Unsupervised learning toward brain imaging data analysis: cigarette craving and resistance related neuronal activations from functional magnetic resonance imaging data analysis

Data Analysis ◽

Magnetic Resonance ◽

Imaging Data ◽

Resonance Imaging ◽

Cigarette Craving ◽

Brain Imaging Data

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 ◽

Cited By ~ 24

Author(s):

Nizhuan Wang ◽

Weiming Zeng ◽

Lei Chen

Keyword(s):

Data Analysis ◽

Magnetic Resonance ◽

Sparse Approximation ◽

Imaging Data ◽

Resonance Imaging ◽

Functional Magnetic Resonance Imaging Data Analysis by Autoregressive Estimator

Applied Magnetic Resonance ◽

10.1007/s00723-012-0371-4 ◽

2012 ◽

Vol 43 (3) ◽

pp. 321-330

Author(s):

Hernán Cervantes ◽

Carlos A. C. Jousseph ◽

Said R. Rabbani

Keyword(s):

Data Analysis ◽

Magnetic Resonance ◽

Imaging Data ◽

Resonance Imaging ◽

Functional Magnetic Resonance Imaging Data Analysis with Information-Theoretic Approaches

Biocomputing ◽

10.1007/978-1-4613-0259-9_9 ◽

2002 ◽

pp. 159-173 ◽

Cited By ~ 1

Author(s):

Qun Zhao ◽

Jose Principe ◽

Jeffery Fitzsimmons ◽

Margaret Bradley ◽

Peter Lang

Keyword(s):

Data Analysis ◽

Magnetic Resonance ◽

Imaging Data ◽

Resonance Imaging ◽

Information Theoretic

Bayesian models for functional magnetic resonance imaging data analysis

Wiley Interdisciplinary Reviews Computational Statistics ◽

10.1002/wics.1339 ◽

2014 ◽

Vol 7 (1) ◽

pp. 21-41 ◽

Cited By ~ 34

Author(s):

Linlin Zhang ◽

Michele Guindani ◽

Marina Vannucci

Keyword(s):

Data Analysis ◽

Magnetic Resonance ◽

Bayesian Models ◽

Imaging Data ◽

Resonance Imaging ◽

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 ◽

Cited By ~ 3

Author(s):

Unal Sakoglu ◽

Mutlu Mete ◽

John Esquivel ◽

Katya Rubia ◽

Richard Briggs ◽

...

Keyword(s):

Magnetic Resonance ◽

Functional Connectivity ◽

Imaging Data ◽

Resonance Imaging ◽

Dynamic Functional Connectivity

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 ◽

Cited By ~ 9

Author(s):

M. Jarmasz ◽

R.L. Somorjai

Keyword(s):

Cluster Analysis ◽

Magnetic Resonance ◽

Regions Of Interest ◽

Data Sets ◽

Imaging Data ◽

Resonance Imaging ◽

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 Data ◽

Resonance Imaging ◽

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 ◽

Data Augmentation ◽

Imaging Data ◽

Resonance Imaging ◽

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

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

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 Data ◽

Resonance Imaging ◽

Robust Analysis ◽

Adaptive Denoising

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 ◽

Cited By ~ 15

Author(s):

Emery N. Brown ◽

Marlene Behrmann

Keyword(s):

Statistical Analysis ◽

Magnetic Resonance ◽

Imaging Data ◽

Resonance Imaging ◽