Mohamed T. Ali

According to our database, Mohamed T. Ali authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Precision Diagnosis of Autism Through Resting FMRI and Machine Learning.

Mohamed Khudri, Mostafa Abdelrahim, Mohamed T. Ali, Ahmed Elnakib, Ahmed Shalaby, Ali Mahmoud, Sohail Contractor, Gregory N. Barnes, Ayman El-Baz

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Understanding Autism Using Machine Learning: A Structural MRI Study.

Mohamed T. Ali, Yaser A. Elnakieb, Ahmed Shalaby, Ahmed Elnakib, Ali Mahmoud, Huma Zia, Mohammed Ghazal, Gregory Barnes, Ayman El-Baz

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

2021

The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results.

Yaser A. Elnakieb, Mohamed T. Ali, Ahmed Elnakib, Ahmed Shalaby, Ahmed Soliman, Ali Mahmoud, Mohammed Ghazal, Gregory N. Barnes, Ayman El-Baz

Sensors, 2021

Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces.

Mohamed T. Ali, Yaser A. Elnakieb, Ahmed Shalaby, Ali H. Mahmoud, Andy Switala, Mohammed Ghazal, Adel Khelifi, Luay Fraiwan, Georgy Barnes, Ayman El-Baz

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

2020

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging.

Yaser A. Elnakieb, Mohamed T. Ali, Ahmed Soliman, Ali H. Mahmoud, Ahmed Shalaby, Norah Saleh Alghamdi, Mohammed Ghazal, Ashraf Khalil, Andrew E. Switala, Robert S. Keynton, Gregory N. Barnes, Ayman El-Baz

IEEE Access, 2020

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