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Brain and Behavior|January 30, 2026
Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease ClassificationSamuel L Warren, Ahmed A MoustafaBrain and Behavior|March 20, 2025
Towards Clinical Diagnoses: Classifying Alzheimer's Disease Using Single fMRI, Small Datasets, and Transfer LearningSamuel L Warren, Ahmed A Moustafa, Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|October 18, 2022
Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic reviewSamuel L Warren, Ahmed A MoustafaExperimental Brain Research|July 27, 2021
Harnessing forgetfulness: can episodic-memory tests predict early Alzheimer's disease?Samuel L Warren, Ahmed A Moustafa, Hany Alashwal, et al.Brain and Behavior|June 6, 2024
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and exampleSamuel L Warren, Danish M Khan, Ahmed A MoustafaCurrent Alzheimer Research|October 24, 2023
Common Neuropsychiatric S ymptoms in Alzheimer's Disease, Mild Cognitive Impairment, and Subjective Memory Complaints: A Unified FrameworkSamuel L Warren, Eid Abo Hamza, Richard Tindle, et al.Neuroscience and Biobehavioral Reviews|April 17, 2022
A neurocomputational model of creative processesRadwa Khalil, Ahmed A MoustafaJournal of Integrative Neuroscience|September 22, 2016
Impaired neurogenesis of the dentate gyrus is associated with pattern separation deficits: A computational studyFaramarz Faghihi, Ahmed A MoustafaNeural Networks : the Official Journal of the International Neural Network Society|April 9, 2017
Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational studyMustafa Zeki, Ahmed A MoustafaFrontiers in Psychology|August 19, 2016
The Influence of Divine Rewards and Punishments on Religious ProsocialityJames Saleam, Ahmed A MoustafaPageof 27