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

Rong La

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Frontiers in Neuroscience|April 18, 2020
A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using ElectroencephalographyXiaowei Li, Rong La, Ying Wang, et al.
Medical & Biological Engineering & Computing|February 20, 2019
EEG-based mild depression recognition using convolutional neural networkXiaowei Li, Rong La, Ying Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 25, 2019
Graph Theory Analysis of Functional Connectivity in Major Depression Disorder With High-Density Resting State EEG DataShuting Sun, Xiaowei Li, Jing Zhu, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|April 18, 2020
A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using ElectroencephalographyXiaowei Li, Rong La, Ying Wang, et al.
Medical & Biological Engineering & Computing|February 20, 2019
EEG-based mild depression recognition using convolutional neural networkXiaowei Li, Rong La, Ying Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 25, 2019
Graph Theory Analysis of Functional Connectivity in Major Depression Disorder With High-Density Resting State EEG DataShuting Sun, Xiaowei Li, Jing Zhu, et al.
Pageof 1