Current Group Members
Current Students
Janik S.: Multivariate Study on EEG Frequency Band Biomarkers for Diagnostic Classification of Major Depressive Disorder (BSc Thesis)
Mariam H.: Early Detection of Major Depressive Disorder Using Electroencephalography Connectivity Features for Clinical Decision Support (BSc Thesis)
Previous Group Members
Katrin Andraschko, Research Assistant
Previous MSc Students
Jan Lucca Patzelt: Automated Feature Selection of Brain Anatomy Data in Alzheimer’s Patients Using Genetic Algorithms and Hidden Markov Models (Research Project)
Navid Jamalipourkandeh & Mathan Maheswaran: Systematic Review of EEG-Based Diagnostics of Major Depressive Disorder: Robustness of Features and Classification Approaches (Research Project)
Friedrich Carrle: Generation of synthetic EEG data for training algorithms supporting the diagnosis of major depressive disorder
Sebastian King: Generation of Synthetic 3D MRI Data for Schizophrenie Diagnosis based on Generative Methods (manuscript in preparation for peer-review)
Yasmin Hollenbenders: Two routes to Alzheimer’s disease based on differential structural changes in key brain regions
Fabian Schmidt: A general data schema and robust processing package for gait data analytics and their evaluation with six publicly available data sets
Erenik Krasniqi: Data-driven stratification of Parkinson’s disease patients based on the progression of motor and cognitive disease markers
Katrin Andraschko: Stratification of patients with Alzheimer’s disease based on clustering longitudinal neuroimaging data with neural networks
Stefanie Ziegler: Stratification of patients with Alzheimer’s disease based on longitudinal neuropsychological tests