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Neurodegeneration as measured through magnetic resonance imaging (MRI) is recognized as a potential biomarker for diagnosing Alzheimer's disease (AD), but is generally considered less specific than amyloid or tau based biomarkers. Due to a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Rosemary He , Gabriella Ang , Daniel Tward

Alzheimer's, an old age disease of people over 65 years causes problems with memory, thinking and behavior. This disease progresses very slow and its identification in early stages is very difficult. The symptoms of Alzheimer's appear…

Computer Vision and Pattern Recognition · Computer Science 2013-05-15 Ijaz Bukhari

Alzheimer's Disease is a neurodegenerative condition characterized by dementia and impairment in neurological function. The study primarily focuses on the individuals above age 40, affecting their memory, behavior, and cognitive processes…

Computer Vision and Pattern Recognition · Computer Science 2025-01-20 Mohammad Rafsan , Tamer Oraby , Upal Roy , Sanjeev Kumar , Hansapani Rodrigo

Image generation can provide physicians with an imaging diagnosis basis in the prediction of Alzheimer's Disease (AD). Recent research has shown that long-term AD predictions by image generation often face difficulties maintaining…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Xin Hong , Xinze Sun , Yinhao Li , Yen-Wei Chen

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent…

Image and Video Processing · Electrical Eng. & Systems 2025-02-11 Nasser A Alsadhan

Alzheimer's Disease (AD) is an irreversible neurodegenerative disorder affecting millions of individuals today. The prognosis of the disease solely depends on treating symptoms as they arise and proper caregiving, as there are no current…

Image and Video Processing · Electrical Eng. & Systems 2024-12-17 Prayas Sanyal , Srinjay Mukherjee , Arkapravo Das , Anindya Sen

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

In this study we propose a deformation-based framework to jointly model the influence of aging and Alzheimer's disease (AD) on the brain morphological evolution. Our approach combines a spatio-temporal description of both processes into a…

Neurons and Cognition · Quantitative Biology 2019-05-27 Raphaël Sivera , Hervé Delingette , Marco Lorenzi , Xavier Pennec , Nicholas Ayache

Alzheimer's disease (AD) is characterized by complex and largely unknown progression dynamics affecting the brain's morphology. Although the disease evolution spans decades, to date we cannot rely on long-term data to model the pathological…

Applications · Statistics 2019-08-14 Clement Abi Nader , Nicholas Ayache , Philippe Robert , Marco Lorenzi

Alzheimer's disease is a neurogenerative disease that alters memories, cognitive functions leading to death. Early diagnosis of the disease, by detection of the preliminary stage, called Mild Cognitive Impairment (MCI), remains a…

Image and Video Processing · Electrical Eng. & Systems 2020-12-03 Achraf Ben Miled , Taoufik Yeferny , Amira ben Rabeh

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 (AD) is an irreversible devastative neurodegenerative disorder associated with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for the development of possible future treatment…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Ahsan Bin Tufail , Qiu-Na Zhang , Yong-Kui Ma

Alzheimer's Disease is a devastating neurological disorder that is increasingly affecting the elderly population. Early and accurate detection of Alzheimer's is crucial for providing effective treatment and support for patients and their…

Image and Video Processing · Electrical Eng. & Systems 2023-04-27 Krishna Mahapatra , Selvakumar R

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

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

Signal Processing · Electrical Eng. & Systems 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

Alzheimer's disease (AD) is associated with local (e.g. brain tissue atrophy) and global brain changes (loss of cerebral connectivity), which can be detected by high-resolution structural magnetic resonance imaging. Conventionally, these…

Machine Learning · Computer Science 2021-05-11 Sarah C. Brüningk , Felix Hensel , Catherine R. Jutzeler , Bastian Rieck

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

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, structural brain changes, and genetic predispositions. This study leverages machine-learning and statistical techniques to investigate…

Applications · Statistics 2025-10-29 Riddhik Basu , Arkaprava Roy

Recent evidence has shown that structural magnetic resonance imaging (MRI) is an effective tool for Alzheimer's disease (AD) prediction and diagnosis. While traditional MRI-based diagnosis uses images acquired at a single time point, a…

Applications · Statistics 2021-11-02 Xiaowu Dai

We propose a method to predict the subject-specific longitudinal progression of brain structures extracted from baseline MRI, and evaluate its performance on Alzheimer's disease data. The disease progression is modeled as a trajectory on a…

Computer Vision and Pattern Recognition · Computer Science 2017-11-27 Alexandre Bône , Maxime Louis , Alexandre Routier , Jorge Samper , Michael Bacci , Benjamin Charlier , Olivier Colliot , Stanley Durrleman
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