On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
Computer-aided diagnosis: A survey with bibliometric analysis
R Takahashi, Y Kajikawa - International journal of medical informatics, 2017 - Elsevier
Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …
decades. However, CAD is a very complicated subject because it involves a number of …
Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer's disease using structural MR and FDG-PET images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for
disease based on pathophysiology may be able to provide objective measures for disease …
disease based on pathophysiology may be able to provide objective measures for disease …
Evaluation of neuro images for the diagnosis of Alzheimer's disease using deep learning neural network
M Hamdi, S Bourouis, K Rastislav… - Frontiers in Public …, 2022 - frontiersin.org
Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an
incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is …
incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is …
Ensembles of deep learning architectures for the early diagnosis of the Alzheimer's disease
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …
Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging
For effective treatment of Alzheimer's disease (AD), it is important to identify subjects who
are most likely to exhibit rapid cognitive decline. We aimed to develop an automatic image …
are most likely to exhibit rapid cognitive decline. We aimed to develop an automatic image …
Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature …
We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …
PCA filtering and probabilistic SOM for network intrusion detection
The growth of the Internet and, consequently, the number of interconnected computers, has
exposed significant amounts of information to intruders and attackers. Firewalls aim to detect …
exposed significant amounts of information to intruders and attackers. Firewalls aim to detect …
Networks of tau distribution in Alzheimer's disease
Abstract See Whitwell (doi: 10.1093/brain/awy001) for a scientific commentary on this article.
A stereotypical anatomical propagation of tau pathology has been described in Alzheimer's …
A stereotypical anatomical propagation of tau pathology has been described in Alzheimer's …
[HTML][HTML] Efficient self-attention mechanism and structural distilling model for Alzheimer's disease diagnosis
Structural magnetic resonance imaging (sMRI) is commonly used for the identification of
Alzheimer's disease because of its keen insight into atrophy-induced changes in brain …
Alzheimer's disease because of its keen insight into atrophy-induced changes in brain …