Master Thesis: Computer Vision Models for Chronic Wound Diagnosis
Chronic wounds and wound healing disorders not only pose a significant burden on the healthcare system but also impact patients’ quality of life, often requiring prolonged treatment and frequent monitoring.
Using deep learning offer...
Topic Description:
Camera traps are widely used in wildlife monitoring, but automated species recognition remains challenging due to low image quality, occlusions, and morphological similarities between species. Most existing approaches rely on single-frame classification, disregarding valuable t...
Bachelor's / Master's Thesis / Research Internship / Project
Fear avoidance (FA) beliefs (i.e. movements may lead to pain/injury) motivate patients with chronic primary low back pain (CPLBP) to avoid physical activity and may thereby contribute to the maintenance of pain and disability. Patients’ c...
Bachelor's / Master's Thesis / Research Internship / Project
Earliest project/thesis start in May 2025!
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...
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...
Implementation / Master's Project
Many studies investigating the cortisol awakening response (CAR) suffer from a lack of precise and objective methods for assessing the awakening and saliva sampling times. Failure to correctly report times or to adhere to the study protocol, which is common in unsu...
Privacy Settings
Our website uses cookies and similar technologies.
Some cookies are necessary for visiting this website, i.e. essential. Otherwise, without these cookies, your end device would not be able to remember your privacy choices, for example.
If you agree, we also use cookies and data to measure your interactions with our website or to integrate external media (e.g. videos).
You can view and withdraw your consent at any time at Privacy policy. On the site you will also find additional information about the cookies and technologies used.
Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.
