Satoru Hayasaka

According to our database, Satoru Hayasaka authored at least 21 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Towards Data Science Design Patterns.

Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2017

Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise Thresholding.

Satoru Hayasaka

Brain Connect., 2017

2014

Functional Brain Networks Formed Using Cross-Sample Entropy Are Scale Free.

Walter S. Pritchard, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka

Brain Connect., 2014

Age-Related Differences in Advantageous Decision Making Are Associated with Distinct Differences in Functional Community Structure.

Malaak Nasser Moussa, Michael J. Wesley, Linda J. Porrino, Satoru Hayasaka, Antoine Bechara, Jonathan H. Burdette, Paul J. Laurienti

Brain Connect., 2014

2013

The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack.

Karen E. Joyce, Satoru Hayasaka, Paul J. Laurienti

PLoS Comput. Biol., 2013

A permutation testing framework to compare groups of brain networks.

Sean L. Simpson, Robert G. Lyday, Satoru Hayasaka, Anthony P. Marsh, Paul J. Laurienti

Frontiers Comput. Neurosci., 2013

2012

Complexity in a brain-inspired agent-based model.

Karen E. Joyce, Paul J. Laurienti, Satoru Hayasaka

Neural Networks, 2012

Development of PowerMap: a Software Package for Statistical Power Calculation in Neuroimaging Studies.

Karen E. Joyce, Satoru Hayasaka

Neuroinformatics, 2012

2011

Book review.

Satoru Hayasaka

Neural Networks, 2011

Assessing the consistency of community structure in complex networks

Matthew Steen, Satoru Hayasaka, Karen E. Joyce, Paul J. Laurienti

CoRR, 2011

The Brain as a Complex System: Using Network Science as a Tool for Understanding the Brain.

Qawi K. Telesford, Sean L. Simpson, Jonathan H. Burdette, Satoru Hayasaka, Paul J. Laurienti

Brain Connect., 2011

The Ubiquity of Small-World Networks.

Qawi K. Telesford, Karen E. Joyce, Satoru Hayasaka, Jonathan H. Burdette, Paul J. Laurienti

Brain Connect., 2011

2010

Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data.

Satoru Hayasaka, Paul J. Laurienti

NeuroImage, 2010

Applying capacity analyses to psychophysical evaluation of multisensory interactions.

Christina E. Hugenschmidt, Satoru Hayasaka, Ann M. Peiffer, Paul J. Laurienti

Inf. Fusion, 2010

Reproducibility of Graph Metrics in fMRI Networks.

Qawi K. Telesford, Ashley R. Morgan, Satoru Hayasaka, Sean L. Simpson, William Barret, Robert A. Kraft, Jennifer L. Mozolic, Paul J. Laurienti

Frontiers Neuroinformatics, 2010

2007

Power and sample size calculation for neuroimaging studies by non-central random field theory.

Satoru Hayasaka, Ann M. Peiffer, Christina E. Hugenschmidt, Paul J. Laurienti

NeuroImage, 2007

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.

Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian

NeuroImage, 2007

2006

A non-parametric approach for co-analysis of multi-modal brain imaging data: Application to Alzheimer's disease.

Satoru Hayasaka, Antao Du, Audrey Duarte, John Kornak, Geon-Ho Jahng, Michael W. Weiner, Norbert Schuff

NeuroImage, 2006

2004

Nonstationary cluster-size inference with random field and permutation methods.

Satoru Hayasaka, K. Luan Phan, Israel Liberzon, Keith J. Worsley, Thomas E. Nichols

NeuroImage, 2004

Combining voxel intensity and cluster extent with permutation test framework.

Satoru Hayasaka, Thomas E. Nichols

NeuroImage, 2004

2003

Validating cluster size inference: random field and permutation methods.

Satoru Hayasaka, Thomas E. Nichols

NeuroImage, 2003