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Dementia is a progressive cognitive syndrome with Alzheimer's disease (AD) as the leading cause. Conversation-based AD detection offers a cost-effective alternative to clinical methods, as language dysfunction is an early biomarker of AD.…

Computation and Language · Computer Science 2025-02-27 Arezo Shakeri , Mina Farmanbar , Krisztian Balog

Multimodal neuroimaging provides complementary structural and functional insights into both human brain organization and disease-related dynamics. Recent studies demonstrate enhanced diagnostic sensitivity for Alzheimer's disease (AD)…

Multimedia · Computer Science 2025-04-24 Yuxiang Wei , Yanteng Zhang , Xi Xiao , Tianyang Wang , Xiao Wang , Vince D. Calhoun

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

Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Huy-Dung Nguyen , Michaël Clément , Boris Mansencal , Pierrick Coupé

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

The rapid global aging trend has led to an increase in dementia cases, including Alzheimer's disease, underscoring the urgent need for early and accurate diagnostic methods. Traditional diagnostic techniques, such as cognitive tests,…

Machine Learning · Computer Science 2024-09-06 Juan A. Berrios Moya

Frontotemporal dementia and Alzheimer's disease are two common forms of dementia and are easily misdiagnosed as each other due to their similar pattern of clinical symptoms. Differentiating between the two dementia types is crucial for…

Image and Video Processing · Electrical Eng. & Systems 2021-09-30 Da Ma , Donghuan Lu , Karteek Popuri , Mirza Faisal Beg

Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnosis of AD in vivo. In this context, existing research has…

Machine Learning · Computer Science 2021-08-03 Amish Mittal , Sourav Sahoo , Arnhav Datar , Juned Kadiwala , Hrithwik Shalu , Jimson Mathew

Alzheimer's disease and Frontotemporal dementia are two major types of dementia. Their accurate diagnosis and differentiation is crucial for determining specific intervention and treatment. However, differential diagnosis of these two types…

Image and Video Processing · Electrical Eng. & Systems 2022-06-16 Huy-Dung Nguyen , Michaël Clément , Boris Mansencal , Pierrick Coupé

Alzheimer's disease (AD) persists as a paramount challenge in neurological research, characterized by the pathological hallmarks of amyloid-$\beta$ (A$\beta$) plaques and neurofibrillary tangles composed of hyperphosphorylated tau. This…

Molecular Networks · Quantitative Biology 2025-12-05 She Xutong

Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases and their differential diagnosis is…

Image and Video Processing · Electrical Eng. & Systems 2023-09-12 Huy-Dung Nguyen , Michaël Clément , Vincent Planche , Boris Mansencal , Pierrick Coupé

The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) associated with brain changes remains a challenging task. Recent studies have demonstrated that combination of multi-modality imaging techniques can better…

Machine Learning · Computer Science 2022-09-26 Jun Yu , Zhaoming Kong , Liang Zhan , Li Shen , Lifang He

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory and cognitive decline, affecting millions worldwide. Diagnosing AD is challenging due to its heterogeneous nature and variable progression. This…

Neurons and Cognition · Quantitative Biology 2024-10-22 Jiwon Youn , Dong Woo Kang , Hyun Kook Lim , Mansu Kim

Early diagnosis of Alzheimer's disease (AD) is critical for intervention before irreversible neurodegeneration occurs. Structural MRI (sMRI) is widely used for AD diagnosis, but conventional deep learning approaches primarily rely on…

Image and Video Processing · Electrical Eng. & Systems 2025-03-04 Shijia Zhang , Xiyu Ding , Brian Caffo , Junyu Chen , Cindy Zhang , Hadi Kharrazi , Zheyu Wang

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

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 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

Alzheimer's disease (AD) is the most common neurodegenerative disease in older people. Despite considerable efforts to find a cure for AD, there is a 99.6% failure rate of clinical trials for AD drugs, likely because AD patients cannot…

Machine Learning · Computer Science 2019-03-25 Jack Albright

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

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