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Alzheimer's disease is the most common dementia leading to an irreversible neurodegenerative process. To date, subject revealed advanced brain structural alterations when the diagnosis is established. Therefore, an earlier diagnosis of this…

Computer Vision and Pattern Recognition · Computer Science 2018-07-10 Kilian Hett , Vinh-Thong Ta , Jose Vicente Manjon , Pierrick Coupé

Alzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, complicating efforts in treatment and intervention development. While new computational methods offer insights into AD progression, the reproducibility of…

Quantitative Methods · Quantitative Biology 2026-02-06 Emma Prevot , Cameron Shand , Neil Oxtoby , for Alzheimer's Disease Neuroimaging Initiative

Alzheimer's disease is the most common cause of dementia, yet difficult to accurately diagnose without the use of invasive techniques, particularly at the beginning of the disease. This work addresses the classification and analysis of…

Computer Vision and Pattern Recognition · Computer Science 2017-12-06 Wellington Pinheiro dos Santos , Ricardo Emmanuel de Souza , Ascendino Flávio Dias e Silva , Plínio Batista dos Santos Filho

The study's objective is to explore the distinctions in the functional brain network connectivity between Alzheimer's Disease (AD) patients and normal controls using Functional Magnetic Resonance Imaging (fMRI). The study included 590…

Neurons and Cognition · Quantitative Biology 2023-05-17 Yongcheng Yao

The number of informal caregivers for family members with Alzheimer's Disease (AD) is rising dramatically in the United States. AD caregivers disproportionately experience numerous health problems and are often isolated with little support.…

Human-Computer Interaction · Computer Science 2019-08-28 Elizabeth Stowell , Yixuan Zhang , Carmen Castaneda-Sceppa , Margie Lachman , Andrea G. Parker

Background: Despite the striking efforts in investigating neurobiological factors behind the acquisition of amyloid-\b{eta} (A), protein tau (T), and neurodegeneration ([N]) biomarkers, the mechanistic pathways of how AT[N] biomarkers…

Quantitative Methods · Quantitative Biology 2023-08-22 Jingwen Zhang , Qing Liu , Haorui Zhang , Michelle Dai , Qianqian Song , Defu Yang , Guorong Wu , Minghan Chen

Alzheimer's disease (AD) is a growing global health challenge as populations age, and timely, accurate diagnosis is essential to reduce individual and societal burden. However, real-world AD assessment is hampered by incomplete,…

Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of dementia. It leads to a decline in memory, reasoning ability, and behavior, especially in older people. The cause of Alzheimer's Disease is…

Machine Learning · Computer Science 2025-04-03 Jing Wang , Jun-En Ding , Feng Liu , Elisa Kallioniemi , Shuqiang Wang , Wen-Xiang Tsai , Albert C. Yang

Alzheimer's Disease (AD) is the world's leading neurodegenerative disease, which often results in communication difficulties. Analysing speech can serve as a diagnostic tool for identifying the condition. The recent ADReSS challenge…

Computation and Language · Computer Science 2024-07-24 Lucía Gómez-Zaragozá , Simone Wills , Cristian Tejedor-Garcia , Javier Marín-Morales , Mariano Alcañiz , Helmer Strik

Alzheimer's Disease (AD) is the most common neurodegenerative disorder with one of the most complex pathogeneses, making effective and clinically actionable decision support difficult. The objective of this study was to develop a novel…

Machine Learning · Computer Science 2022-09-27 Michal Golovanevsky , Carsten Eickhoff , Ritambhara Singh

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

Recent Alzheimer's disease (AD) patient studies have focused on retinal analysis, as the retina is the only part of the central nervous system which can be imaged non-invasively by optical methods. However as this is a relatively new…

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively. The manifestations in the brain image of some…

Image and Video Processing · Electrical Eng. & Systems 2023-08-11 Yanteng Zhang , Qizhi Teng , Xiaohai He , Tong Niu , Lipei Zhang , Yan Liu , Chao Ren

Introduction: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia. Methods: A deep learning method is…

Computer Vision and Pattern Recognition · Computer Science 2019-04-17 Hongming Li , Mohamad Habes , David A. Wolk , Yong Fan

Alzheimer's disease (AD) stands as the predominant cause of dementia, characterized by a gradual decline in speech and language capabilities. Recent deep-learning advancements have facilitated automated AD detection through spontaneous…

Computation and Language · Computer Science 2024-09-20 Chin-Po Chen , Jeng-Lin Li

Alterations in retinal layer thickness, measurable using Optical Coherence Tomography (OCT), have been associated with neurodegenerative diseases such as Alzheimer's disease (AD). While previous studies have mainly focused on segmented…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Yasemin Turkan , F. Boray Tek , M. Serdar Nazlı , Öykü Eren

Alzheimer's disease is the most common neurodegenerative disease. The aim of this study is to infer structural changes in brain connectivity resulting from disease progression using cortical thickness measurements from a cohort of…

Alzheimer's disease (AD) is driven by the accumulation of amyloid-beta (Abeta) proteins in the brain, leading to memory loss and cognitive decline. While monoclonal antibodies targeting Abetahave been approved, optimizing their use to…

Quantitative Methods · Quantitative Biology 2025-03-13 Kobra Rabiei , Jeffrey R. Petrella , Suzanne Lenhart , Chun Liu , P. Murali Doraiswamy , Wenrui Hao

Alzheimer's disease (AD) is the most common age-related dementia. Mild cognitive impairment (MCI) is the early stage of cognitive decline before AD. It is crucial to predict the MCI-to-AD conversion for precise management, which remains…

Image and Video Processing · Electrical Eng. & Systems 2022-03-10 Yiran Wei , Stephen J. Price , Carola-Bibiane Schönlieb , Chao Li

Alzheimer's Disease (AD) is a neurodegenerative disease affecting millions of individuals across the globe. As the prevalence of this disease continues to rise, early diagnosis is crucial to improve clinical outcomes. Neural networks,…

Image and Video Processing · Electrical Eng. & Systems 2024-09-06 Akshay Sunkara , Rajiv Morthala , Anav Jain , Srinjoy Ghose , Santosh Morthala
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