King Salman Center for Disability Research

An explainable vision transformer approach for automated neurological disorder classification from brain MRI scans

Abstract Diagnosing Alzheimer’s Disease (AD), Multiple Sclerosis (MS), and brain tumors early enough to matter still depends heavily on brain MRI, and brain MRI still depends on radiologists who are in short supply almost everywhere. Convolutional neural networks have made real p...

Improving Autism Diagnosis Across Ages Using Eye-Tracking and Temporal Transformer Models

Variation in gaze behavior due to age is currently a considerable challenge in building reliable eye-tracking systems for Autism Spectrum Disorder (ASD) diagnosis. However, existing strategies often focus on static gaze representation or dataset-based information, which can lead...