stanford University)

Co-Authors

H-index: 39
Amr Mohamed

Amr Mohamed

Qatar University

H-index: 33
Ayman El-Hag

Ayman El-Hag

University of Waterloo

H-index: 27
Nasser Qaddoumi

Nasser Qaddoumi

American University of Sharjah

H-index: 21
Alaa Awad Abdellatif

Alaa Awad Abdellatif

Politecnico di Torino

H-index: 16
Massudi Mahmuddin

Massudi Mahmuddin

Universiti Utara Malaysia

H-index: 15
Masoud Alghoniemy

Masoud Alghoniemy

Alexandria University

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