[HTML][HTML] Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

[HTML][HTML] Survey on explainable AI: From approaches, limitations and applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023 - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

[Retracted] Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer's Disease Detection

M Kamal, AR Pratap, M Naved… - Computational …, 2022 - Wiley Online Library
Alzheimer's disease is characterized by the presence of abnormal protein bundles in the
brain tissue, but experts are not yet sure what is causing the condition. To find a cure or …

Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA)

M Sudharsan, G Thailambal - Materials Today: Proceedings, 2023 - Elsevier
Alzheimer's disease (AD) is a neurodegenerative disease of the human brain that affects
neurotransmitters, tissue, and neurons that impair the senses, memories, and behaviors …

[HTML][HTML] An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI)

RA Hazarika, AK Maji, D Kandar, E Jasinska, P Krejci… - Electronics, 2023 - mdpi.com
Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …

An improved LeNet-deep neural network model for Alzheimer's disease classification using brain magnetic resonance images

RA Hazarika, A Abraham, D Kandar, AK Maji - IEEE Access, 2021 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a psychological disorder in elderly people which causes severe
intellectual disabilities. Proper processing of neuro-images can provide differences in brain …

[HTML][HTML] OViTAD: Optimized vision transformer to predict various stages of Alzheimer's disease using resting-state fMRI and structural MRI data

S Sarraf, A Sarraf, DD DeSouza, JAE Anderson… - Brain Sciences, 2023 - mdpi.com
Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …

Research of spatial context convolutional neural networks for early diagnosis of Alzheimer's disease

Y Tong, Z Li, H Huang, L Gao, M Xu, Z Hu - The Journal of …, 2024 - Springer
The early and effective diagnosis of Alzheimer's disease (AD) and mild cognitive impairment
(MCI) has received increasing attention in recent years. However, currently available deep …

Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease

I Abunadi - Connection Science, 2022 - Taylor & Francis
Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …

A descriptive framework for the field of deep learning applications in medical images

Y Tian, S Fu - Knowledge-Based Systems, 2020 - Elsevier
Deep learning in medical image analysis is a typical interdisciplinary application, which
needs support and cooperation of computer techniques and medical experience, and has …