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

Zening Fu

Showing results (31-40 of 168) with videos related to

Pageof 17
Sort By:
Human Brain Mapping|March 15, 2023
Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classificationHooman Rokham, Haleh Falakshahi, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patternsAo Tan, Zening Fu, Yiheng Tu, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
Scientific Reports|September 29, 2025
Semantic locality-aware biclustering for brain functional network connectivityMd Abdur Rahaman, Rogers Silva, Zening Fu, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 25, 2014
Adaptive covariance estimation of non-stationary processes and its application to infer dynamic connectivity from fMRIZening Fu, Shing-Chow Chan, Xin Di, et al.
Molecular Psychiatry|July 31, 2024
Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children populationZening Fu, Jing Sui, Armin Iraji, et al.
Neuroimage|November 8, 2024
A simple but tough-to-beat baseline for fMRI time-series classificationPavel Popov, Usman Mahmood, Zening Fu, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 1, 2026
Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneityXinhui Li, Eloy Geenjaar, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Fusing multimodal neuroimaging data with a variational autoencoderEloy Geenjaar, Noah Lewis, Zening Fu, et al.
Journal of Neuroscience Methods|November 18, 2022
Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year periodYuda Bi, Anees Abrol, Zening Fu, et al.
Pageof 17

Showing results (31-40 of 168) with videos related to

Sort By:
Pageof 17
Human Brain Mapping|March 15, 2023
Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classificationHooman Rokham, Haleh Falakshahi, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patternsAo Tan, Zening Fu, Yiheng Tu, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
Scientific Reports|September 29, 2025
Semantic locality-aware biclustering for brain functional network connectivityMd Abdur Rahaman, Rogers Silva, Zening Fu, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 25, 2014
Adaptive covariance estimation of non-stationary processes and its application to infer dynamic connectivity from fMRIZening Fu, Shing-Chow Chan, Xin Di, et al.
Molecular Psychiatry|July 31, 2024
Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children populationZening Fu, Jing Sui, Armin Iraji, et al.
Neuroimage|November 8, 2024
A simple but tough-to-beat baseline for fMRI time-series classificationPavel Popov, Usman Mahmood, Zening Fu, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 1, 2026
Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneityXinhui Li, Eloy Geenjaar, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Fusing multimodal neuroimaging data with a variational autoencoderEloy Geenjaar, Noah Lewis, Zening Fu, et al.
Journal of Neuroscience Methods|November 18, 2022
Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year periodYuda Bi, Anees Abrol, Zening Fu, et al.
Pageof 17