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

Stelios Hadjidimitriou

Showing results (1-10 of 20) with videos related to

Pageof 2
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Wrist Accelerometry-based Digital Assessment of Slowness of Movement in Parkinson's Disease: a Multi-Cohort AnalysisIoannis Gerasimou, Apostolos Moustaklis, Charalampos Sotirakis, et al.
Frontiers in Robotics and AI|June 11, 2021
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep LearningThomas Bikias, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Scientific Reports|May 18, 2018
Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's diseaseDimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, et al.
Frontiers in Digital Health|October 29, 2021
Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing ProcessingAnastasia Ntracha, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
JMIR Research Protocols|March 13, 2023
Clinical Validation of an Artificial Intelligence-Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort StudyStelios Hadjidimitriou, Efstathios Pagourelias, Georgios Apostolidis, et al.
Scientific Reports|September 19, 2019
Touchscreen typing pattern analysis for remote detection of the depressive tendencyRafail-Evangelos Mastoras, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Health Informatics Journal|October 23, 2024
A web-based platform for studying the impact of artificial intelligence in video capsule endoscopyGeorgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, 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.
Scientific Reports|July 30, 2020
Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learningDimitrios Iakovakis, K Ray Chaudhuri, Lisa Klingelhoefer, et al.
Journal of Medical Internet Research|August 6, 2025
Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory StudyBeatriz Alves, Ghada Alhussein, Sara Riggare, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Wrist Accelerometry-based Digital Assessment of Slowness of Movement in Parkinson's Disease: a Multi-Cohort AnalysisIoannis Gerasimou, Apostolos Moustaklis, Charalampos Sotirakis, et al.
Frontiers in Robotics and AI|June 11, 2021
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep LearningThomas Bikias, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Scientific Reports|May 18, 2018
Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's diseaseDimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, et al.
Frontiers in Digital Health|October 29, 2021
Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing ProcessingAnastasia Ntracha, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
JMIR Research Protocols|March 13, 2023
Clinical Validation of an Artificial Intelligence-Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort StudyStelios Hadjidimitriou, Efstathios Pagourelias, Georgios Apostolidis, et al.
Scientific Reports|September 19, 2019
Touchscreen typing pattern analysis for remote detection of the depressive tendencyRafail-Evangelos Mastoras, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Health Informatics Journal|October 23, 2024
A web-based platform for studying the impact of artificial intelligence in video capsule endoscopyGeorgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, 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.
Scientific Reports|July 30, 2020
Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learningDimitrios Iakovakis, K Ray Chaudhuri, Lisa Klingelhoefer, et al.
Journal of Medical Internet Research|August 6, 2025
Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory StudyBeatriz Alves, Ghada Alhussein, Sara Riggare, et al.
Pageof 2