Adversarial Network-Based Classification for Alzheimer's Disease Using Multimodal Brain Images: A Critical Analysis
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that represents a
significant and growing public health challenge. This work concisely summarizes AD …
significant and growing public health challenge. This work concisely summarizes AD …
[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
A smart Alzheimer's patient monitoring system with IoT-assisted technology through enhanced deep learning approach
Earlier detection of Alzheimer's disease is more significant for improving the quality of the
patient's life. This aspect may reduce the fatality rate among the population and also …
patient's life. This aspect may reduce the fatality rate among the population and also …
The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease
Alzheimer's Disease (AD) is one of the most devastating neurologic disorders, if not the
most, as there is no cure for this disease, and its symptoms eventually become severe …
most, as there is no cure for this disease, and its symptoms eventually become severe …
An interpretable deep learning optimized wearable daily detection system for Parkinson's disease
M Chen, Z Sun, T **n, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Walking detection in the daily life of patients with Parkinson's disease (PD) is of great
significance for tracking the progress of the disease. This study aims to implement an …
significance for tracking the progress of the disease. This study aims to implement an …
A study of auxiliary screening for Alzheimer's disease based on handwriting characteristics
H Qi, R Zhang, Z Wei, C Zhang, L Wang… - Frontiers in aging …, 2023 - frontiersin.org
Background and objectives Alzheimer's disease (AD) has an insidious onset, the early
stages are easily overlooked, and there are no reliable, rapid, and inexpensive ancillary …
stages are easily overlooked, and there are no reliable, rapid, and inexpensive ancillary …
Cognitive impairment assessment through handwriting (COGITAT) score: a novel tool that predicts cognitive state from handwriting for forensic and clinical …
Introduction Handwriting deteriorates proportionally to the writer's cognitive state. Such
knowledge is of special importance in the case of a contested will, where dementia of the …
knowledge is of special importance in the case of a contested will, where dementia of the …
ERABiLNet: enhanced residual attention with bidirectional long short-term memory
K Seerangan, M Nandagopal, RR Nair… - Scientific Reports, 2024 - nature.com
Alzheimer's Disease (AD) causes slow death in brain cells due to shrinkage of brain cells
which is more prevalent in older people. In most cases, the symptoms of AD are mistaken as …
which is more prevalent in older people. In most cases, the symptoms of AD are mistaken as …
From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods
In recent years, there has been a growing scientific interest in the study of effective methods
for the early diagnosis of Alzheimer's disease. In this area, it is generally agreed that …
for the early diagnosis of Alzheimer's disease. In this area, it is generally agreed that …
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis
Alzheimer's Disease (AD) is an incurable neurodegenerative disease that strongly impacts
the lives of the people affected. Even if, to date, there is no cure for this disease, its early …
the lives of the people affected. Even if, to date, there is no cure for this disease, its early …