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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

Exploring the application of deep learning technologies in the field of medical diagnostics, Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and diagnosing complex neurodegenerative diseases such as Alzheimer…

Image and Video Processing · Electrical Eng. & Systems 2024-03-26 Shaojie Li , Haichen Qu , Xinqi Dong , Bo Dang , Hengyi Zang , Yulu Gong

Early and accurate diagnosis of Alzheimer Disease is critical for effective clinical intervention, particularly in distinguishing it from Mild Cognitive Impairment, a prodromal stage marked by subtle structural changes. In this study, we…

Image and Video Processing · Electrical Eng. & Systems 2025-10-08 Fahad Mostafa , Kannon Hossain , Hafiz Khan

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 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

Mild cognitive impairment (MCI) leading to dementia results in a constellation of psychiatric disorders including depression, mood disorders, schizophrenia and others. With increasing age, mild cognitive impairment leads to increased…

Neurons and Cognition · Quantitative Biology 2023-08-10 Sheng Mai

Both functional and structural magnetic resonance imaging (fMRI and sMRI) are widely used for the diagnosis of mental disorder. However, combining complementary information from these two modalities is challenging due to their…

Image and Video Processing · Electrical Eng. & Systems 2024-04-02 Ziyu Zhou , Anton Orlichenko , Gang Qu , Zening Fu , Vince D Calhoun , Zhengming Ding , Yu-Ping Wang

Deep reinforcement learning (DRL) algorithms have the potential to provide new insights into psychiatric disorders. Here we create a DRL model of schizophrenia: a complex psychotic disorder characterized by anhedonia, avoidance, temporal…

Neurons and Cognition · Quantitative Biology 2025-10-30 Xena Al-Hejji , Santina Duarte , Jose Guillermo Gomez Castro , Edgar Bermudez Contreras , Eric Chalmers

Convolutional Neural Network (CNN) has been successfully applied on classification of both natural images and medical images but not yet been applied to differentiating patients with schizophrenia from healthy controls. Given the subtle,…

Computer Vision and Pattern Recognition · Computer Science 2020-03-20 Mengjiao Hu , Kang Sim , Juan Helen Zhou , Xudong Jiang , Cuntai Guan

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

Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodromal form mild cognitive impairment (MCI) based on structure Magnetic Resonance Imaging (sMRI) has provided a cost-effective and objective way for early prevention and…

Image and Video Processing · Electrical Eng. & Systems 2021-11-16 Xin Zhang , Liangxiu Han , Wenyong Zhu , Liang Sun , Daoqiang Zhang

Late-life depression (LLD) is a highly prevalent mood disorder occurring in older adults and is frequently accompanied by cognitive impairment (CI). Studies have shown that LLD may increase the risk of Alzheimer's disease (AD). However, the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Lintao Zhang , Lihong Wang , Minhui Yu , Rong Wu , David C. Steffens , Guy G. Potter , Mingxia Liu

Magnetic resonance imaging (MRI) is the gold standard for brain imaging. Deep learning (DL) algorithms have been proposed to aid in the diagnosis of diseases such as Alzheimer's disease (AD) from MRI scans. However, DL algorithms can suffer…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Akshit Achara , Esther Puyol Anton , Alexander Hammers , Andrew P. King

Schizophrenia is a globally prevalent psychiatric disorder that severely impairs daily life. Schizophrenia is caused by dopamine imbalances in the fronto-striatal pathways of the brain, which influences fine motor control in the cerebellum.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Rafael Castro , Ishaan Patel , Tarun Patanjali , Priya Iyer

Schizophrenia (SZ) is a brain disorder leading to detached mind's normally integrated processes. Hence, the exploration of the symptoms in relation to functional connectivity (FC) had great relevance in the field. FC can be investigated on…

Neurons and Cognition · Quantitative Biology 2026-04-08 Davide Coluzzi , Giuseppe Baselli

There is a growing amount of clinical, anatomical and functional evidence for the heterogeneous presentation of neuropsychiatric and neurodegenerative diseases such as schizophrenia and Alzheimers Disease (AD). Elucidating distinct subtypes…

Machine Learning · Computer Science 2020-07-13 Junhao Wen , Erdem Varol , Ganesh Chand , Aristeidis Sotiras , Christos Davatzikos

Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment (EMCI) to late mild cognitive impairment (LMCI) and eventually to AD. Accurate identification of these stages, especially distinguishing LMCI…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Aswini Kumar Patra , Soraisham Elizabeth Devi , Tejashwini Gajurel

Alzheimer's patients gradually lose their ability to think, behave, and interact with others. Medical history, laboratory tests, daily activities, and personality changes can all be used to diagnose the disorder. A series of time-consuming…

Machine Learning · Computer Science 2022-12-02 Md. Sharifur Rahman , Professor Girijesh Prasad

Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging. The most common symptoms include problems with communicating and abstract thinking, as well as disorientation. It is important to…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Fatih Altay , Guillermo Ramon Sanchez , Yanli James , Stephen V. Faraone , Senem Velipasalar , Asif Salekin

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
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