Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Alzheimer's Disease Neuroimaging Initiative (ADNI)"”.
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Evaluating Neuroimaging Modalities in the A/T/N Framework: Single and Combined FDG-PET and T1-Weighted MRI for Alzheimer’s Diagnosis
… escalating prevalence of dementia, particularly Alzheimer's Disease (AD), the need for early and precise diagnostic techniques is rising. This study delves into the comparative efficacy of Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) and T1-weighted Magnetic Resonance Imaging (MRI) …
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Personalized Gaussian process-based machine learning models for forecasting Alzheimer's Disease progression
… subject data collected from the longitudinal Alzheimer's Disease Neuroimaging Initiative (ADNI) study. Thus, this thesis explores the impact of PML in the context of predicting the progression of Alzheimer's disease (AD) by predicting various cognitive, clinical, and behavioral metrics known …
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Predicting progressions and clinical subtypes of Alzheimer’s disease using machine learning
Alzheimer’s disease is a degenerative brain disease which impairs a person’s ability to perform day to day activities. Research has shown AD to be a heterogeneous condition, having a high variation in terms of the symptoms and disease progression rate. Treating Alzheimer's disease (AD) is …
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MRI Measures of Neurodegeneration as Biomarkers of Alzheimer's Disease
Alzheimer’s disease (AD) is the most common age-related neurodegenerative disease. Many researchers believe that an effective AD treatment will prevent the development of disease rather than treat the disease after a diagnosis. Therefore, the development of tools to detect AD-related pathology in …