Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning
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Title
Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning
Authors
Keywords
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Journal
International Journal of Neural Systems
Volume 28, Issue 02, Pages 1750036
Publisher
World Scientific Pub Co Pte Lt
Online
2017-07-17
DOI
10.1142/s0129065717500368
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- SINGULAR SPECTRUM ANALYSIS AND ADAPTIVE FILTERING ENHANCE THE FUNCTIONAL CONNECTIVITY ANALYSIS OF RESTING STATE fMRI DATA
- (2013) PAOLO PIAGGI et al. International Journal of Neural Systems
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- (2013) Aditya Vedantam et al. NEUROSURGERY
- Is Diffusion Anisotropy a Biomarker for Disease Severity and Surgical Prognosis of Cervical Spondylotic Myelopathy?
- (2013) Chun Yi Wen et al. RADIOLOGY
- A hitchhiker's guide to diffusion tensor imaging
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- (2012) Irene Kotsia et al. PATTERN RECOGNITION
- Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment
- (2012) Laurence O'Dwyer et al. PLoS One
- Assessment of Cervical Spondylotic Myelopathy Using Diffusion Tensor Magnetic Resonance Imaging Parameter at 3.0 Tesla
- (2012) Takehiro Uda et al. SPINE
- RANKING-BASED KERNELS IN APPLIED BIOMEDICAL DIAGNOSTICS USING A SUPPORT VECTOR MACHINE
- (2011) VILEN JUMUTC et al. International Journal of Neural Systems
- Probabilistic neural networks for diagnosis of Alzheimer's disease using conventional and wavelet coherence
- (2011) Ziad Sankari et al. JOURNAL OF NEUROSCIENCE METHODS
- Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord
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- 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
- Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord
- (2010) Jiao-Long Cui et al. NEUROIMAGE
- Diffusion-Weighted Imaging, Diffusion-Tensor Imaging, and Fiber Tractography of the Spinal Cord
- (2009) Majda M. Thurnher et al. Magnetic Resonance Imaging Clinics of North America
- A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
- (2009) Samanwoy Ghosh-Dastidar et al. NEURAL NETWORKS
- Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI
- (2008) Benoît Magnin et al. NEURORADIOLOGY
- A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease
- (2008) Hojjat Adeli et al. NEUROSCIENCE LETTERS
- Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
- (2006) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
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