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The differential diagnosis of neurodegenerative diseases, characterized by overlapping symptoms, may be challenging. Brain imaging coupled with artificial intelligence has been previously proposed for diagnostic support, but most of these…

Image and Video Processing · Electrical Eng. & Systems 2025-02-21 Pierrick Coupé , Boris Mansencal , José V. Manjón , Patrice Péran , Wassilios G. Meissner , Thomas Tourdias , Vincent Planche

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8 to 4.4 years after…

Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it significantly impairs the individual's ability to perform daily tasks…

Machine Learning · Computer Science 2023-11-06 Md Gulzar Hussain , Ye Shiren

The rapid global aging trend has led to an increase in dementia cases, including Alzheimer's disease, underscoring the urgent need for early and accurate diagnostic methods. Traditional diagnostic techniques, such as cognitive tests,…

Machine Learning · Computer Science 2024-09-06 Juan A. Berrios Moya

Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder characterized by beta-amyloid, pathologic tau, and neurodegeneration. There are no effective treatments for Alzheimer's disease at a late stage, urging…

Quantitative Methods · Quantitative Biology 2023-08-28 Enze Xu , Jingwen Zhang , Jiadi Li , Qianqian Song , Defu Yang , Guorong Wu , Minghan Chen

Whole-brain parcellation from MRI is a critical yet challenging task due to the complexity of subdividing the brain into numerous small, irregular shaped regions. Traditionally, template-registration methods were used, but recent advances…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Yucheng Li , Xiaofan Wang , Junyi Wang , Yijie Li , Xi Zhu , Mubai Du , Dian Sheng , Wei Zhang , Fan Zhang

We propose a mesh-based technique to aid in the classification of Alzheimer's disease dementia (ADD) using mesh representations of the cortex and subcortical structures. Deep learning methods for classification tasks that utilize structural…

Image and Video Processing · Electrical Eng. & Systems 2022-03-14 Emanuel A. Azcona , Pierre Besson , Yunan Wu , Arjun Punjabi , Adam Martersteck , Amil Dravid , Todd B. Parrish , S. Kathleen Bandt , Aggelos K. Katsaggelos

Alzheimer's disease and Frontotemporal dementia are two major types of dementia. Their accurate diagnosis and differentiation is crucial for determining specific intervention and treatment. However, differential diagnosis of these two types…

Image and Video Processing · Electrical Eng. & Systems 2022-06-16 Huy-Dung Nguyen , Michaël Clément , Boris Mansencal , Pierrick Coupé

The ageing population trend is correlated with an increased prevalence of acquired cognitive impairments such as dementia. Although there is no cure for dementia, a timely diagnosis helps in obtaining necessary support and appropriate…

Computer Vision and Pattern Recognition · Computer Science 2021-01-06 Xing Liang , Anastassia Angelopoulou , Epaminondas Kapetanios , Bencie Woll , Reda Al-batat , Tyron Woolfe

Dementia, a debilitating neurological condition affecting millions worldwide, presents significant diagnostic challenges. In this work, we introduce DEFORMISE, a novel DEep learning Framework for dementia diagnOsis of eldeRly patients using…

Image and Video Processing · Electrical Eng. & Systems 2025-11-21 Nikolaos Ntampakis , Konstantinos Diamantaras , Ioanna Chouvarda , Vasileios Argyriou , Panagiotis Sarigianndis

Magnetic resonance imaging (MRI) is the standard modality to understand human brain structure and function in vivo (antemortem). Decades of research in human neuroimaging has led to the widespread development of methods and tools to provide…

Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and Frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. EEG, a non-invasive tool for recording…

Signal Processing · Electrical Eng. & Systems 2024-08-21 Shivani Ranjan , Ayush Tripathi , Harshal Shende , Robin Badal , Amit Kumar , Pramod Yadav , Deepak Joshi , Lalan Kumar

Early detection of dementia is critical for timely medical intervention and improved patient outcomes. Neuropsychological tests are widely used for cognitive assessment but have traditionally relied on manual scoring. Automatic dementia…

Machine Learning · Computer Science 2025-07-15 Liming Wang , Saurabhchand Bhati , Cody Karjadi , Rhoda Au , James Glass

In the world, about 7 to 10 million elderly people are suffering from Parkinson's Disease (PD) disease. Parkinson's disease is a common neurological degenerative disease, and its clinical characteristics are Tremors, rigidity, bradykinesia,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-07 Elcin Huseyn

Alzheimer's disease (AD) is one of the most common public health issues the world is facing today. This disease has a high prevalence primarily in the elderly accompanying memory loss and cognitive decline. AD detection is a challenging…

Image and Video Processing · Electrical Eng. & Systems 2022-04-04 Zahraa Sh. Aaraji , Hawraa H. Abbas

Dementia is a complex syndrome impacting cognitive and emotional functions, with Alzheimer's disease being the most common form. This study focuses on enhancing dementia prediction using machine learning (ML) techniques on patient health…

Artificial Intelligence · Computer Science 2026-01-13 Shafiul Ajam Opee , Nafiz Fahad , Anik Sen , Rasel Ahmed , Fariha Jahan , Md. Kishor Morol , Md Rashedul Islam

Dementia in the elderly has recently become the most usual cause of cognitive decline. The proliferation of dementia cases in aging societies creates a remarkable economic as well as medical problems in many communities worldwide. A…

Neurons and Cognition · Quantitative Biology 2019-06-20 Tomasz M. Rutkowski , Marcin Koculak , Masato S. Abe , Mihoko Otake-Matsuura

Background: Alzheimers disease is a progressive neurodegenerative disorder and the main cause of dementia in aging. Hippocampus is prone to changes in the early stages of Alzheimers disease. Detection and observation of the hippocampus…

Image and Video Processing · Electrical Eng. & Systems 2021-06-17 Hossein Yousefi-Banaem , Saber Malekzadeh

Structural magnetic resonance imaging (sMRI) can identify subtle brain changes due to its high contrast for soft tissues and high spatial resolution. It has been widely used in diagnosing neurological brain diseases, such as Alzheimer…

Image and Video Processing · Electrical Eng. & Systems 2023-11-14 Xin Zhang , Liangxiu Han , Lianghao Han , Haoming Chen , Darren Dancey , Daoqiang Zhang

Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases and their differential diagnosis is…

Image and Video Processing · Electrical Eng. & Systems 2023-09-12 Huy-Dung Nguyen , Michaël Clément , Vincent Planche , Boris Mansencal , Pierrick Coupé
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