PhD Dissertation on the College of Computer Sciences and Mathematics -Department of Computer Sciences, entitled:

Intelligent System to Detect Autism Spectrum Disorder Based on Structured and Functional MRI Information

By:
Nayif Mohammed Hammash

Supervised by :

Dr. Mohammed Chachan Younis

This thesis addressed the problem of the automated diagnosis of Autism Spectrum Disorder (ASD) based on magnetic resonance imaging, a complex neurodevelopmental condition characterized by subtle and heterogeneous patterns that are difficult to detect through human examination alone.

The study aimed to present an intelligent system based on deep learning that integrates the information of structural (sMRI) and functional (fMRI) images within a hierarchical, multi-view framework, extracting spatial features from the structural images and the temporal dynamics and functional connectivity from the functional images, and then fusing the representations of both modalities for the accurate detection of Autism Spectrum Disorder, while providing full interpretability that supports clinical trust.

The discussion committee consists of

Prof. Dr. Duha Basheer Abdullah   (Chairman)

Prof. Dr. Safwan Omar Hasoon   (Member)

Asst. Prof. Dr. Mahmood Maher Salih   (Member)

Asst. Prof. Dr. Ilaf Osama Abdul-Majeed   (Member)

Asst. Prof. Dr. Ammar Thaher Yaseen   (Member)

Asst. Prof. Dr. Mohammed Chachan Younis  (Member and Supervisor)