Mohamed Shaban

According to our database, Mohamed Shaban authored at least 18 papers between 2013 and 2023.

Collaborative distances:

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

2023

Deep Learning for Parkinson's Disease Diagnosis: A Short Survey.

Mohamed Shaban

Comput., March, 2023

Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework.

Madan Parajuli, Mohamed Shaban, Thuy L. Phung

Int. J. Imaging Syst. Technol., January, 2023

Secure and Efficient Entanglement Distribution Protocol for Near-Term Quantum Internet.

Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail

CoRR, 2023

Secured Quantum Identity Authentication Protocol for Quantum Networks.

Mohamed Shaban, Muhammad Ismail

CoRR, 2023

Screening of Mild Cognitive Impairment in Patients with Parkinson's Disease Using a Variational Mode Decomposition Based Deep-Learning.

Madan Parajuli, Amy W. Amara, Mohamed Shaban

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

A Novel Deep-Learning Based Approach for Mild Cognitive Impairment Screening in Patients with Parkinson's Disease.

Madan Parajuli, Amy W. Amara, Mohamed Shaban

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey.

Md. Bipul Hossain, Na Gong, Mohamed Shaban

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

2021

A Deep-Learning Framework for the Detection of Oil Spills from SAR Data.

Mohamed Shaban, Reem Salim, Hadil Abu Khalifeh, Adel Khelifi, Ahmed Shalaby, Shady El-Mashad, Ali Mahmoud, Mohammed Ghazal, Ayman El-Baz

Sensors, 2021

Exploiting the Differential Wavelet Domain of Resting-State EEG Using a Deep-CNN for Screening Parkinson's Disease.

Mohamed Shaban, Stephen Cahoon, Fiza Khan, Mahalia Polk

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Automated Screening of Parkinson's Disease Using Deep Learning Based Electroencephalography.

Mohamed Shaban

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Deep Convolutional Neural Network for Parkinson's Disease Based Handwriting Screening.

Mohamed Shaban

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019

Deep Learning Based Method for Computer Aided Diagnosis of Diabetic Retinopathy.

Omar Dekhil, Ahmed Naglah, Mohamed Shaban, Mohammed Ghazal, Fatma Taher, Ayman El-Baz

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

2018

A study of distributed compressive sensing for the Internet of Things (IoT).

Mohamed Shaban, Ahmed Abdelgawad

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Automated Staging of Diabetic Retinopathy Using a 2D Convolutional Neural Network.

Mohamed Shaban, Zeliha Ogur, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Harpal Sandhu, Henry Kaplan, Ayman El-Baz

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

2017

Sub-Nyquist spectrum sensing for wideband cognitive radios: a survey.

Mohamed Shaban

Int. J. Wirel. Mob. Comput., 2017

2016

On sub-Nyquist spectrum sensing for wideband cognitve radios.

Mohamed Shaban, Magdy A. Bayoumi

Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

2015

ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology.

Mohamed Shaban, Tarek A. Idriss, Haytham Idriss, Magdy A. Bayoumi

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013

An efficient compressive wideband spectrum sensing architecture for cognitive radios.

Mohamed Shaban, Dmitri D. Perkins, Magdy A. Bayoumi

Proceedings of the IEEE Workshop on Signal Processing Systems, 2013