5 papers
Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
Alzheimer's disease (AD) leads to progressive cognitive decline, making early detection crucial for effective intervention. While deep learning models have shown high accuracy in A…
Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
Alzheimer's disease (AD) is characterized by progressive neurodegeneration and results in detrimental structural changes in human brains. Detecting these changes is crucial for ear…
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
Yasmine Mustafa, Tie Luo
The evolution of deep learning and artificial intelligence has significantly reshaped technological landscapes. However, their effective application in crucial sectors such as medi…
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps
Yasmine Mustafa, Tie Luo
Alzheimer's disease (AD) is a prevalent and debilitating neurodegenerative disorder impacting a large aging population. Detecting AD in all its presymptomatic and symptomatic stage…
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo +1
Brain-Computer Interface (BCI) initially gained attention for developing applications that aid physically impaired individuals. Recently, the idea of integrating BCI with Augmented…