1 citations · 1 across the 1 of their papers we have counts for
3 papers
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
Muath Alsuhaibani, Ali Pourramezan Fard, Jian Sun +3
This review paper explores recent advances in deep learning approaches for non-invasive cognitive impairment detection. We examine various non-invasive indicators of cognitive decl…
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss
Ali Pourramezan Fard, Mohammad H. Mahoor, Muath Alsuhaibani +1
This paper presents a deep learning method using Natural Language Processing (NLP) techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive (NC) cond…
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Muath Alsuhaibani, Hiroko H. Dodge, Mohammad H. Mahoor
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve ear…