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On the use of correlation as a measure of network connectivity

NeuroImage (Orlando, Fla.), 2012-05, Vol.60 (4), p.2096-2106

2012

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A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

NeuroImage (Orlando, Fla.), 2014-10, Vol.100, p.91-105

2014

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Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

NeuroImage (Orlando, Fla.), 2013-12, Vol.83, p.937-950

2013

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Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research

NeuroImage (Orlando, Fla.), 2020-01, Vol.204, p.116211-116211, Article 116211

2020

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Spatial and Temporal Organization of the Individual Human Cerebellum

Neuron (Cambridge, Mass.), 2018-11, Vol.100 (4), p.977-993.e7

2018

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A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology

NeuroImage (Orlando, Fla.), 2022-02, Vol.247, p.118809-118809, Article 118809

Cohen, Michael X

2022

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Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals

Neuron (Cambridge, Mass.), 2020-02, Vol.105 (4), p.742-758.e6

2020

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Group information guided ICA for fMRI data analysis

NeuroImage (Orlando, Fla.), 2013-04, Vol.69, p.157-197

2013

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Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition

NeuroImage (Orlando, Fla.), 2018-07, Vol.175, p.176-187

2018

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Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

NeuroImage (Orlando, Fla.), 2012-03, Vol.60 (1), p.59-70

2012

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Multivariate models of inter-subject anatomical variability

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (2), p.422-439

2011

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Kernel regression for fMRI pattern prediction

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (2), p.662-673

2011

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A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods

NeuroImage (Orlando, Fla.), 2018-09, Vol.178, p.753-768

2018

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On time delay estimation and sampling error in resting-state fMRI

NeuroImage (Orlando, Fla.), 2019-07, Vol.194, p.211-227

2019

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Multi-center machine learning in imaging psychiatry: A meta-model approach

NeuroImage (Orlando, Fla.), 2017-07, Vol.155, p.10-24

2017

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Sensor array design of optically pumped magnetometers for accurately estimating source currents

NeuroImage (Orlando, Fla.), 2023-08, Vol.277, p.120257-120257, Article 120257

2023

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Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes

NeuroImage (Orlando, Fla.), 2010-02, Vol.49 (3), p.2178-2189

2010

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Quantification of anisotropy and orientation in 3D electron microscopy and diffusion tensor imaging in injured rat brain

NeuroImage (Orlando, Fla.), 2018-05, Vol.172, p.404-414

2018

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Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

NeuroImage (Orlando, Fla.), 2020-04, Vol.209, p.116449-116449, Article 116449

2020

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Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

NeuroImage (Orlando, Fla.), 2011-06, Vol.56 (4), p.2109-2128

2011

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Structurally-informed Bayesian functional connectivity analysis

NeuroImage (Orlando, Fla.), 2014-02, Vol.86, p.294-305

2014

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A joint network optimization framework to predict clinical severity from resting state functional MRI data

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116314-116314, Article 116314

2020

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

NeuroImage (Orlando, Fla.), 2011-09, Vol.58 (2), p.560-571

2011

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Multivariate network analysis of fiber tract integrity in Alzheimer’s disease

NeuroImage (Orlando, Fla.), 2007-02, Vol.34 (3), p.985-995

2007

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Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)

NeuroImage (Orlando, Fla.), 2009-02, Vol.44 (3), p.679-691

2009

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On the use of correlation as a measure of network connectivity

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research

Spatial and Temporal Organization of the Individual Human Cerebellum

A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology

Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals

Group information guided ICA for fMRI data analysis

Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition

Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

Multivariate models of inter-subject anatomical variability

Kernel regression for fMRI pattern prediction

A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods

On time delay estimation and sampling error in resting-state fMRI

Multi-center machine learning in imaging psychiatry: A meta-model approach

Sensor array design of optically pumped magnetometers for accurately estimating source currents

Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes

Quantification of anisotropy and orientation in 3D electron microscopy and diffusion tensor imaging in injured rat brain

Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Structurally-informed Bayesian functional connectivity analysis

A joint network optimization framework to predict clinical severity from resting state functional MRI data

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

Multivariate network analysis of fiber tract integrity in Alzheimer’s disease

Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)

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