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

Jeongyoon Shin

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

Pageof 1
Sort By:
Frontiers in Neurology|September 25, 2023
Electroencephalography characteristics related to risk of sudden unexpected death in epilepsy in patients with Dravet syndromeJeong-Youn Kim, Jeongyoon Shin, Laehyun Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Intracranial Disease Region Composite Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy SurgeryJeongyoon Shin, Wonsik Yang, Jungmin Seo, et al.
BMC Medical Informatics and Decision Making|May 31, 2024
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical historyDaeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Neurology|September 25, 2023
Electroencephalography characteristics related to risk of sudden unexpected death in epilepsy in patients with Dravet syndromeJeong-Youn Kim, Jeongyoon Shin, Laehyun Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Intracranial Disease Region Composite Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy SurgeryJeongyoon Shin, Wonsik Yang, Jungmin Seo, et al.
BMC Medical Informatics and Decision Making|May 31, 2024
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical historyDaeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, et al.
Pageof 1