Deciphering the clinico-radiological heterogeneity of dysexecutive Alzheimer's disease
Dysexecutive Alzheimer's disease (dAD) manifests as a progressive dysexecutive syndrome
without prominent behavioral features, and previous studies suggest clinico-radiological …
without prominent behavioral features, and previous studies suggest clinico-radiological …
[HTML][HTML] Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various
diseases; however, challenges persist regarding image quality and accessibility during NMI …
diseases; however, challenges persist regarding image quality and accessibility during NMI …
LATE, Hippocampal Sclerosis, and Primary Age-related Tauopathy
VK Ramanan, J Graff-Radford - CONTINUUM: Lifelong Learning …, 2024 - journals.lww.com
OBJECTIVE Although Alzheimer disease (AD) is the most common neurodegenerative
cause of dementia, neurologists must be aware of other etiologies that can mimic the …
cause of dementia, neurologists must be aware of other etiologies that can mimic the …
The diagnostic and prognostic value of tau‐PET in amnestic MCI with different FDG‐PET subtypes
Objectives Mild cognitive impairment presenting with an amnestic syndrome (aMCI) and
amyloid positivity is considered due to AD. Many subjects, however, can show an overall …
amyloid positivity is considered due to AD. Many subjects, however, can show an overall …
Cross-modality PET image synthesis for Parkinson's Disease diagnosis: a leap from [18F]FDG to [11C]CFT
Abstract Purpose Dopamine transporter [11C] CFT PET is highly effective for diagnosing
Parkinson's Disease (PD), whereas it is not widely available in most hospitals. To develop a …
Parkinson's Disease (PD), whereas it is not widely available in most hospitals. To develop a …
A machine learning-based prediction of tau load and distribution in Alzheimer's disease using plasma, MRI and clinical variables
Tau positron emission tomography (PET) is a reliable neuroimaging technique for assessing
regional load of tau pathology in the brain, commonly used in Alzheimer's disease (AD) …
regional load of tau pathology in the brain, commonly used in Alzheimer's disease (AD) …
Deep interpretability methods for neuroimaging
MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
[HTML][HTML] Exploration of Imaging Genetic Biomarkers of Alzheimer's Disease Based on a Machine Learning Method
Y Wang, X Wang - Journal of Integrative Neuroscience, 2024 - imrpress.com
Background: Alzheimer's disease (AD) is an irreversible primary brain disease with insidious
onset. The rise of imaging genetics research has led numerous researchers to examine the …
onset. The rise of imaging genetics research has led numerous researchers to examine the …
Application of artificial intelligence frameworks in the clinical practice of neurology: recent advances and future directions
The influence of artificial intelligence (AI) on the practice of medicine is growing at a fast rate,
and healthcare systems will need to champion emerging technological advances to support …
and healthcare systems will need to champion emerging technological advances to support …