Master Thesis:
This thesis explores the current landscape of synthetic data generation methods in clinical data analysis. It will involve an in-depth literature review and comparative testing of various synthetic data generation techniques. The thesis will also include an analysis of ethical consid...
Description:
This project focuses on developing a deep learning model that accurately segments tissues in a wound by incorporate prior knowledge about the wound structure using spatial priors. This targeted solution aims to streamline the tissue segmentation process, ultimately contributing to the...
Description:
This project focuses on developing a deep learning model that accurately segments tissues in a wound using super pixel based image segmentation algorithms. This targeted solution aims to streamline the tissue segmentation process, ultimately contributing to the SWODDYS project's large...
Bachelor's / Master's Thesis / Research Internship / Project
The real-time control and analysis of human poses and movements has long been a complex problem in fields like computer vision and machine learning. Physics-informed neural networks (PINNs) have recently shown promise in improving the acc...
Bachelor's / Master's Thesis / Research Internship / Project
The aim of our research is to explore the potential of digital technologies in psychological research to better understand human psychology and behavior. Many psychological research areas still rely on “traditional” methods, such as labor...
Bachelor's / Master's Thesis / Research Internship / Project
The observation of body posture and movements is a promising extension to the established biopsychological markers for stress measurement, such as self-reports, saliva, or blood samples. Body posture and movements provide additional infor...
Bachelor's / Master's Thesis / Research Internship / Project
Acute stress reliably activates, among other pathways, the sympathetic nervous system, leading to changes in heart rate (variability) (HR and HRV), respiration, pre-ejection period (PEP), and electrodermal activity (EDA). So far, these pa...
Background:
In Germany, prenatal visits for normal-risk pregnancies are every 2-4 weeks. This low time resolution and reliance on subjective feedback instead of direct physiological measurement, could be augmented by remote monitoring. To date, continuous physiological measurements have not been ...
This work aims to investigate and analyze the intriguing properties exhibited by foundation models in deep learning, including vision, natural language processing (NLP), and multimodal models. The research intends to provide a comprehensive understanding of these properties to enhance the reliabilit...
Project / Research Internship
Background
Breast cancer is a significantly effects the health and quality of life (QoL) of patients. Measurement of health-related quality of life (HRQoL) aims to
capture the perceived impact of the disease and its treatment on patients’ physical, emotional, and soc...
