136 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BelgradeRS2 papers
- Delaware Biotechnology InstituteUS1 paper
- Delaware State UniversityUS1 paper
- Ministry of HealthSG1 paper
- Nanyang Technological UniversitySG1 paper
- National University of SingaporeSG1 paper
- TomTom (Netherlands)NL1 paper
- United Arab Emirates UniversityAE1 paper
- Universidad Complutense de MadridES1 paper
- Vinča Institute of Nuclear Sciences1 paper
4 papers
HOPES -- An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning
Xuancong Wang, Nikola Vouk, Creighton Heaukulani +4
We describe the development of, and early experiences with, comprehensive Digital Phenotyping platform: Health Outcomes through Positive Engagement and Self-Empowerment (HOPES). HO…
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao Hu, Kang Sim, Juan Helen Zhou +2
Convolutional Neural Network (CNN) has been successfully applied on classification of both natural images and medical images but not yet been applied to differentiating patients wi…
Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression
Čukić Milena, Stokić Miodrag, Radenković Slavoljub +3
Biomarkers of Major Depressive Disorder(MDD), its phases and forms have long been sought. Research indicates that the complexity measures of the cortical electrical activity (EEG)…
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression
Milena Cukic, David Pokrajac, Miodrag Stokic +3
Reliable diagnosis of depressive disorder is essential for both optimal treatment and prevention of fatal outcomes. In this study, we aimed to elucidate the effectiveness of two no…