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Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amnestic mild cognitive impairment (MCI) is a common first symptom before the conversion to clinical impairment where the individual becomes unable to perform activities…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

Alzheimer's disease (AD) leads to progressive cognitive decline, making early detection crucial for effective intervention. While deep learning models have shown high accuracy in AD diagnosis, their lack of interpretability limits clinical…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Yasmine Mustafa , Mohamed Elmahallawy , Tie Luo

Early diagnosis, playing an important role in preventing progress and treating the Alzheimer\{'}s disease (AD), is based on classification of features extracted from brain images. The features have to accurately capture main AD-related…

Machine Learning · Computer Science 2016-11-15 Ehsan Hosseini-Asl , Robert Keynto , Ayman El-Baz

Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Jyoti Islam , Yanqing Zhang

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

The prediction of mild cognitive impairment (MCI) conversion to Alzheimer's disease (AD) is important for early treatment to prevent or slow the progression of AD. To accurately predict the MCI conversion to stable MCI or progressive MCI,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-17 Linfeng Liu , Junyan Lyu , Siyu Liu , Xiaoying Tang , Shekhar S. Chandra , Fatima A. Nasrallah

Alzheimer's disease (AD) is a neuro-degenerative disease that can cause dementia and result severe reduction in brain function inhibiting simple tasks especially if no preventative care is taken. Over 1 in 9 Americans suffer from AD induced…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Paul K. Mandal , Rakesh Mahto

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…

Early and accurate classification of Alzheimers disease (AD) from brain MRI scans is essential for timely clinical intervention and improved patient outcomes. This study presents a comprehensive comparative analysis of five CNN…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Md Mahmudul Hoque , Shuvo Karmaker , Md. Hadi Al-Amin , Md Modabberul Islam , Jisun Junayed , Farha Ulfat Mahi

Alzheimer's disease (AD), characterized by progressive cognitive decline and memory loss, presents a formidable global health challenge, underscoring the critical importance of early and precise diagnosis for timely interventions and…

Image and Video Processing · Electrical Eng. & Systems 2024-10-01 Arindam Majee , Avisek Gupta , Sourav Raha , Swagatam Das

Unveiling pathological brain changes associated with Alzheimer's disease (AD) is a challenging task especially that people do not show symptoms of dementia until it is late. Over the past years, neuroimaging techniques paved the way for…

Quantitative Methods · Quantitative Biology 2018-08-07 Mayssa Soussia , Islem Rekik

The longitudinal modeling of neuroanatomical changes related to Alzheimer's disease (AD) is crucial for studying the progression of the disease. To this end, we introduce TransforMesh, a spatio-temporal network based on transformers that…

Computer Vision and Pattern Recognition · Computer Science 2021-09-24 Ignacio Sarasua , Sebastian Pölsterl , Christian Wachinger

Alzheimer's disease is a progressive neurodegenerative disorder that gradually deprives the patient of cognitive function and can end in death. With the advancement of technology today, it is possible to detect Alzheimer's disease through…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Muhammad Wildan Oktavian , Novanto Yudistira , Achmad Ridok

Alzheimer's Disease (AD), as the most devastating neurodegenerative disease worldwide, has reached nearly 10 million new cases annually. Current technology provides unprecedented opportunities to study the progression and etiology of this…

Neurons and Cognition · Quantitative Biology 2022-11-14 Zibin Zhao

A common neurodegenerative disease, Alzheimer's disease requires a precise diagnosis and efficient treatment, particularly in light of escalating healthcare expenses and the expanding use of artificial intelligence in medical diagnostics.…

Image and Video Processing · Electrical Eng. & Systems 2025-05-21 Soyabul Islam Lincoln , Mirza Mohd Shahriar Maswood

Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will…

Machine Learning · Computer Science 2023-02-17 Shrish Pellakur , Nelly Elsayed , Zag ElSayed , Murat Ozer

Alzheimer's disease (AD), a degenerative brain condition, can benefit from early prediction to slow its progression. As the disease progresses, patients typically undergo brain atrophy. Current prediction methods for Alzheimers disease…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Xin Honga , Jie Lin , Minghui Wang

Structural magnetic resonance imaging (sMRI) is widely used for brain neurological disease diagnosis; while longitudinal MRIs are often collected to monitor and capture disease progression, as clinically used in diagnosing Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2023-12-18 Qiuhui Chen , Yi Hong

\textbf{Objective:} Alzheimer's disease (AD) is the most prevalent form of dementia worldwide, encompassing a prodromal stage known as Mild Cognitive Impairment (MCI), where patients may either progress to AD or remain stable. The objective…

The retina provides a unique, noninvasive window into Alzheimer's disease (AD) and dementia, capturing early structural changes through morphometric features, while systemic and lifestyle risk factors reflect well-established contributors…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Seowung Leem , Lin Gu , Chenyu You , Kuang Gong , Ruogu Fang