Stephen C. Strother

According to our database1, Stephen C. Strother authored at least 45 papers between 1997 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
graynet: single-subject morphometric networks for neuroscience connectivity applications.
J. Open Source Software, 2018

mrivis: Medical image visualization library for neuroscience in python.
J. Open Source Software, 2018

Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data.
Front. Neuroinform., 2018

The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2017
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
PLoS Computational Biology, 2017

Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age.
NeuroImage, 2017

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience.
J. Open Source Software, 2017

Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity.
J. Open Source Software, 2017

2016
The Center for Integrated Molecular Brain Imaging (Cimbi) database.
NeuroImage, 2016

The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide.
NeuroImage, 2016

Introduction to the Issue on Advanced Signal Processing for Brain Networks.
J. Sel. Topics Signal Processing, 2016

The Associative Memory Deficit in Aging Is Related to Reduced Selectivity of Brain Activity during Encoding.
J. Cognitive Neuroscience, 2016

Novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive power in Alzheimer's disease.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015
A Hybrid LDA+gCCA Model for fMRI Data Classification and Visualization.
IEEE Trans. Med. Imaging, 2015

2014
Pattern classification of fMRI data: Applications for analysis of spatially distributed cortical networks.
NeuroImage, 2014

Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets.
NeuroImage, 2014

Porting a neuro-imaging application to a CPU-GPU cluster.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

A hierarchy of cognitive brain networks revealed by multivariate performance metrics.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
PHYCAA +: An optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI.
NeuroImage, 2013

2012
Model sparsity and brain pattern interpretation of classification models in neuroimaging.
Pattern Recognition, 2012

PHYCAA: Data-driven measurement and removal of physiological noise in BOLD fMRI.
NeuroImage, 2012

Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework.
NeuroImage, 2012

Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data.
NeuroImage, 2011

Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage.
NeuroImage, 2011

2010
Machine Learning in Medical Imaging.
IEEE Signal Process. Mag., 2010

Group specific optimisation of fMRI processing steps for child and adult data.
NeuroImage, 2010

Comparing Classification Methods for Longitudinal fMRI Studies.
Neural Computation, 2010

2008
A Java-based fMRI Processing Pipeline Evaluation System for Assessment of Univariate General Linear Model and Multivariate Canonical Variate Analysis-based Pipelines.
Neuroinformatics, 2008

Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system.
NeuroImage, 2008

Generative versus discriminative training of RBMs for classification of fMRI images.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages.
IEEE Trans. Med. Imaging, 2007

Bayesian Kernel Methods for Analysis of Functional Neuroimages.
IEEE Trans. Med. Imaging, 2007

2006
Mapping cerebral blood flow during speech production in hereditary ataxia.
NeuroImage, 2006

2004
Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging Analysis.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
A developer's commentary on fiswidgets.
Neuroinformatics, 2003

2002
An evaluation of methods for detecting brain activations from functional neuroimages.
Artificial Intelligence in Medicine, 2002

A spatially robust ICA algorithm for multiple fMRI data sets.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages.
Proceedings of the 2002 International Conference on Image Processing, 2002

An ICA algorithm for analyzing multiple data sets.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization.
IEEE Trans. Med. Imaging, 2001

2000
Generalizable Singular Value Decomposition for Ill-posed Datasets.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm.
IEEE Trans. Med. Imaging, 1999

1998
A symbolic environment for visualizing activated foci in functional neuroimaging datasets.
Medical Image Analysis, 1998

1997
Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover.
Proceedings of the Information Processing in Medical Imaging, 1997


  Loading...