Omar Dekhil

According to our database, Omar Dekhil authored at least 11 papers between 2017 and 2021.

Collaborative distances:

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

2021

Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns.

Omar Dekhil, Ahmed Shalaby, Ahmed Soliman, Ali Mahmoud, Maiying Kong, Gregory Barnes, Adel Elmaghraby, Ayman El-Baz

Medical Image Anal., 2021

2020

A Novel Framework for Grading Autism Severity Using Task-Based FMRI.

Reem Haweel, Omar Dekhil, Ahmed Shalaby, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Robert Keynton, Gregory Barnes, Ayman El-Baz

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI.

Reem Haweel, Omar Dekhil, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Robert Keynton, Gregory Barnes, Ayman El-Baz

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

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.

Yaser A. Elnakieb, Gregory N. Barnes, Ayman S. El-Baz, Ahmed Soliman, Ali Mahmoud, Omar Dekhil, Ahmed Shalaby, Mohammed Ghazal, Ashraf Khalil, Andrew E. Switala, Robert S. Keynton

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

2018

Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports.

Omar Dekhil, Mohamed T. Ali, Ahmed Shalaby, Ali Mahmoud, Andy Switala, Mohammed Ghazal, Hassan Hajjdiab, Begonya Garcia-Zapirain, Adel Elmaghraby, Robert Keynton, Gregory Barnes, Ayman El-Baz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI.

Yaser A. Elnakieb, Mohamed T. Ali, Omar Dekhil, Mohamed E. Khalefa, Ahmed Soliman, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Hassan Hajjdiab, Adel Elmaghraby, Robert Keynton, Gregory Barnes, Ayman El-Baz

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

A Novel Fully Automated CAD System for Left Ventricle Volume Estimation.

Omar Dekhil, Fatma Taher, Fahmi Khalifa, Garth M. Beache, Adel Elmaghraby, Ayman El-Baz

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

Using resting state functional MRI to build a personalized autism diagnosis system.

Omar Dekhil, Hassan Hajjdiab, Babajide O. Ayinde, Ahmed Shalaby, Andy Switala, Dawn Sosnin, Aliaa Elshamekh, Mohammed Ghazal, Robert Keynton, Gregory Barnes, Ayman El-Baz

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

Towards Personalized Autism Diagnosis: Promising Results.

Yaser A. Elnakieb, Matthew Nitzken, Ahmed Shalaby, Omar Dekhil, Ali Mahmoud, Andy Switala, Adel Elmaghraby, Robert Keynton, Mohammed Ghazal, Ashraf Khalil, Gregory Barnes, Ayman El-Baz

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

A novel CAD system for autism diagnosis using structural and functional MRI.

Omar Dekhil, M. Ismail, Ahmed Shalaby, Andrew E. Switala, Adel Said Elmaghraby, Robert Keynton, Georgy L. Gimel'farb, Gregory Barnes, Ayman El-Baz

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017