Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
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Title
Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
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Journal
Processes
Volume 8, Issue 9, Pages 1071
Publisher
MDPI AG
Online
2020-09-02
DOI
10.3390/pr8091071
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Note: Only part of the references are listed.- Fractional Anisotropy changes in Parahippocampal Cingulum due to Alzheimer’s Disease
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- (2020) Xuejiao Dou et al. CORTEX
- Alzheimer’s disease diagnosis from diffusion tensor images using convolutional neural networks
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- (2018) Anas Arab et al. BRAIN RESEARCH BULLETIN
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- (2018) Giulia Liberati et al. JOURNAL OF ALZHEIMERS DISEASE
- Diffusion Tensor Imaging Surpasses Cerebrospinal Fluid as Predictor of Cognitive Decline and Medial Temporal Lobe Atrophy in Subjective Cognitive Impairment and Mild Cognitive Impairment
- (2018) Per Selnes et al. JOURNAL OF ALZHEIMERS DISEASE
- Potential biomarkers for distinguishing people with Alzheimer’s disease from cognitively intact elderly based on the rich-club hierarchical structure of white matter networks
- (2018) Suping Cai et al. NEUROSCIENCE RESEARCH
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- (2017) Choong-Wan Woo et al. NATURE NEUROSCIENCE
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- (2017) Tijn M. Schouten et al. NEUROIMAGE
- Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
- (2017) Sandra Vieira et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- DTI measurements for Alzheimer’s classification
- (2017) Tommaso Maggipinto et al. PHYSICS IN MEDICINE AND BIOLOGY
- Automated detection of pathologic white matter alterations in Alzheimer's disease using combined diffusivity and kurtosis method
- (2017) Yuanyuan Chen et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images
- (2017) Ashkan Ebadi et al. Frontiers in Neuroscience
- Combined Volumetry and DTI in Subcortical Structures of Mild Cognitive Impairment and Alzheimer's Disease Patients
- (2017) Andrea Cherubini et al. JOURNAL OF ALZHEIMERS DISEASE
- Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications
- (2016) Stefan Teipel et al. JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
- Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer's disease
- (2016) Xiaoying Tang et al. MAGNETIC RESONANCE IMAGING
- Diffusion tensor tractography imaging in pediatric epilepsy – A systematic review
- (2016) Marta Szmuda et al. Neurologia i Neurochirurgia Polska
- Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM
- (2015) Martin Dyrba et al. HUMAN BRAIN MAPPING
- Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease
- (2015) Talia M. Nir et al. NEUROBIOLOGY OF AGING
- Brain connectivity and novel network measures for Alzheimer's disease classification
- (2015) Gautam Prasad et al. NEUROBIOLOGY OF AGING
- Diffusion imaging changes in grey matter in Alzheimer’s disease: a potential marker of early neurodegeneration
- (2015) Philip S.J. Weston et al. Alzheimers Research & Therapy
- Integrating Retrogenesis Theory to Alzheimer’s Disease Pathology: Insight from DTI-TBSS Investigation of the White Matter Microstructural Integrity
- (2015) Gilberto Sousa Alves et al. Biomed Research International
- Analysis of sub-anatomic diffusion tensor imaging indices in white matter regions of Alzheimer with MMSE score
- (2014) Ravindra B. Patil et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Discriminative analysis of multivariate features from structural MRI and diffusion tensor images
- (2014) Muwei Li et al. MAGNETIC RESONANCE IMAGING
- The global prevalence of dementia: A systematic review and metaanalysis
- (2013) Martin Prince et al. Alzheimers & Dementia
- Classification tools in chemistry. Part 1: linear models. PLS-DA
- (2013) Davide Ballabio et al. Analytical Methods
- Robust Automated Detection of Microstructural White Matter Degeneration in Alzheimer’s Disease Using Machine Learning Classification of Multicenter DTI Data
- (2013) Martin Dyrba et al. PLoS One
- A toolbox for real-time subject-independent and subject-dependent classification of brain states from fMRI signals
- (2013) Mohit Rana et al. Frontiers in Neuroscience
- White matter connectivity in children with autism spectrum disorders: a tract-based spatial statistics study
- (2012) Lucia Billeci et al. BMC Neurology
- Prediction of Alzheimer's disease using individual structural connectivity networks
- (2012) Junming Shao et al. NEUROBIOLOGY OF AGING
- Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
- (2011) Carlton Chu et al. NEUROIMAGE
- Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson's correlation
- (2011) M. Graña et al. NEUROSCIENCE LETTERS
- Multicenter stability of diffusion tensor imaging measures: A European clinical and physical phantom study
- (2011) Stefan J. Teipel et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- The clinical use of structural MRI in Alzheimer disease
- (2010) Giovanni B. Frisoni et al. Nature Reviews Neurology
- The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration
- (2009) Alessandro Liberati et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Posterior cingulate cortex atrophy and regional cingulum disruption in mild cognitive impairment and Alzheimer's disease
- (2008) IL Han Choo et al. NEUROBIOLOGY OF AGING
- Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
- (2008) Jurgen Fripp et al. NEUROIMAGE
- Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆
- (2008) C MISRA et al. NEUROIMAGE
- Mapping the Structural Core of Human Cerebral Cortex
- (2008) Patric Hagmann et al. PLOS BIOLOGY
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