Kernel regression for fMRI pattern prediction (original) (raw)

Kernel methods for fMRI pattern prediction

Yizhao Ni

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008

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Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods

Geoffrey Tan

NeuroImage, 2011

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Bayesian kernel methods for analysis of functional neuroimages

Nikolas P. Galatsanos

IEEE transactions on medical imaging, 2007

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Relevance vector machine learning of functional neuroimages

Ana Lukic

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2004

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Bayesian regression of functional neuroimages

Nikolas P. Galatsanos

2004

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Multiclass Sparse Bayesian Regression for fMRI-Based Prediction

Vincent Michel

International journal of biomedical imaging, 2011

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Generalized Sparse Classifiers for Decoding Cognitive States in fMRI

Ghassan Hamarneh

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A family of interpretable multivariate models for regression and classification of whole-brain fMRI data

Logan Grosenick

2011

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Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

German Castellanos-Dominguez

Frontiers in neuroscience, 2017

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Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis

Vincent Michel

Lecture Notes in Computer Science, 2010

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A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis

K. Blekas, Loukas G Astrakas

IEEE Transactions on Biomedical Engineering, 2000

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Online Kernel SVM for real-time fMRI brain state prediction

Ray Lee

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011

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Total Variation Regularization Enhances Regression-Based Brain Activity Prediction

Vincent Michel, Alexandre Gramfort, Gael Varoquaux

2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, 2010

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Spatially regularized machine learning for task and resting-state fMRI

Lawrence Panych

Journal of Neuroscience Methods, 2016

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Comparison of multivariate classifiers and response normalizations for pattern-information fMRI

Nikolaus Kriegeskorte

Neuroimage, 2010

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Sparse regression analysis of task-relevant information distribution in the brain

Vania Apkarian

SPIE Proceedings, 2012

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Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis

Sennay Ghebreab

Lecture Notes in Computer Science, 2007

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Modeling Spatiotemporal Structure in fMRI Brain Decoding Using Generalized Sparse Classifiers

Bernard Ng

2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

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Predicting brain states from fMRI data: Incremental functional principal component regression

Sennay Ghebreab

2008

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Regression Mixture Modeling for fMRI Data Analysis

K. Blekas

Frontiers of Medical Imaging, 2014

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Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data

Vijay Raghavan

arXiv (Cornell University), 2017

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A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia

Vanessa Gómez-verdejo

NeuroImage, 2014

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Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression

Robert Schultz

Information processing in medical imaging : proceedings of the ... conference, 2003

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Real-time functional MRI Classication of Brain States using Markov-SVM Hybrid Models: Peering inside the rt-fMRI black box

Jennifer Bramen

2016

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Adaptive multi-class Bayesian sparse regression-An application to brain activity classification

Vincent Michel

2009

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