Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction
Accurately diagnosing Alzheimer's disease is essential for improving elderly health.
Meanwhile, accurate prediction of the mini-mental state examination score also can …
Meanwhile, accurate prediction of the mini-mental state examination score also can …
[HTML][HTML] Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease—A systematic model evaluation
Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with
various other measures (such as genetic covariates, biomarkers, vascular risk factors …
various other measures (such as genetic covariates, biomarkers, vascular risk factors …
Graph-based fusion of imaging, genetic and clinical data for degenerative disease diagnosis
Graph learning methods have achieved noteworthy performance in disease diagnosis due
to their ability to represent unstructured information such as inter-subject relationships. While …
to their ability to represent unstructured information such as inter-subject relationships. While …
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Accurately detecting Alzheimer's disease (AD) and predicting mini-mental state examination
(MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI) …
(MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI) …
Alzr-Net: A Novel Approach to Detect Alzheimer Disease
Alzheimer disease is the early stage of dementia that leads to loss of memory and other
working skills mostly in elderly people. There is currently no specific treatment available for …
working skills mostly in elderly people. There is currently no specific treatment available for …
Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition
Human activity recognition based on millimeter-wave radar is dedicated to monitor people's
daily activities and detect specific dangerous actions. Although existing methods achieve …
daily activities and detect specific dangerous actions. Although existing methods achieve …
Group Attention-based Multi-wave Graph Learning for Dementia Diagnosis
J Wei, B Jiao, X Tian, L Shen… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Dementia is a syndrome caused by various diseases and injuries to the brain. Considering
the differences in brain activity among different dementias, Electroencephalogram (EEG) …
the differences in brain activity among different dementias, Electroencephalogram (EEG) …
Alzheimer's Disease Prediction with Irregular MRI Sequences Based on Pyramid Squeeze Attention and Time-Sensitive Attention Mechanisms†
Y Chen, R Wang, Y Shao, B Xu, B Xu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) often leads to cognitive impairments and behavioral issues,
making early detection and treatment crucial for slowing the progression of the disease and …
making early detection and treatment crucial for slowing the progression of the disease and …
[PDF][PDF] AlzheimerNet-V3: Automated Deep Learning Approach for Detecting Alzheimer's Disease
IA Chughtai, MA Minhas - researchgate.net
Our investigation encompasses comprehensive experimentation and assesses the
efficiency of AlzheimerNet-V3 in collaboration with further pre-trained specimens. Notably …
efficiency of AlzheimerNet-V3 in collaboration with further pre-trained specimens. Notably …