Project

ID 2450: Incorporating Spatial Priors in Tissue Segmentation in Wound Images

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...

ID 2449: Superpixel-based Tissue Segmentation in Wound Images

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...

ID 2446: EmpkinS C01: Physics-Informed Deep Learning for Movement Analysis and Control

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...

ID 2433: Various Topics for Machine Learning and (Web) App Development in Health Psychology

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...

ID 2432: EmpkinS D03 – Contactless Measurement of Acute Stress from Macro Movements

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...

ID 2431: EmpkinS D03 – Contactless Measurement of Acute Stress from Micro Movements

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...

ID 2419: Decoding Foundation Models: Enhancing Understanding and Transparency

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...

ID 2406: Development of a Mobile Application for Assessing Quality of Life in Breast Cancer Patients

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...

ID 2402: Diagnosis of patients with Atypical Parkinsonism using IMUs

Diagnosis of patients with Atypical Parkinsonism using IMUs: Project: Atypical Parkinsonism syndromes such as Multiple system atrophy (MSA) and Progressive supranuclear palsy (PSP) are rare conditions that often are misdiagnosed as Idiopathic Parkinson disease (IPD). The aim of this project...

ID 2367: iOS App Development for “CARWatch – An Open-Source Framework for Improving Cortisol Awakening Response Sampling”

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...