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Stephen Strother

Showing results (1-10 of 38) with videos related to

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Journal of Neuroscience Methods|February 28, 2015
Comparison of BCG artifact removal methods for evoked responses in simultaneous EEG-fMRINasim Shams, Claude Alain, Stephen Strother
Neuroimage|November 9, 2013
Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data setsBabak Afshin-Pour, Cheryl Grady, Stephen Strother
IEEE Transactions on Medical Imaging|December 2, 2014
A Hybrid LDA+gCCA Model for fMRI Data Classification and VisualizationBabak Afshin-Pour, Seyed-Mohammad Shams, Stephen Strother
Plos One|March 27, 2015
How many separable sources? Model selection in independent components analysisRoger P Woods, Lars Kai Hansen, Stephen Strother
Neuroimage|May 24, 2005
Support vector machines for temporal classification of block design fMRI dataStephen LaConte, Stephen Strother, Vladimir Cherkassky, et al.
Human Brain Mapping|March 28, 2006
Exploring predictive and reproducible modeling with the single-subject FIAC datasetXu Chen, Francisco Pereira, Wayne Lee, et al.
Biological Psychiatry|August 23, 2008
Optimizing the design and analysis of clinical functional magnetic resonance imaging research studiesCameron S Carter, Stephan Heckers, Thomas Nichols, et al.
Magnetic Resonance Imaging|October 22, 2017
A novel DTI-QA tool: Automated metric extraction exploiting the sphericity of an agar filled phantomSofia Chavez, Joseph Viviano, Mojdeh Zamyadi, et al.
Neuroimage|October 11, 2019
The structure of the serotonin system: A PET imaging studyVincent Beliveau, Brice Ozenne, Stephen Strother, et al.
IEEE Signal Processing Magazine|November 7, 2022
Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and UniquenessTülay Adali, Furkan Kantar, M A B Siddique Akhonda, et al.
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Journal of Neuroscience Methods|February 28, 2015
Comparison of BCG artifact removal methods for evoked responses in simultaneous EEG-fMRINasim Shams, Claude Alain, Stephen Strother
Neuroimage|November 9, 2013
Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data setsBabak Afshin-Pour, Cheryl Grady, Stephen Strother
IEEE Transactions on Medical Imaging|December 2, 2014
A Hybrid LDA+gCCA Model for fMRI Data Classification and VisualizationBabak Afshin-Pour, Seyed-Mohammad Shams, Stephen Strother
Plos One|March 27, 2015
How many separable sources? Model selection in independent components analysisRoger P Woods, Lars Kai Hansen, Stephen Strother
Neuroimage|May 24, 2005
Support vector machines for temporal classification of block design fMRI dataStephen LaConte, Stephen Strother, Vladimir Cherkassky, et al.
Human Brain Mapping|March 28, 2006
Exploring predictive and reproducible modeling with the single-subject FIAC datasetXu Chen, Francisco Pereira, Wayne Lee, et al.
Biological Psychiatry|August 23, 2008
Optimizing the design and analysis of clinical functional magnetic resonance imaging research studiesCameron S Carter, Stephan Heckers, Thomas Nichols, et al.
Magnetic Resonance Imaging|October 22, 2017
A novel DTI-QA tool: Automated metric extraction exploiting the sphericity of an agar filled phantomSofia Chavez, Joseph Viviano, Mojdeh Zamyadi, et al.
Neuroimage|October 11, 2019
The structure of the serotonin system: A PET imaging studyVincent Beliveau, Brice Ozenne, Stephen Strother, et al.
IEEE Signal Processing Magazine|November 7, 2022
Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and UniquenessTülay Adali, Furkan Kantar, M A B Siddique Akhonda, et al.
Pageof 4