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Multi-modal biological, imaging, and neuropsychological markers have demonstrated promising performance for distinguishing Alzheimer's disease (AD) patients from cognitively normal elders. However, it remains difficult to early predict when…

Computer Vision and Pattern Recognition · Computer Science 2019-01-08 Hongming Li , Yong Fan

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that progressively impairs memory, decision-making, and overall cognitive function. As AD is irreversible, early prediction is critical for timely intervention and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Mahdieh Behjat Khatooni , Mohsen Soryani

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

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

Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive…

Machine Learning · Computer Science 2023-08-22 Deniz Sezin Ayvaz , Inci M. Baytas

Nowadays, a lot of scientific efforts are concentrated on the diagnosis of Alzheimer's Disease (AD) applying deep learning methods to neuroimaging data. Even for 2017, there were published more than a hundred papers dedicated to AD…

Machine Learning · Computer Science 2018-07-31 Yaroslav Shmulev , Mikhail Belyaev

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

For effective treatment of Alzheimer disease (AD), it is important to identify subjects who are most likely to exhibit rapid cognitive decline. Herein, we developed a novel framework based on a deep convolutional neural network which can…

Computer Vision and Pattern Recognition · Computer Science 2017-04-21 Hongyoon Choi , Kyong Hwan Jin

Alzheimer's disease (AD) is an irreversible, progressive neuro degenerative disorder that slowly destroys memory and thinking skills and eventually, the ability to carry out the simplest tasks. In this paper, a deep neural network based…

Image and Video Processing · Electrical Eng. & Systems 2021-05-17 Manu Subramoniam , Aparna T. R. , Anurenjan P. R. , Sreeni K. G

Alzheimer's Disease (AD) is a progressive disease preceded by Mild Cognitive Impairment (MCI). Early detection of AD is crucial for making treatment decisions. However, most of the literature on computer-assisted detection of AD focuses on…

Image and Video Processing · Electrical Eng. & Systems 2023-09-15 Misgina Tsighe Hagos , Niamh Belton , Ronan P. Killeen , Kathleen M. Curran , Brian Mac Namee

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

Alzheimer's disease (AD) and mild cognitive impairment (MCI), continue to be widely studied. While there is no consensus on whether MCIs actually "convert" to AD, the more important question is not whether MCIs convert, but what is the best…

Neurons and Cognition · Quantitative Biology 2015-05-28 Yaman Aksu , David J. Miller , George Kesidis , Don C. Bigler , Qing X. Yang

The early detection of Alzheimer's Disease is imperative to ensure early treatment and improve patient outcomes. There has consequently been extenstive research into detecting AD and its intermediate phase, mild cognitive impairment (MCI).…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Jamie Vo , Naeha Sharif , Ghulam Mubashar Hassan

\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…

Alzheimer's disease (AD) is an irreversible neurode generative disease of the brain.The disease may causes memory loss, difficulty communicating and disorientation. For the diagnosis of Alzheimer's disease, a series of scales are often…

Image and Video Processing · Electrical Eng. & Systems 2022-01-13 Yelu Gao , Huang Huang , Lian Zhang

The aging population of the U.S. drives the prevalence of Alzheimer's disease. Brookmeyer et al. forecasts approximately 15 million Americans will have either clinical AD or mild cognitive impairment by 2060. In response to this urgent…

Image and Video Processing · Electrical Eng. & Systems 2023-12-01 Long Chen , Liben Chen , Binfeng Xu , Wenxin Zhang , Narges Razavian

Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the patient from further damage of the brain cells and hence…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ali Nawaz , Syed Muhammad Anwar , Rehan Liaqat , Javid Iqbal , Ulas Bagci , Muhammad Majid

Alzheimer's Disease (AD) is the most common type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the manual study of MRI…

Machine Learning · Computer Science 2019-12-11 Rishu Garg , Rekh Ram Janghel , Yogesh Rathore

This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive…

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders worldwide. As it progresses, it leads to the deterioration of cognitive functions. Since AD is irreversible, early diagnosis is crucial for managing its…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Mahdieh Behjat Khatooni , Mohsen Soryani
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