Ahmed Naglah

According to our database, Ahmed Naglah authored at least 9 papers between 2015 and 2022.

Collaborative distances:

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

2022

Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images.

Ahmed Naglah, Fahmi Khalifa, Ayman El-Baz, Dibson D. Gondim

Medical Image Anal., 2022

Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging.

Ahmed Sharafeldeen, Mohamed El-Sharkawy, Ahmed Shaffie, Fahmi Khalifa, Ahmed Soliman, Ahmed Naglah, Reem Khaled, Manar Mansour Hussein, Mohammed F. Alrahmawy, Samir Elmougy, Jawad Yousaf, Mohammed Ghazal, Ayman El-Baz

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

2021

Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN.

Ahmed Naglah, Fahmi Khalifa, Reem Khaled, Ahmed Abdel Khalek Abdel Razek, Mohammed Ghazal, Guruprasad Giridharan, Ayman El-Baz

Sensors, 2021

Thyroid Cancer Computer-Aided Diagnosis System using MRI-Based Multi-Input CNN Model.

Ahmed Naglah, Fahmi Khalifa, Reem Khaled, Ahmed Abdel Khalek Abdel Razek, Ayman El-Baz

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Computer-Aided Diagnosis of Acute Myocardial Infarction using Time-Dependent Plasma Metabolites.

Ahmed Naglah, Andrew P. DeFilippis, Fahmi Khalifa, Narayana Singam, Bahjat Aladili, Mohammed Ghazal, Guruprasad Giridharan, Ashraf Khalil, Adel Elmaghraby, Ayman El-Baz

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

Managing Tropospheric Ducting Effect in Mobile Networks Using Unsupervised Machine Learning.

Mahmoud Nour, Ahmed Naglah, Mostafa Essa

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018

Athlete-Customized Injury Prediction using Training Load Statistical Records and Machine Learning.

Ahmed Naglah, Fahmi Khalifa, Ali Mahmoud, Mohammed Ghazal, Paul Jones, Teena Murray, Adel Said Elmaghraby, Ayman El-Baz

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

2015

Real-time scale-adaptive compressive tracking using two classification stages.

Ahmed Naglah, Abdelrahman ElDesouky, Mohamed ElHelw

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015