A comparison of denoising pipelines in high temporal resolution task‐based functional magnetic resonance imaging data

Human Brain Mapping ◽

10.1002/hbm.24635 ◽

2019 ◽

Author(s):

Andrew R. Mayer ◽

Josef M. Ling ◽

Andrew B. Dodd ◽

Nicholas A. Shaff ◽

Christopher J. Wertz ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Temporal Resolution ◽

High Temporal Resolution ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Classification of cocaine‐dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data

Journal of Neuroscience Research ◽

10.1002/jnr.24421 ◽

2019 ◽

Vol 97 (7) ◽

pp. 790-803 ◽

Author(s):

Unal Sakoglu ◽

Mutlu Mete ◽

John Esquivel ◽

Katya Rubia ◽

Richard Briggs ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Dynamic Functional Connectivity

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SACICA: A sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2013.03.014 ◽

2013 ◽

Vol 216 (1) ◽

pp. 49-61 ◽

Author(s):

Nizhuan Wang ◽

Weiming Zeng ◽

Lei Chen

Keyword(s):

Magnetic Resonance Imaging ◽

Data Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Sparse Approximation ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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EROICA: Exploring regions of interest with cluster analysis in large functional magnetic resonance imaging data sets

Concepts in Magnetic Resonance ◽

10.1002/cmr.a.10053 ◽

2003 ◽

Vol 16A (1) ◽

pp. 50-62 ◽

Author(s):

M. Jarmasz ◽

R.L. Somorjai

Keyword(s):

Magnetic Resonance Imaging ◽

Cluster Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Regions Of Interest ◽

Data Sets ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Improving the sensitivity of cluster‐based statistics for functional magnetic resonance imaging data

Human Brain Mapping ◽

10.1002/hbm.25399 ◽

2021 ◽

Author(s):

Linda Geerligs ◽

Eric Maris

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Functional Magnetic Resonance Imaging Data Augmentation Through Conditional ICA

10.1007/978-3-030-87196-3_46 ◽

2021 ◽

pp. 491-500

Author(s):

Badr Tajini ◽

Hugo Richard ◽

Bertrand Thirion

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Data Augmentation ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Adaptive denoising technique for robust analysis of functional magnetic resonance imaging data

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2001.1017280 ◽

2005 ◽

Author(s):

B.K. Ouda ◽

B.M. Tawfik ◽

A.-B.M. Youssef ◽

Y.M. Kadah

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Robust Analysis ◽

Adaptive Denoising

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Controversy in statistical analysis of functional magnetic resonance imaging data

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1705513114 ◽

2017 ◽

Vol 114 (17) ◽

pp. E3368-E3369 ◽

Author(s):

Emery N. Brown ◽

Marlene Behrmann

Keyword(s):

Magnetic Resonance Imaging ◽

Statistical Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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A slice-wise latent structure regression method for the analysis of functional magnetic resonance imaging data

Concepts in Magnetic Resonance Part A ◽

10.1002/cmr.a.21270 ◽

2013 ◽

Vol 42 (4) ◽

pp. 130-139 ◽

Author(s):

Ahmad Fayyaz ◽

Safee Ullah Chaudhary ◽

Sung-Ho Kim ◽

Hyunwook Park

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Regression Method ◽

Latent Structure ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries

Independent Component Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-540-74494-8_78 ◽

2007 ◽

pp. 625-632 ◽

Author(s):

Robert Johnson ◽

Jonathan Marchini ◽

Stephen Smith ◽

Christian Beckmann

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Independent Component Analysis ◽

Functional Magnetic Resonance Imaging ◽

Component Analysis ◽

Independent Component ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Generating Nonlinear Models of Functional Connectivity from Functional Magnetic Resonance Imaging Data with Genetic Programming

2019 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2019.8790120 ◽

2019 ◽

Author(s):

James Alexander Hughes ◽

Mark Daley

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Genetic Programming ◽

Nonlinear Models ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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