Magdi El-Azab

According to our database, Magdi El-Azab authored at least 5 papers between 2016 and 2019.

Collaborative distances:

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

2019

Level sets-based image segmentation approach using statistical shape priors.

Ahmed ElTanboly, Mohammed Ghazal, Hassan Hajjdiab, Ahmed Shalaby, Andy Switala, Ali Mahmoud, Prasanna K. Sahoo, Magdi El-Azab, Ayman El-Baz

Appl. Math. Comput., 2019

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion.

Nabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Luay Fraiwan, Ahmed Aboelfetouh, Alaa Eldin M. Riad, Robert Keynton, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion.

Ahmed ElTanboly, Nabila Eladawi, Mohammed Elmogy, Mohammed Ghazal, Luay Fraiwan, Ahmed Aboelfetouh, Alaa Eldin M. Riad, Robert Keynton, Magdi El-Azab, Shlomit Schaal, Harpal Sandhu, Ayman El-Baz

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

An integrated framework for automatic clinical assessment of diabetic retinopathy grade using spectral domain OCT images.

Ahmed ElTanboly, Mohammed Ghazal, Ashraf Khalil, Ahmed Shalaby, Ali Mahmoud, Andy Switala, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2016

A novel automatic segmentation of healthy and diseased retinal layers from OCT scans.

Ahmed ElTanboly, Marwa Ismail, Andrew E. Switala, M. Mahmoud, Ahmed Soliman, T. Neyer, A. Palacio, A. Hadayer, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016