A novel iterative reconstruction algorithm for emission computed tomography. - Xiao-Liang Xu; Jeih-San Liow; Stephen C. Strother (ICASSP (5), 1993)

Visualization of neural networks using saliency maps. - Niels J. S. Mørch; Ulrik Kjems; Lars Kai Hansen; Claus Svarer; Ian Law; Benny Lautrup; Stephen C. Strother; Kelly Rehm (ICNN, 1995)

Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover. - Niels J. S. Mørch; Lars Kai Hansen; Stephen C. Strother; Claus Svarer; David A. Rottenberg; Benny Lautrup; Robert L. Savoy; Olaf B. Paulson (IPMI, 1997)

A symbolic environment for visualizing activated foci in functional neuroimaging datasets. - Kelly Rehm; Kamakshi Lakshminaryan; Sally Frutiger; Kirt Schaper; De Witt L. Sumners; Stephen C. Strother; Jon R. Anderson; David A. Rottenberg (Medical Image Anal., 1998)

Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. - Ulrik Kjems; Stephen C. Strother; Jon R. Anderson; Ian Law; Lars Kai Hansen (IEEE Trans. Medical Imaging, 1999)

Generalizable Singular Value Decomposition for Ill-posed Datasets. - Ulrik Kjems; Lars Kai Hansen; Stephen C. Strother (NIPS, 2000)

Penalized Discriminant Analysis of [15O]-water PET Brain Images with Prediction Error Selection of Smoothness and Regularization. - Rafal Kustra; Stephen C. Strother (IEEE Trans. Medical Imaging, 2001)

An ICA algorithm for analyzing multiple data sets. - Ana S. Lukic; Lars Kai Hansen; Miles N. Wernick; Stephen C. Strother (ICIP (2), 2002)

A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages. - Ana S. Lukic; Miles N. Wernick; Nikolas P. Galatsanos; Yongyi Yang; Stephen C. Strother (ICIP (3), 2002)

A spatially robust ICA algorithm for multiple fMRI data sets. - Ana S. Lukic; Miles N. Wernick; Lars Kai Hansen; Jon R. Anderson; Stephen C. Strother (ISBI, 2002)

An evaluation of methods for detecting brain activations from functional neuroimages. - Ana S. Lukic; Miles N. Wernick; Stephen C. Strother (Artif. Intell. Medicine, 2002)

The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves. - Ulrik Kjems; Lars Kai Hansen; Jon R. Anderson; Sally Frutiger; Suraj Muley; John J. Sidtis; David A. Rottenberg; Stephen C. Strother (NeuroImage, 2002)

Abnormal Functional Connectivity in Posttraumatic Stress Disorder. - Marnie E. Shaw; Stephen C. Strother; Alexander C. McFarlane; Philip Morris; Jon R. Anderson; C. Richard Clark; Gary F. Egan (NeuroImage, 2002)

The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework. - Stephen C. Strother; Jon R. Anderson; Lars Kai Hansen; Ulrik Kjems; Rafal Kustra; John J. Sidtis; Sally Frutiger; Suraj Muley; Stephen LaConte; David A. Rottenberg (NeuroImage, 2002)

The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics. - Stephen LaConte; Jon R. Anderson; Suraj Muley; James Ashe; Sally Frutiger; Kelly Rehm; Lars Kai Hansen; Essa Yacoub; Xiaoping Hu 001; David A. Rottenberg; Stephen C. Strother (NeuroImage, 2003)

Evaluating subject specific preprocessing choices in multisubject fMRI data sets using data-driven performance metrics. - Marnie E. Shaw; Stephen C. Strother; Maria Gavrilescu; Katherine Podzebenko; Anthony B. Waites; John D. G. Watson; Jon R. Anderson; Graeme D. Jackson; Gary F. Egan (NeuroImage, 2003)

Predicting performance from functional imaging data: methods matter. - John J. Sidtis; Stephen C. Strother; David A. Rottenberg (NeuroImage, 2003)

A developer's commentary on fiswidgets. - Stephen C. Strother (Neuroinformatics, 2003)

Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging Analysis. - Ana S. Lukic; Miles N. Wernick; Yongyi Yang; Nikolas P. Galatsanos; Stephen C. Strother (ISBI, 2004)

The effect of set on the resting state in functional imaging: a role for the striatum? - John J. Sidtis; Stephen C. Strother; David A. Rottenberg (NeuroImage, 2004)

Functional connectivity during Stroop task performance. - Ben J. Harrison; Marnie E. Shaw; Murat Yücel 001; Rosemary Purcell; Warrick J. Brewer; Stephen C. Strother; Gary F. Egan; James S. Olver; Pradeep J. Nathan; Christos Pantelis (NeuroImage, 2005)

Support vector machines for temporal classification of block design fMRI data. - Stephen LaConte; Stephen C. Strother; Vladimir Cherkassky; Jon R. Anderson; Xiaoping Hu 001 (NeuroImage, 2005)

Mapping cerebral blood flow during speech production in hereditary ataxia. - John J. Sidtis; Christopher M. Gomez; Ansam Groshong; Stephen C. Strother; David A. Rottenberg (NeuroImage, 2006)

Bayesian Kernel Methods for Analysis of Functional Neuroimages. - Ana S. Lukic; Miles N. Wernick; Dimitris Tzikas; Xu Chen; Aristidis Likas; Nikolas P. Galatsanos; Yongyi Yang; E. Zhao; Stephen C. Strother (IEEE Trans. Medical Imaging, 2007)

Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages. - Ana S. Lukic; Miles N. Wernick; Yongyi Yang; Lars Kai Hansen; Konstantinos Arfanakis; Stephen C. Strother (IEEE Trans. Medical Imaging, 2007)

Generative versus discriminative training of RBMs for classification of fMRI images. - Tanya Schmah; Geoffrey E. Hinton; Richard S. Zemel; Steven L. Small; Stephen C. Strother (NIPS, 2008)

Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system. - Jing Zhang; Lichen Liang; Jon R. Anderson; Lael C. Gatewood; David A. Rottenberg; Stephen C. Strother (NeuroImage, 2008)

A Java-based fMRI Processing Pipeline Evaluation System for Assessment of Univariate General Linear Model and Multivariate Canonical Variate Analysis-based Pipelines. - Jing Zhang; Lichen Liang; Jon R. Anderson; Lael C. Gatewood; David A. Rottenberg; Stephen C. Strother (Neuroinformatics, 2008)

The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging. - Stephen C. Strother; Anita Oder; Robyn Spring; Cheryl L. Grady (COMPSTAT, 2010)

Comparing Classification Methods for Longitudinal fMRI Studies. - Tanya Schmah; Grigori Yourganov; Richard S. Zemel; Geoffrey E. Hinton; Steven L. Small; Stephen C. Strother (Neural Comput., 2010)

Group specific optimisation of fMRI processing steps for child and adult data. - Jennifer W. Evans; Rebecca M. Todd; Margot J. Taylor; Stephen C. Strother (NeuroImage, 2010)

Machine Learning in Medical Imaging. - Miles N. Wernick; Yongyi Yang; Jovan G. Brankov; Grigori Yourganov; Stephen C. Strother (IEEE Signal Process. Mag., 2010)

Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage. - Robert L. Barry; Stephen C. Strother; J. Christopher Gatenby; John C. Gore (NeuroImage, 2011)

Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data. - Grigori Yourganov; Xu Chen; Ana S. Lukic; Cheryl L. Grady; Steven L. Small; Miles N. Wernick; Stephen C. Strother (NeuroImage, 2011)

Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps. - Peter Mondrup Rasmussen; Tanya Schmah; Kristoffer Hougaard Madsen; Torben Ellegaard Lund; Grigori Yourganov; Stephen C. Strother; Lars Kai Hansen (BIOSIGNALS, 2012)

Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework. - Babak Afshin-Pour; Gholam-Ali Hossein-Zadeh; Stephen C. Strother; Hamid Soltanian-Zadeh (NeuroImage, 2012)

PHYCAA: Data-driven measurement and removal of physiological noise in BOLD fMRI. - Nathan William Churchill; Grigori Yourganov; Robyn Spring; Peter Mondrup Rasmussen; Wayne Lee; Jon E. Ween; Stephen C. Strother (NeuroImage, 2012)

Model sparsity and brain pattern interpretation of classification models in neuroimaging. - Peter Mondrup Rasmussen; Lars Kai Hansen; Kristoffer Hougaard Madsen; Nathan William Churchill; Stephen C. Strother (Pattern Recognit., 2012)

PHYCAA +: An optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI. - Nathan William Churchill; Stephen C. Strother (NeuroImage, 2013)

A hierarchy of cognitive brain networks revealed by multivariate performance metrics. - Stephen C. Strother; Saman Sarraf; Cheryl L. Grady (ACSSC, 2014)

Porting a neuro-imaging application to a CPU-GPU cluster. - Reza Sina Nakhjavani; Sahel Sharify; Ali B. Hashemi; Alan W. Lu; Cristiana Amza; Stephen C. Strother (HPCS, 2014)

Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets. - Babak Afshin-Pour; Cheryl L. Grady; Stephen C. Strother (NeuroImage, 2014)

Pattern classification of fMRI data: Applications for analysis of spatially distributed cortical networks. - Grigori Yourganov; Tanya Schmah; Nathan William Churchill; Marc G. Berman; Cheryl L. Grady; Stephen C. Strother (NeuroImage, 2014)

A Hybrid LDA+gCCA Model for fMRI Data Classification and Visualization. - Babak Afshin-Pour; Seyed-Mohammad Shams; Stephen C. Strother (IEEE Trans. Medical Imaging, 2015)

Novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive power in Alzheimer's disease. - Pradeep Reddy Raamana; Stephen C. Strother (PRNI, 2016)

The Associative Memory Deficit in Aging Is Related to Reduced Selectivity of Brain Activity during Encoding. - Cristina Saverino; Zainab Fatima; Saman Sarraf; Anita Oder; Stephen C. Strother; Cheryl L. Grady (J. Cogn. Neurosci., 2016)

Introduction to the Issue on Advanced Signal Processing for Brain Networks. - Dimitri Van De Ville; Viktor K. Jirsa; Stephen C. Strother; Jonas Richiardi; Andrew Zalesky (IEEE J. Sel. Top. Signal Process., 2016)

The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide. - Ali-Mohammad Golestani; Jonathan B. Kwinta; Stephen C. Strother; Yasha B. Khatamian; J. Jean Chen (NeuroImage, 2016)

The Center for Integrated Molecular Brain Imaging (Cimbi) database. - Gitte Moos Knudsen; Peter S. Jensen; David Erritzoe; William F. C. Baaré; Anders Ettrup; Patrick M. Fisher; Nic Gillings; Hanne D. Hansen; Lars Kai Hansen; Steen Gregers Hasselbalch; Susanne Henningsson; Matthias M. Herth; et al. (NeuroImage, 2016)

Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity. - Pradeep Reddy Raamana; Stephen C. Strother (J. Open Source Softw., 2017)

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience. - Pradeep Reddy Raamana; Stephen C. Strother (J. Open Source Softw., 2017)

Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age. - Nathan William Churchill; Pradeep Reddy Raamana; Robyn Spring; Stephen C. Strother (NeuroImage, 2017)

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. - Krzysztof J. Gorgolewski; Fidel Alfaro-Almagro; Tibor Auer; Pierre Bellec; Mihai Capota; M. Mallar Chakravarty; Nathan William Churchill; Alexander Li Cohen; R. Cameron Craddock; Gabriel A. Devenyi; Anders Eklund 002; Oscar Esteban; et al. (PLoS Comput. Biol., 2017)

The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data. - Martin Nørgaard; Douglas N. Greve; Claus Svarer; Stephen C. Strother; Gitte Moos Knudsen; Melanie Ganz (PRNI, 2018)

The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation. - David J. Rotenberg; Qing Chang; Natalia Potapova; Andy Wang; Marcia Hon; Marcos Sanches; Nikola Bogetic; Nathan Frias; Tommy Liu; Brendan Behan; Rachad El-Badrawi; Stephen C. Strother; et al. (Frontiers Neuroinformatics, 2018)

Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data. - Anthony L. Vaccarino; Moyez Dharsee; Stephen C. Strother; Don Aldridge; Stephen R. Arnott; Brendan Behan; Costas Dafnas; Fan Dong; Kenneth Edgecombe; Rachad El-Badrawi; Khaled El Emam; Tom Gee; et al. (Frontiers Neuroinformatics, 2018)

mrivis: Medical image visualization library for neuroscience in python. - Pradeep Reddy Raamana; Stephen C. Strother (J. Open Source Softw., 2018)

graynet: single-subject morphometric networks for neuroscience connectivity applications. - Pradeep Reddy Raamana; Stephen C. Strother (J. Open Source Softw., 2018)

Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging. - Martin Nørgaard; Brice Ozenne; Claus Svarer; Vibe G. Frokjaer; Martin Schain; Stephen C. Strother; Melanie Ganz (MICCAI (4), 2019)

Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [11C]DASB PET study. - Martin Nørgaard; Melanie Ganz; Claus Svarer; Vibe G. Frokjaer; Douglas N. Greve; Stephen C. Strother; Gitte Moos Knudsen (NeuroImage, 2019)

The structure of the serotonin system: A PET imaging study. - Vincent Beliveau; Brice Ozenne; Stephen C. Strother; Douglas N. Greve; Claus Svarer; Gitte Moos Knudsen; Melanie Ganz (NeuroImage, 2020)

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach. - Shuai Liang; Derek Beaton; Stephen R. Arnott; Tom Gee; Mojdeh Zamyadi; Robert Bartha; Sean Symons; Glenda M. MacQueen; Stefanie Hassel; Jason P. Lerch; Evdokia Anagnostou; Raymond W. Lam; et al. (Frontiers Neuroinformatics, 2021)

Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study. - Aras Kayvanrad; Stephen R. Arnott; Nathan William Churchill; Stefanie Hassel; Aditi Chemparathy; Fan Dong; Mojdeh Zamyadi; Tom Gee; Robert Bartha; Sandra E. Black; Jane M. Lawrence-Dewar; Christopher J. M. Scott; et al. (NeuroImage, 2021)

Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs. - Emmanuel E. Ntiri; Melissa F. Holmes; Parisa Mojiri Forooshani; Joel Ramirez; Fuqiang Gao; Miracle Ozzoude; Sabrina Adamo; Christopher J. M. Scott; Dar Dowlatshahi; Jane M. Lawrence-Dewar; Donna Kwan; Anthony E. Lang; et al. (Neuroinformatics, 2021)

Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. - Seyyed M. H. Haddad; Christopher J. M. Scott; Miracle Ozzoude; Courtney Berezuk; Melissa Holmes; Sabrina Adamo; Joel Ramirez; Stephen R. Arnott; Nuwan D. Nanayakkara; Malcolm A. Binns; Derek Beaton; Wendy Lou; et al. (Int. J. Biomed. Imaging, 2022)

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. - Mathew Birdsall Abrams; Jan G. Bjaalie; Samir Das; Gary F. Egan; Satrajit S. Ghosh; Wojtek James Goscinski; Jeffrey S. Grethe; Jeanette Hellgren Kotaleski; Eric Tatt Wei Ho; David N. Kennedy; Linda J. Lanyon; Trygve B. Leergaard; et al. (Neuroinformatics, 2022)

Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. - Mathew Birdsall Abrams; Jan G. Bjaalie; Samir Das; Gary F. Egan; Satrajit S. Ghosh; Wojtek James Goscinski; Jeffrey S. Grethe; Jeanette Hellgren Kotaleski; Eric Tatt Wei Ho; David N. Kennedy; Linda J. Lanyon; Trygve B. Leergaard; et al. (Neuroinformatics, 2022)

Interpretability, Reproducibility, and Replicability [From the Guest Editors]. - Tülay Adali; Rodrigo Capobianco Guido; Tin Kam Ho; Klaus-Robert Müller; Stephen C. Strother (IEEE Signal Process. Mag., 2022)

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness. - Tülay Adali; Furkan Kantar; Mohammad Abu Baker Siddique Akhonda; Stephen C. Strother; Vince D. Calhoun; Evrim Acar (IEEE Signal Process. Mag., 2022)

The Canadian Open Neuroscience Platform - An open science framework for the neuroscience community. - Rachel J. Harding; Patrick Bermudez; Alexander Bernier; Michael J. S. Beauvais; Pierre Bellec; Sean L. Hill; Agah Karakuzu; Bartha M. Knoppers; Paul Pavlidis; Jean-Baptiste Poline; Jane Roskams; Nikola Stikov; et al. (PLoS Comput. Biol., 2023)

FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research. - Brendan Behan; Francis Jeanson; Heena Cheema; Derek Eng; Fatema Khimji; Anthony L. Vaccarino; Tom Gee; Susan G. Evans; F. Chris MacPhee; Fan Dong; Shahab Shahnazari; Alana Sparks; et al. (Frontiers Neuroinformatics, 2023)

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. - Lyndon Boone; Mahdi Biparva; Parisa Mojiri Forooshani; Joel Ramirez; Mario Masellis; Robert Bartha; Sean Symons; Stephen C. Strother; Sandra E. Black; Chris Heyn; Anne L. Martel; Richard H. Swartz; et al. (NeuroImage, 2023)