Authors
Yaser ElNakieb, Mohamed T Ali, Omar Dekhil, Mohamed E Khalefa, Ahmed Soliman, Ahmed Shalaby, Ali Mahmoud, Mohamed Ghazal, Hassan Hajjdiab, Adel Elmaghraby, Robert Keynton, Gregory Barnes, Ayman El-Baz
Publication date
2018/12/6
Conference
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Pages
447-452
Publisher
IEEE
Description
Autism Spectrum Disorder, ASD, is prevalent lifelong mental disorder associated with difficulties i n s ocial interaction, communication skills, and behavioral patterns. Numerous studies were presented suggesting abnormal development of neural networks in the brain in shape and connectivity. Magnetic resonance imaging, MRI, is used to diagnose the structural (i.e., sMRI) the functionality (i.e., fMRI) of gray matter and connectivity of the white matter (WM), using diffusion tensor imaging, DTI. The goal of this paper is to integrate these perspective to allow a comprehensive and personalized computer aided diagnostic (CAD) for ASD patients.
Total citations
2020202120222023202411887
Scholar articles
Y ElNakieb, MT Ali, O Dekhil, ME Khalefa, A Soliman… - 2018 IEEE International Symposium on Signal …, 2018