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

Zhangdaihong Liu

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Bio-Medical Engineering|December 1, 2023
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure PredictionZhangdaihong Liu, Xuan Wu, Yang Yang, et al.
Frontiers in Neuroscience|July 11, 2022
Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension ReductionZhangdaihong Liu, Kirstie J Whitaker, Stephen M Smith, et al.
IEEE Journal of Biomedical and Health Informatics|December 18, 2023
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography MonitoringZhangdaihong Liu, Tingting Zhu, Lei Lu, et al.
Sensors (Basel, Switzerland)|May 20, 2022
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal ElectrocardiographyGert Mertes, Yuan Long, Zhangdaihong Liu, et al.
Diabetes/Metabolism Research and Reviews|March 27, 2025
Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive ReviewJingjing Liu, Zhangdaihong Liu, Chang Liu, et al.
BMC Public Health|March 2, 2025
Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learningJingjing Liu, Chang Liu, Zhangdaihong Liu, et al.
IEEE Transactions on Bio-Medical Engineering|April 6, 2023
Patient Clustering for Vital Organ Failure Using ICD Code With Graph AttentionZhangdaihong Liu, Ying Hu, Xuan Wu, et al.
Journal of the American Medical Informatics Association : JAMIA|June 11, 2025
Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identificationChang Liu, Zhangdaihong Liu, Jingjing Liu, et al.
IEEE Reviews in Biomedical Engineering|May 15, 2023
Uncertainties in the Analysis of Heart Rate Variability: A Systematic ReviewLei Lu, Tingting Zhu, Davide Morelli, et al.
Communications Engineering|July 27, 2025
Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertiseXiao Gu, Zhangdaihong Liu, Jinpei Han, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Bio-Medical Engineering|December 1, 2023
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure PredictionZhangdaihong Liu, Xuan Wu, Yang Yang, et al.
Frontiers in Neuroscience|July 11, 2022
Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension ReductionZhangdaihong Liu, Kirstie J Whitaker, Stephen M Smith, et al.
IEEE Journal of Biomedical and Health Informatics|December 18, 2023
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography MonitoringZhangdaihong Liu, Tingting Zhu, Lei Lu, et al.
Sensors (Basel, Switzerland)|May 20, 2022
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal ElectrocardiographyGert Mertes, Yuan Long, Zhangdaihong Liu, et al.
Diabetes/Metabolism Research and Reviews|March 27, 2025
Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive ReviewJingjing Liu, Zhangdaihong Liu, Chang Liu, et al.
BMC Public Health|March 2, 2025
Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learningJingjing Liu, Chang Liu, Zhangdaihong Liu, et al.
IEEE Transactions on Bio-Medical Engineering|April 6, 2023
Patient Clustering for Vital Organ Failure Using ICD Code With Graph AttentionZhangdaihong Liu, Ying Hu, Xuan Wu, et al.
Journal of the American Medical Informatics Association : JAMIA|June 11, 2025
Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identificationChang Liu, Zhangdaihong Liu, Jingjing Liu, et al.
IEEE Reviews in Biomedical Engineering|May 15, 2023
Uncertainties in the Analysis of Heart Rate Variability: A Systematic ReviewLei Lu, Tingting Zhu, Davide Morelli, et al.
Communications Engineering|July 27, 2025
Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertiseXiao Gu, Zhangdaihong Liu, Jinpei Han, et al.
Pageof 2