2 citations · 2 across the 2 of their papers we have counts for
3 papers
q-bio.NC2021
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis
Dominik Klepl, Fei He, Min Wu +3
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, with around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing and char…
eess.AS2020
Data augmentation using generative networks to identify dementia
Bahman Mirheidari, Yilin Pan, Daniel Blackburn +5
Data limitation is one of the most common issues in training machine learning classifiers for medical applications. Due to ethical concerns and data privacy, the number of people t…
cs.CL2019★ 2 cited
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt
Bahman Mirheidari, Yilin Pan, Traci Walker +4
Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic iden…