Alzheimer detection based on multi-agent systems: an intelligent image processing environment

H Allioui, M Sadgal, A El Faziki - … (AI2SD'2018) Vol 4: Advanced Intelligent …, 2019 - Springer
Nowadays, robust image processing and intelligent systems have gained much popularity
and importance in several fields o studies; Consequently, the use of Multi-agent systems …

MRI images segmentation for Alzheimer detection using multi-agent systems

K Arbai, H Allioui - … Systems for Sustainable Development (AI2SD'2018) …, 2019 - Springer
Neurodegenerative diseases such as Alzheimer's disease (AD), present increasing
challenges. Determining the sequence and evolution of the symptoms and pathologies of …

Intelligent environment for advanced brain imaging: multi-agent system for an automated Alzheimer diagnosis

H Allioui, M Sadgal, A Elfazziki - Evolutionary Intelligence, 2021 - Springer
Over decades Alzheimer's disease (AD) researches presented increasing challenges.
However, various methods were proposed to detect AD including image processing. This …

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image

J Feng, SW Zhang, L Chen, C Zuo… - … Medical Imaging and …, 2022 - Elsevier
Brain networks constructed with regions of interest (ROIs) from the structural magnetic
resonance imaging (sMRI) image are widely investigated for detecting Alzheimer's disease …

Multiscale deep convolutional networks for characterization and detection of Alzheimer's disease using MR images

C Ge, Q Qu, IYH Gu, AS Jakola - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper addresses the issues of Alzheimer's disease (AD) characterization and detection
from Magnetic Resonance Images (MRIs). Many existing AD detection methods use single …

Single and combined neuroimaging techniques for Alzheimer's disease detection

M Amini, MM Pedram, A Moradi… - Computational …, 2021 - Wiley Online Library
Alzheimer's disease (AD) consists of the gradual process of decreasing volume and quality
of neuron connection in the brain, which consists of gradual synaptic integrity and loss of …

Towards better interpretable and generalizable AD detection using collective artificial intelligence

HD Nguyen, M Clément, B Mansencal… - … Medical Imaging and …, 2023 - Elsevier
Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and
prognosis of this disease are essential to design an appropriate treatment plan, increasing …

A new alzheimer's disease classification technique from brain MRI images

S Awasthi, E Kapoor, AP Srivastava… - 2020 International …, 2020 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is one of the most common forms of dementia that leads to
memory loss mostly in elderly people. Treatment at the early stage of the disease will lessen …

A Methodical and Performance-based Investigation of Alzheimer Disease Detection on Magnetic Resonance and Multimodal Images

AM Lal - Current Medical Imaging, 2023 - ingentaconnect.com
Background: In recent years, Alzheimer's Disease (AD) has received more attention in the
field of medical imaging, which leads to cognitive disorders. Physicians mainly rely on MRI …

Machine learning for Alzheimer's disease detection based on neuroimaging techniques: A review

M Gharaibeh, M Elhies, M Almahmoud… - … on Information and …, 2022 - ieeexplore.ieee.org
Disease detection became one of the most important applications, especially with the rapid
development of artificial intelligence techniques in the medical field. Alzheimer's disease is …