Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Sergey M Plis

Showing results (1-10 of 52) with videos related to

Pageof 6
Sort By:
Frontiers in Neuroscience|August 19, 2015
Group-level component analyses of EEG: validation and evaluationRene J Huster, Sergey M Plis, Vince D Calhoun
Journal of Neuroscience Methods|October 21, 2019
Decentralized distribution-sampled classification models with application to brain imagingNoah Lewis, Harshvardhan Gazula, Sergey M Plis, et al.
Scientific Reports|May 5, 2025
brain2print AI powered web tool for creating 3D printable brain modelsChristopher Rorden, Matthew McCormick, Taylor Hanayik, et al.
Journal of Signal Processing Systems|June 11, 2013
Correlated Noise: How it Breaks NMF, and What to Do About ItSergey M Plis, Vamsi K Potluru, Terran Lane, et al.
Neuroimage|April 16, 2016
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasksHojin Jang, Sergey M Plis, Vince D Calhoun, et al.
Neuroimage|April 22, 2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimagingRogers F Silva, Sergey M Plis, Tülay Adalı, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Neuroinformatics|May 5, 2021
NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging DataNipuna Senanayake, Robert Podschwadt, Daniel Takabi, et al.
Frontiers in Neuroinformatics|December 2, 2010
MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal ChangesSergey M Plis, Vince D Calhoun, Michael P Weisend, et al.
Frontiers in Neuroinformatics|September 24, 2024
Efficient federated learning for distributed neuroimaging dataBishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, et al.
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Frontiers in Neuroscience|August 19, 2015
Group-level component analyses of EEG: validation and evaluationRene J Huster, Sergey M Plis, Vince D Calhoun
Journal of Neuroscience Methods|October 21, 2019
Decentralized distribution-sampled classification models with application to brain imagingNoah Lewis, Harshvardhan Gazula, Sergey M Plis, et al.
Scientific Reports|May 5, 2025
brain2print AI powered web tool for creating 3D printable brain modelsChristopher Rorden, Matthew McCormick, Taylor Hanayik, et al.
Journal of Signal Processing Systems|June 11, 2013
Correlated Noise: How it Breaks NMF, and What to Do About ItSergey M Plis, Vamsi K Potluru, Terran Lane, et al.
Neuroimage|April 16, 2016
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasksHojin Jang, Sergey M Plis, Vince D Calhoun, et al.
Neuroimage|April 22, 2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimagingRogers F Silva, Sergey M Plis, Tülay Adalı, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Neuroinformatics|May 5, 2021
NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging DataNipuna Senanayake, Robert Podschwadt, Daniel Takabi, et al.
Frontiers in Neuroinformatics|December 2, 2010
MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal ChangesSergey M Plis, Vince D Calhoun, Michael P Weisend, et al.
Frontiers in Neuroinformatics|September 24, 2024
Efficient federated learning for distributed neuroimaging dataBishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, et al.
Pageof 6