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A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine

https://doi.org/10.4103/jmss.jmss_2_17
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-0193(1998)6:5/6<364::aid-hbm6>3.0.co;2-topenalex-snapshot
Applications of random field theory to functional connectivity
inferredcites →https://doi.org/10.1002/1522-2594(200102)45:2<323::aid-mrm1041>3.0.co;2-#openalex-snapshot
Detection of neural activity in functional MRI using canonical correlation analysis
inferredcites →https://doi.org/10.1002/hbm.1024openalex-snapshot
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms
inferredcites →https://doi.org/10.1002/hbm.460010207openalex-snapshot
Analysis of functional MRI time‐series
inferredcites →https://doi.org/10.1002/mrm.1910300204openalex-snapshot
Processing strategies for time‐course data sets in functional mri of the human brain
inferredcites →https://doi.org/10.1002/mrm.1910350604openalex-snapshot
Detecting cortical activities from fMRI time‐course data using the music algorithm with forward and backward covariance averaging
inferredcites →https://doi.org/10.1006/nimg.1997.0278openalex-snapshot
Parametric Analysis of fMRI Data Using Linear Systems Methods
inferredcites →https://doi.org/10.1016/j.jneumeth.2008.03.017openalex-snapshot
Nonparametric trend estimation in the presence of fractal noise: Application to fMRI time-series analysis
inferredcites →https://doi.org/10.1016/j.mri.2003.12.003openalex-snapshot
Discussion on the choice of separated components in fMRI data analysis by spatial independent component analysis
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.01.137openalex-snapshot
Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework
inferredcites →https://doi.org/10.1016/s0730-725x(98)00125-8openalex-snapshot
Statistical methods for detecting activated regions in functional MRI of the brain
inferredcites →https://doi.org/10.1016/s0926-6410(02)00137-4openalex-snapshot
Functional magnetic resonance imaging of brain activity in the visual oddball task
inferredcites →https://doi.org/10.1016/s1053-8119(03)00049-1openalex-snapshot
Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex
inferredcites →https://doi.org/10.1109/34.824819openalex-snapshot
Statistical pattern recognition: a review
inferredcites →https://doi.org/10.1109/42.363098openalex-snapshot
Analysis of individual brain activation maps using hierarchical description and multiscale detection
inferredcites →https://doi.org/10.1109/42.700727openalex-snapshot
Statistical analysis of functional MRI data in the wavelet domain
inferredcites →https://doi.org/10.1109/42.746636openalex-snapshot
Spatio-temporal fMRI analysis using Markov random fields
inferredcites →https://doi.org/10.1109/42.759109openalex-snapshot
Activation detection in functional MRI using subspace modeling and maximum likelihood estimation
inferredcites →https://doi.org/10.1109/5.488704openalex-snapshot
A review of wavelets in biomedical applications
inferredcites →https://doi.org/10.1109/5.537105openalex-snapshot
Engineering applications of the self-organizing map
inferredcites →https://doi.org/10.1109/iccsp.2015.7322628openalex-snapshot
Brain FMRI clustering using interaction K-means algorithm with PCA
inferredcites →https://doi.org/10.1109/ijcnn.2006.1716278openalex-snapshot
Spatial SVM for feature selection and fMRI activation detection
inferredcites →https://doi.org/10.1109/ijcnn.2009.5179085openalex-snapshot
Brain fMRI processing and classification based on combination of PCA and SVM
inferredcites →https://doi.org/10.1109/tmi.2003.809583openalex-snapshot
Multiresolution fMRI activation detection using translation invariant wavelet transform and statistical analysis based on resampling
inferredcites →https://doi.org/10.1109/tmi.2008.923987openalex-snapshot
Analysis of fMRI Data Using Improved Self-Organizing Mapping and Spatio-Temporal Metric Hierarchical Clustering
inferredcites →https://doi.org/10.1371/journal.pone.0077089openalex-snapshot
On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data
inferredcites →https://doi.org/10.3389/fnhum.2011.00028openalex-snapshot
Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4798789openalex-extracted
inferred← citeshttps://doi.org/10.1016/j.inffus.2020.01.005openalex-snapshot
Overview and comparative study of dimensionality reduction techniques for high dimensional data
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121797openalex-snapshot
Fast anchor graph optimized projections with principal component analysis and entropy regularization
inferred← citeshttps://doi.org/10.1109/pdgc50313.2020.9315749openalex-snapshot
Correlative Analysis of Denoising Methods in Spectral Images Embedded with Different Noises
inferred← citeshttps://doi.org/10.1111/exsy.12644openalex-snapshot
The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2417990/v1openalex-snapshot
Transformer-based dimensionality reduction
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