Current Group Members
Current Students
Previous Group Members
Katrin Andraschko, Research Assistant
Previous Students
Julius G.: Gait Analysis Using Accelerometer Data: Predicting
Gender and Age, and the Influence of (Smartphone)
Sensor Placement on Prediction Accuracy –
A Secondary Data Analysis with a Machine Learning
Approach (BSc Thesis)
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)
Congratulations for being awarded a stipend from the “Friedrich-Wingert-Stiftung” for this project!
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)
Congratulations for being awarded the “Thomas Gessmann Förderpreis” and the “Wirtschaftsjuniorenpreis” for the 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)