An improved deep residual network prediction model for the early diagnosis of Alzheimer's disease
H Sun, A Wang, W Wang, C Liu - Sensors, 2021 - mdpi.com
The early diagnosis of Alzheimer's disease (AD) can allow patients to take preventive
measures before irreversible brain damage occurs. It can be seen from cross-sectional …
measures before irreversible brain damage occurs. It can be seen from cross-sectional …
A machine learning classifier for predicting stable MCI patients using gene biomarkers
RH Lin, CC Wang, CW Tung - International Journal of Environmental …, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder with an insidious onset and
irreversible condition. Patients with mild cognitive impairment (MCI) are at high risk of …
irreversible condition. Patients with mild cognitive impairment (MCI) are at high risk of …
Classifying Alzheimer's disease and frontotemporal dementia using machine learning with cross‐sectional and longitudinal magnetic resonance imaging data
A Pérez‐Millan, J Contador… - Human brain …, 2023 - Wiley Online Library
Alzheimer's disease (AD) and frontotemporal dementia (FTD) are common causes of
dementia with partly overlapping, symptoms and brain signatures. There is a need to …
dementia with partly overlapping, symptoms and brain signatures. There is a need to …
Early MCI‐to‐AD Conversion Prediction Using Future Value Forecasting of Multimodal Features
In Alzheimer's disease (AD) progression, it is imperative to identify the subjects with mild
cognitive impairment before clinical symptoms of AD appear. This work proposes a …
cognitive impairment before clinical symptoms of AD appear. This work proposes a …
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI
Brain structural MRI has been widely used for assessing future progression of cognitive
impairment (CI) based on learning-based methods. Previous studies generally suffer from …
impairment (CI) based on learning-based methods. Previous studies generally suffer from …
Analysis of functional connectivity in depression based on a weighted hyper-network method
X Shao, W Kong, S Sun, N Li, X Li… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Brain connectivity network is a vital tool to reveal the interaction between different
brain regions. Currently, most functional connectivity methods can only capture pairs of …
brain regions. Currently, most functional connectivity methods can only capture pairs of …
MRI-based model for MCI conversion using deep zero-shot transfer learning
F Ren, C Yang, YA Nanehkaran - The Journal of Supercomputing, 2023 - Springer
This study describes a deep zero-shot transfer learning model (DZTLM) for predicting mild
cognitive impairment (MCI) in patients with Alzheimer's disease (AD). The proposed DZTLM …
cognitive impairment (MCI) in patients with Alzheimer's disease (AD). The proposed DZTLM …
Distinguishing patients with MRI-negative temporal lobe epilepsy from normal controls based on individual morphological brain network
W Zhang, Y Duan, L Qi, Z Li, J Ren, N Nangale… - Brain Topography, 2023 - Springer
Abstract Temporal Lobe Epilepsy (TLE) is the most common subtype of focal epilepsy and
the most refractory to drug treatment. Roughly 30% of patients do not have easily identifiable …
the most refractory to drug treatment. Roughly 30% of patients do not have easily identifiable …
Multivariate pattern analysis of medical imaging-based Alzheimer's disease
M Alarjani, B Almarri - Frontiers in Medicine, 2024 - frontiersin.org
Alzheimer's disease (AD) is a devastating brain disorder that steadily worsens over time. It is
marked by a relentless decline in memory and cognitive abilities. As the disease progresses …
marked by a relentless decline in memory and cognitive abilities. As the disease progresses …
Analysis of hippocampus evolution patterns and prediction of conversion in mild cognitive impairment using multivariate Morphometry Statistics
L Zhang, Y Fu, Z Zhao, Z Cong… - Journal of …, 2022 - content.iospress.com
Background: Mild cognitive impairment (MCI), which is generally regarded as the prodromal
stage of Alzheimer's disease (AD), is associated with morphological changes in brain …
stage of Alzheimer's disease (AD), is associated with morphological changes in brain …