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

Darius Adam Rohani

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHDDarius Adam Rohani, Helge B D Sorensen, Sadasivan Puthusserypady
Frontiers in Digital Health|April 25, 2022
What's Up With These Conversational Health Agents? From Users' Critiques to Implications for DesignRaju Maharjan, Kevin Doherty, Darius Adam Rohani, et al.
JMIR Mental Health|June 30, 2018
Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods StudyDarius Adam Rohani, Nanna Tuxen, Andrea Quemada Lopategui, et al.
International Journal of Bipolar Disorders|December 1, 2021
Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective statesMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Journal of Affective Disorders|March 27, 2022
Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorderMaria Faurholt-Jepsen, Jonas Busk, Darius Adam Rohani, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|February 4, 2024
Using digital phenotyping to classify bipolar disorder and unipolar disorder - exploratory findings using machine learning modelsMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Acta Psychiatrica Scandinavica|December 19, 2021
Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone callsMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHDDarius Adam Rohani, Helge B D Sorensen, Sadasivan Puthusserypady
Frontiers in Digital Health|April 25, 2022
What's Up With These Conversational Health Agents? From Users' Critiques to Implications for DesignRaju Maharjan, Kevin Doherty, Darius Adam Rohani, et al.
JMIR Mental Health|June 30, 2018
Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods StudyDarius Adam Rohani, Nanna Tuxen, Andrea Quemada Lopategui, et al.
International Journal of Bipolar Disorders|December 1, 2021
Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective statesMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Journal of Affective Disorders|March 27, 2022
Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorderMaria Faurholt-Jepsen, Jonas Busk, Darius Adam Rohani, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|February 4, 2024
Using digital phenotyping to classify bipolar disorder and unipolar disorder - exploratory findings using machine learning modelsMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Acta Psychiatrica Scandinavica|December 19, 2021
Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone callsMaria Faurholt-Jepsen, Darius Adam Rohani, Jonas Busk, et al.
Pageof 1