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Retinal optical coherence tomography (OCT) images are the biomarkers for neurodegenerative diseases, which are rising in prevalence. Early detection of Alzheimer's disease using retinal OCT is a primary challenging task. This work utilizes…

Image and Video Processing · Electrical Eng. & Systems 2025-08-19 Siva Manohar Reddy Kesu , Neelam Sinha , Hariharan Ramasangu , Thomas Gregor Issac

Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebrospinal fluid (CSF) analysis, which are costly and invasive. Consequently, structural MRI biomarkers such as cortical thickness (CT) are…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Geonwoo Baek , David H. Salat , Ikbeom Jang

Brain positron emission tomography (PET) imaging is broadly used in research and clinical routines to study, diagnose, and stage Alzheimer's disease (AD). However, its potential cannot be fully exploited yet due to the lack of portable…

Image and Video Processing · Electrical Eng. & Systems 2025-01-16 Eléonore V. Lieffrig , Takuya Toyonaga , Jiazhen Zhang , John A. Onofrey

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

Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity to develop sMRI-based univariate neurodegeneration…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Gang Wang , Qunxi Dong , Jianfeng Wu , Yi Su , Kewei Chen , Qingtang Su , Xiaofeng Zhang , Jinguang Hao , Tao Yao , Li Liu , Caiming Zhang , Richard J Caselli , Eric M Reiman , Yalin Wang

Background:Cognitive assessments represent the most common clinical routine for the diagnosis of Alzheimer's Disease (AD). Given a large number of cognitive assessment tools and time-limited office visits, it is important to determine a…

Quantitative Methods · Quantitative Biology 2020-11-16 Bo Peng , Xiaohui Yao , Shannon L. Risacher , Andrew J. Saykin , Li Shen , Xia Ning

Brain pathologies often manifest as partial or complete loss of tissue. The goal of many neuroimaging studies is to capture the location and amount of tissue changes with respect to a clinical variable of interest, such as disease…

Computer Vision and Pattern Recognition · Computer Science 2022-08-12 Samuel Gerber , Marc Niethammer , Ebrahim Ebrahim , Joseph Piven , Stephen R. Dager , Martin Styner , Stephen Aylward , Andinet Enquobahrie

Identifying and utilising various biomarkers for tracking Alzheimer's disease (AD) progression have received many recent attentions and enable helping clinicians make the prompt decisions. Traditional progression models focus on extracting…

Machine Learning · Computer Science 2023-11-08 Xulong Wang , Yu Zhang , Menghui Zhou , Tong Liu , Jun Qi , Po Yang

Dementia is a syndrome characterised by the decline of different cognitive abilities. Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 Juan Manuel Fernández Montenegro

Alzheimer's is a brain disease that gets worse over time and affects memory, thinking, and behavior. Alzheimer's disease (AD) can be treated and managed if it is diagnosed early, which can slow the progression of symptoms and improve…

Image and Video Processing · Electrical Eng. & Systems 2024-01-09 Taymaz Akan , Sait Alp , Mohammad A. N Bhuiyanb

Objective: This paper presents an Alzheimer's disease (AD) detection method based on learning structural similarity between Magnetic Resonance Images (MRIs) and representing this similarity as a graph. Methods: We construct the similarity…

Computer Vision and Pattern Recognition · Computer Science 2021-03-01 Kuo Yang , Emad A. Mohammed , Behrouz H. Far

Several biomarkers are hypothesized to indicate early stages of Alzheimer's disease, well before the cognitive symptoms manifest. Their precise relations to the disease progression, however, is poorly understood. This lack of understanding…

Applications · Statistics 2025-05-12 Mingyuan Li , Zheyu Wang , Akihiko Nishimura

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

In order to find effective treatments for Alzheimer's disease (AD), we need to identify subjects at risk of AD as early as possible. To this end, recently developed disease progression models can be used to perform early diagnosis, as well…

Quantitative Methods · Quantitative Biology 2020-03-11 Razvan V. Marinescu

Alzheimer's Disease (AD) is the most common form of dementia and often difficult to diagnose due to the multifactorial etiology of dementia. Recent works on neuroimaging-based computer-aided diagnosis with deep neural networks (DNNs) showed…

Image and Video Processing · Electrical Eng. & Systems 2022-07-06 Marla Narazani , Ignacio Sarasua , Sebastian Pölsterl , Aldana Lizarraga , Igor Yakushev , Christian Wachinger

Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported…

Medical Physics · Physics 2016-05-10 Kenya Murase , Naohiko Gondo , Tsutomu Soma

A number of life threatening neuro-degenerative disorders had degraded the quality of life for the older generation in particular. Dementia is one such symptom which may lead to a severe condition called Alzheimer's disease if not detected…

Neural and Evolutionary Computing · Computer Science 2024-02-01 Anuvab Sen , Udayon Sen , Subhabrata Roy

Accurate diagnosis of Alzheimer's Disease (AD) entails clinical evaluation of multiple cognition metrics and biomarkers. Metrics such as the Alzheimer's Disease Assessment Scale - Cognitive test (ADAS-cog) comprise multiple subscores that…

Machine Learning · Statistics 2017-08-16 Lev E. Givon , Laura J. Mariano , David O'Dowd , John M. Irvine , Abraham R. Schneider

Retinal optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) are promising tools for the (early) diagnosis of Alzheimer's disease (AD). These non-invasive imaging techniques are cost-effective and more…

Image and Video Processing · Electrical Eng. & Systems 2022-09-09 Yasemin Turkan , F. Boray Tek
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