2 citations · 2 across the 3 of their papers we have counts for
3 papers
EEG-FM-Audit: A Systematic Evaluation and Analysis Pipeline for EEG Foundation Models
Xianheng Wang, Yige Yang, Damien Coyle
Large EEG Foundation Models (FMs) have shown great potential for decoding EEG signals across diverse cognitive tasks. However, existing EEG-FM studies exhibit three critical limita…
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify ch…
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiven…