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

Anastasios Delopoulos

Showing results (31-40 of 42) with videos related to

Pageof 5
Sort By:
JMIR Mhealth and Uhealth|September 6, 2018
The SPLENDID Eating Detection Sensor: Development and Feasibility StudyJanet van den Boer, Annemiek van der Lee, Lingchuan Zhou, et al.
JMIR Mhealth and Uhealth|July 25, 2020
Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability StudyBilly Langlet, Christos Maramis, Christos Diou, et al.
Nutrients|March 23, 2019
Predicting Real-Life Eating Behaviours Using Single School Lunches in AdolescentsBilly Langlet, Petter Fagerberg, Anastasios Delopoulos, et al.
Nutrients|July 26, 2020
Lower Energy Intake among Advanced vs. Early Parkinson's Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional StudyPetter Fagerberg, Lisa Klingelhoefer, Matteo Bottai, et al.
Nutrients|May 16, 2020
Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in GreeceAthanasia Tragomalou, George Moschonis, Yannis Manios, et al.
Scientific Reports|December 8, 2020
Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniquesAlexandros Papadopoulos, Dimitrios Iakovakis, Lisa Klingelhoefer, et al.
Cancer Informatics|May 22, 2009
Semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approachTheodoros Agorastos, Vassilis Koutkias, Manolis Falelakis, et al.
JMIR Mhealth and Uhealth|May 28, 2021
Exploring Associations Between Children's Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention DashboardDimitris Filos, Irini Lekka, Vasileios Kilintzis, et al.
Current Developments in Nutrition|September 26, 2022
Toward Systems Models for Obesity Prevention: A Big Role for Big DataAdele R Tufford, Christos Diou, Desiree A Lucassen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environmentChristos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
JMIR Mhealth and Uhealth|September 6, 2018
The SPLENDID Eating Detection Sensor: Development and Feasibility StudyJanet van den Boer, Annemiek van der Lee, Lingchuan Zhou, et al.
JMIR Mhealth and Uhealth|July 25, 2020
Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability StudyBilly Langlet, Christos Maramis, Christos Diou, et al.
Nutrients|March 23, 2019
Predicting Real-Life Eating Behaviours Using Single School Lunches in AdolescentsBilly Langlet, Petter Fagerberg, Anastasios Delopoulos, et al.
Nutrients|July 26, 2020
Lower Energy Intake among Advanced vs. Early Parkinson's Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional StudyPetter Fagerberg, Lisa Klingelhoefer, Matteo Bottai, et al.
Nutrients|May 16, 2020
Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in GreeceAthanasia Tragomalou, George Moschonis, Yannis Manios, et al.
Scientific Reports|December 8, 2020
Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniquesAlexandros Papadopoulos, Dimitrios Iakovakis, Lisa Klingelhoefer, et al.
Cancer Informatics|May 22, 2009
Semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approachTheodoros Agorastos, Vassilis Koutkias, Manolis Falelakis, et al.
JMIR Mhealth and Uhealth|May 28, 2021
Exploring Associations Between Children's Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention DashboardDimitris Filos, Irini Lekka, Vasileios Kilintzis, et al.
Current Developments in Nutrition|September 26, 2022
Toward Systems Models for Obesity Prevention: A Big Role for Big DataAdele R Tufford, Christos Diou, Desiree A Lucassen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environmentChristos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, et al.
Pageof 5