![](https://www.alexreichenbach.de/wp-content/uploads/2023/09/lab2-1024x531.jpg)
Current Group Members
![](https://www.alexreichenbach.de/wp-content/uploads/2022/10/Foto-Richard-Zowalla-Datenbanken-web-2-1024x683.jpg)
![](https://www.alexreichenbach.de/wp-content/uploads/2023/09/Foto_Hollenbenders-1024x577.jpg)
![](https://www.alexreichenbach.de/wp-content/uploads/2023/10/Friedrich_climbing-547x1024.jpg)
Current Students
Mohammad Alkassab: EEG Artifact Cleaning with Generative Adversarial Networks (Research Project)
Patrick Baracho Dittrich: Influence of the Spatial Dimension in EEG Data for Diagnosis Classification of MDD with Convolutional Neural Networks (Research Project)
Luna Zetsche: Investigation of Biomarker for Diagnosis of MDD Based on EEG Feature Combinations (Research Project)
Previous Group Members
Katrin Andraschko, Research Assistant
Previous 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)
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 (MSc Thesis)
Sebastian King: Generation of Synthetic 3D MRI Data for Schizophrenie Diagnosis based on Generative Methods (in peer review | preprint available) (MSc Thesis)
Yasmin Hollenbenders: Two routes to Alzheimer’s disease based on differential structural changes in key brain regions (MSc Thesis)
Fabian Schmidt: A general data schema and robust processing package for gait data analytics and their evaluation with six publicly available data sets (MSc Thesis)
Erenik Krasniqi: Data-driven stratification of Parkinson’s disease patients based on the progression of motor and cognitive disease markers (MSc Thesis)
Katrin Andraschko: Stratification of patients with Alzheimer’s disease based on clustering longitudinal neuroimaging data with neural networks (MSc Thesis)
Stefanie Ziegler: Stratification of patients with Alzheimer’s disease based on longitudinal neuropsychological tests (MSc Thesis)