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Nose-to-brain drug delivery: An update on clinical challenges and progress towards approval of anti-Alzheimer drugs
Abstract According to the Alzheimer Association Report (2017), Alzheimer's disease (AD) is
the 6th primary cause of death in the USA, which affects nearly 5.5 million people. In the …
the 6th primary cause of death in the USA, which affects nearly 5.5 million people. In the …
Brain atrophy in Alzheimer's disease and aging
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …
in clinical routine and research field, largely contributing to our understanding of the …
Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks
Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …
Landmark-based deep multi-instance learning for brain disease diagnosis
Abstract In conventional Magnetic Resonance (MR) image based methods, two stages are
often involved to capture brain structural information for disease diagnosis, ie, 1) manually …
often involved to capture brain structural information for disease diagnosis, ie, 1) manually …
Joint classification and regression via deep multi-task multi-channel learning for Alzheimer's disease diagnosis
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain
diseases and predicting clinical scores using magnetic resonance imaging (MRI) have …
diseases and predicting clinical scores using magnetic resonance imaging (MRI) have …
Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
Accurate diagnosis of Alzheimer's disease (AD) and its prodromal stage mild cognitive
impairment (MCI) is of great interest to patients and clinicians. Recent studies have …
impairment (MCI) is of great interest to patients and clinicians. Recent studies have …
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2013 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
A hybrid convolutional and recurrent neural network for hippocampus analysis in Alzheimer's disease
F Li, M Liu… - Journal of neuroscience …, 2019 - Elsevier
Background Hippocampus is one of the first structures affected by neurodegenerative
diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI) …
diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI) …
Multivariate data analysis and machine learning in Alzheimer's disease with a focus on structural magnetic resonance imaging
Machine learning algorithms and multivariate data analysis methods have been widely
utilized in the field of Alzheimer's disease (AD) research in recent years. Advances in …
utilized in the field of Alzheimer's disease (AD) research in recent years. Advances in …