AIMC Topic: Alzheimer Disease
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Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks.
IEEE journal of biomedical and health informatics
Jul 17, 2019
Accurate prediction of disease trajectories is critical for early identification and timely treatment of patients at risk. Conventional methods in survival analysis are often constrained by strong parametric assumptions and limited in their ability t...
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE transactions on medical imaging
Jul 17, 2019
While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchical spatial features from medical images, it is still difficult to apply it directly to resting-state functional MRI (rs-fMRI) and the derived brain fu...
Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment.
Magnetic resonance imaging
Jul 15, 2019
In recent studies, neuroanatomical volume and shape asymmetries have been seen during the course of Alzheimer's Disease (AD) and could potentially be used as preclinical imaging biomarkers for the prediction of Mild Cognitive Impairment (MCI) and AD ...
Assessment of lipid peroxidation and artificial neural network models in early Alzheimer Disease diagnosis.
Clinical biochemistry
Jul 15, 2019
OBJECTIVE: Lipid peroxidation constitutes a molecular mechanism involved in early Alzheimer Disease (AD) stages, and artificial neural network (ANN) analysis is a promising non-linear regression model, characterized by its high flexibility and utilit...
The Model of Aging Acceleration Network Reveals the Correlation of Alzheimer's Disease and Aging at System Level.
BioMed research international
Jul 14, 2019
As the incidence of senile dementia continues to increase, researches on Alzheimer's disease (AD) have become more and more important. Several studies have reported that there is a close relationship between AD and aging. Some researchers even pointe...
Application of artificial neural network model in diagnosis of Alzheimer's disease.
BMC neurology
Jul 8, 2019
BACKGROUND: Alzheimer's disease has become a public health crisis globally due to its increasing incidence. The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explo...
Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.
NeuroImage. Clinical
Jul 4, 2019
Combining machine learning with neuroimaging data has a great potential for early diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, it remains unclear how well the classifiers built on one population can predict MCI/...
Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.
International journal for numerical methods in biomedical engineering
Jun 19, 2019
Alzheimer's disease is a neuropsychiatric, progressive, also an irreversible disease. There is not an effective cure for the disease. However, early diagnosis has an important role for treatment planning to delay its progression since the treatments ...
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE journal of biomedical and health informatics
Jun 17, 2019
Many classical machine learning techniques have been used to explore Alzheimer's disease (AD), evolving from image decomposition techniques such as principal component analysis toward higher complexity, non-linear decomposition algorithms. With the a...
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jun 11, 2019
INTRODUCTION: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia.
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