Support vector machine learning-based fMRI data group analysis

The Nature of Statistical Learning Theory

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Statistical parametric maps in functional imaging: A general linear approach

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Nonparametric permutation tests for functional neuroimaging: A primer with examples

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Basic principles of ROC analysis

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Advances in kernel methods: support vector learning

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Numerical Recipes in C: The Art of Scientific Computing.

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Making large scale SVM learning practical

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Analysis of fMRI Time-Series Revisited

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Region of interest analysis using an SPM toolbox

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Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets

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Numerical recipes in C++: The art of scientific computing

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Processing strategies for time‐course data sets in functional mri of the human brain

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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

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Human Brain Function

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Analysis of functional MRI time‐series

1994 • 1,709 citations

The Nature of Statistical Learning Theory

1996 • 1,677 citations

Perfusion imaging

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The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction

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The Variability of Human, BOLD Hemodynamic Responses

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Spatial Pattern Analysis of Functional Brain Images Using Partial Least Squares

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Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex

2003 • 1,072 citations

Brain Mapping: The Methods

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Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data

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Learning to Decode Cognitive States from Brain Images

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Characterizing Dynamic Brain Responses with fMRI: A Multivariate Approach

1995 • 575 citations

Repeated measures in clinical trials: Analysis using mean summary statistics and its implications for design

1992 • 561 citations

Independent component analysis of fMRI data: Examining the assumptions

1998 • 493 citations

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

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To Smooth or Not to Smooth?

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Random Effects Analysis

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Experimental Design and the Relative Sensitivity of BOLD and Perfusion fMRI

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Support vector machines for temporal classification of block design fMRI data

2005 • 380 citations

Amplitude-modulated Continuous Arterial Spin-labeling 3.0-T Perfusion MR Imaging with a Single Coil: Feasibility Study

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Characterizing the Response of PET and fMRI Data Using Multivariate Linear Models

1997 • 273 citations

The Relationship between Variable Selection and Data Agumentation and a Method for Prediction

1974 • 240 citations

Functional Magnetic Resonance Image Analysis of a Large-Scale Neurocognitive Network

1996 • 154 citations

A Study of Analysis Parameters That Influence the Sensitivity of Event-Related fMRI Analyses

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The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data

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Perfusion fMRI for Functional Neuroimaging

2005 • 67 citations

To smooth or not to smooth? ROC analysis of perfusion fMRI data

2005 • 60 citations

Potential and Pitfalls of Arterial Spin Labeling Based Perfusion Imaging Techniques for MRI

2000 • 40 citations

Training fMRI classifiers to discriminate cognitive states across multiple subjects

2003 • 32 citations

An improved sequential method for principal component analysis

2003 • 14 citations

Strategies for reducing large fMRI data sets for independent component analysis

2006 • 12 citations

Introduction to functional magnetic resonance imaging

2002 • 12 citations

CRLS-PCA Based Independent Component Analysis for fMRI Study

2005 • 2 citations

Deleted Work

1955 • 0 citations