Nose-to-brain drug delivery: An update on clinical challenges and progress towards approval of anti-Alzheimer drugs

M Agrawal, S Saraf, S Saraf, SG Antimisiaris… - Journal of controlled …, 2018 - Elsevier
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 …

Brain atrophy in Alzheimer's disease and aging

L Pini, M Pievani, M Bocchetta, D Altomare… - Ageing research …, 2016 - Elsevier
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 …

Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks

J Islam, Y Zhang - Brain informatics, 2018 - Springer
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 …

Landmark-based deep multi-instance learning for brain disease diagnosis

M Liu, J Zhang, E Adeli, D Shen - Medical image analysis, 2018 - Elsevier
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 …

Joint classification and regression via deep multi-task multi-channel learning for Alzheimer's disease diagnosis

M Liu, J Zhang, E Adeli, D Shen - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

G Lombardi, G Crescioli, E Cavedo… - Cochrane Database …, 2020 - cochranelibrary.com
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion

T Tong, K Gray, Q Gao, L Chen, D Rueckert… - Pattern recognition, 2017 - Elsevier
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 …

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 …

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) …

Multivariate data analysis and machine learning in Alzheimer's disease with a focus on structural magnetic resonance imaging

F Falahati, E Westman… - Journal of Alzheimer's …, 2014 - journals.sagepub.com
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 …