Stephen C. Strother

Author Info

Name	Affiliation	Papers
STEPHEN C. STROTHER	Rotman Research Institute of Baycrest Centre, Toronto, Canada and Department of Medical Biophysics, University of Toronto, Canada	52
Collaborators	Citations	PageRank
207	399	56.31
Referers	Referees	References
1089	1096	457

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Publications (52 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Interpretability, Reproducibility, and Replicability [From the Guest Editors]	1	0.43	2022
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness	0	0.34	2022
The structure of the serotonin system: A PET imaging study.	1	0.43	2020
Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [ 11 C]DASB PET study.	1	0.43	2019
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.	1	0.35	2019
Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging	0	0.34	2019
The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation.	0	0.34	2018
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data.	3	0.40	2018
graynet: single-subject morphometric networks for neuroscience connectivity applications.	0	0.34	2018
mrivis: Medical image visualization library for neuroscience in python.	0	0.34	2018
The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data	0	0.34	2018
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.	13	0.91	2017
Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity.	0	0.34	2017
Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience.	1	0.48	2017
Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age.	1	0.35	2017
The Associative Memory Deficit in Aging Is Related to Reduced Selectivity of Brain Activity during Encoding.	1	0.37	2016
Introduction to the Issue on Advanced Signal Processing for Brain Networks.	0	0.34	2016
The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide.	5	0.44	2016
A Hybrid LDA+gCCA Model for fMRI Data Classification and Visualization.	0	0.34	2015
Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets.	4	0.50	2014
Porting a neuro-imaging application to a CPU-GPU cluster	0	0.34	2014
Pattern classification of fMRI data: Applications for analysis of spatially distributed cortical networks.	7	0.64	2014
Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps.	2	0.50	2012
Model sparsity and brain pattern interpretation of classification models in neuroimaging	48	1.61	2012
Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework.	9	0.50	2012
PHYCAA: Data-driven measurement and removal of physiological noise in BOLD fMRI.	11	0.54	2012
Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data.	20	1.17	2011
Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage.	5	0.70	2011
The Npairs Computational Statistics Framework For Data Analysis In Neuroimaging	14	0.68	2010
Comparing classification methods for longitudinal fMRI studies.	12	0.74	2010
Group specific optimisation of fMRI processing steps for child and adult data.	8	0.59	2010
Machine Learning in Medical Imaging	23	1.21	2010
Generative versus discriminative training of RBMs for classification of fMRI images	25	1.75	2008
A Java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines.	4	0.47	2008
Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system.	2	0.53	2008
Bayesian Kernel Methods for Analysis of Functional Neuroimages.	5	0.50	2007
Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages	1	0.37	2007
Mapping cerebral blood flow during speech production in hereditary ataxia.	5	0.79	2006
Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging Analysis	0	0.34	2004
The effect of set on the resting state in functional imaging: a role for the striatum?	4	0.71	2004
Predicting performance from functional imaging data: methods matter.	8	1.75	2003
A developer's commentary on fiswidgets.	0	0.34	2003
An evaluation of methods for detecting brain activations from functional neuroimages	19	2.05	2002
The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework.	96	17.31	2002
Abnormal Functional Connectivity in Posttraumatic Stress Disorder	3	1.11	2002
A spatially robust ICA algorithm for multiple fMRI data sets	0	0.34	2002
An ICA algorithm for analyzing multiple data sets	2	0.71	2002
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages	2	0.46	2002
Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization	0	0.34	2001
Enhancing The Multivariate Signal Of [O-15] Water Pet Studies With A New Nonlinear Neuroanatomical Registration Algorithm	6	2.16	1999

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