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

Heewon Kim

Showing results (1-10 of 43) with videos related to

Pageof 5
Sort By:
Journal of the History of the Behavioral Sciences|September 10, 2024
Paul Ekman and the search for the isolated face in the 1960sHeewon Kim
Plos One|July 29, 2022
Machine learning-based predictive modeling of depression in hypertensive populationsChiyoung Lee, Heewon Kim
History and Philosophy of the Life Sciences|March 26, 2021
COVID-19 and the reenactment of mass masking in South KoreaHeewon Kim, Hyungsub Choi
Journal of Hospice and Palliative Care|December 11, 2023
Effects of Death Anxiety and Perceived End-of-Life Care Competencies on Fear of Terminal Care among Clinical NursesHeewon Kim, So-Hi Kwon
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 21, 2023
Learning Controllable ISP for Image EnhancementHeewon Kim, Kyoung Mu Lee
Journal of Health Communication|March 25, 2017
Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth InterventionHeewon Kim, Meara Faw, Andreas Michaelides
Journal of Health Communication|November 11, 2017
Complementary Support from Facilitators and Peers for Promoting mHealth Engagement and Weight LossHeewon Kim, Colter D Ray, Alaina M Veluscek
Nutrition Research and Practice|August 10, 2018
Relationships among behavioral beliefs, past behaviors, attitudes and behavioral intentions toward healthy menu selectionHeewon Kim, Youngshin Kim, Hyung-Min Choi, et al.
Frontiers in Psychology|June 14, 2021
Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost EfficiencyHeewon Kim, Changseok Lee, Seoi Lee, et al.
Plos One|September 5, 2025
DeepGAM: An interpretable deep neural network using generalized additive model for depression diagnosis: Data from the heart and soul studyChiyoung Lee, Yeri Kim, Seoyoung Kim, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Journal of the History of the Behavioral Sciences|September 10, 2024
Paul Ekman and the search for the isolated face in the 1960sHeewon Kim
Plos One|July 29, 2022
Machine learning-based predictive modeling of depression in hypertensive populationsChiyoung Lee, Heewon Kim
History and Philosophy of the Life Sciences|March 26, 2021
COVID-19 and the reenactment of mass masking in South KoreaHeewon Kim, Hyungsub Choi
Journal of Hospice and Palliative Care|December 11, 2023
Effects of Death Anxiety and Perceived End-of-Life Care Competencies on Fear of Terminal Care among Clinical NursesHeewon Kim, So-Hi Kwon
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 21, 2023
Learning Controllable ISP for Image EnhancementHeewon Kim, Kyoung Mu Lee
Journal of Health Communication|March 25, 2017
Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth InterventionHeewon Kim, Meara Faw, Andreas Michaelides
Journal of Health Communication|November 11, 2017
Complementary Support from Facilitators and Peers for Promoting mHealth Engagement and Weight LossHeewon Kim, Colter D Ray, Alaina M Veluscek
Nutrition Research and Practice|August 10, 2018
Relationships among behavioral beliefs, past behaviors, attitudes and behavioral intentions toward healthy menu selectionHeewon Kim, Youngshin Kim, Hyung-Min Choi, et al.
Frontiers in Psychology|June 14, 2021
Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost EfficiencyHeewon Kim, Changseok Lee, Seoi Lee, et al.
Plos One|September 5, 2025
DeepGAM: An interpretable deep neural network using generalized additive model for depression diagnosis: Data from the heart and soul studyChiyoung Lee, Yeri Kim, Seoyoung Kim, et al.
Pageof 5