A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Alzheimer's disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion
Alzheimer's disease (AD) will become a global burden in the coming decades according to
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2017 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …
development and standardization of methodologies for biomarkers and has provided an …
Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature …
We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …
Therapeutic evolution of benzimidazole derivatives in the last quinquennial period
Benzimidazole, a fused heterocycle bearing benzene and imidazole has gained
considerable attention in the field of contemporary medicinal chemistry. The moiety is of …
considerable attention in the field of contemporary medicinal chemistry. The moiety is of …
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
A large number of papers have introduced novel machine learning and feature extraction
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …
[HTML][HTML] Structural neuroimaging as clinical predictor: A review of machine learning applications
In this paper, we provide an extensive overview of machine learning techniques applied to
structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We …
structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Diagnosis of Alzheimer's disease based on structural MRI images using a regularized extreme learning machine and PCA features
RK Lama, J Gwak, JS Park… - Journal of healthcare …, 2017 - Wiley Online Library
Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that attacks
neurotransmitters, brain cells, and nerves, affecting brain functions, memory, and behaviors …
neurotransmitters, brain cells, and nerves, affecting brain functions, memory, and behaviors …