Projects
Facilitating the Reverse Triage Selection process in times of disaster and crowding KU Leuven
Mass casualty incidents (MCIs) such as terrorist attacks (e.g. Brussels, March 22, 2016) or the present CoViD-19 pandemic, can no longer be ignored in today’s society. They lead to unexpected and sudden increases in patient volume at hospitals. This major influx can easily overwhelm an emergency department (ED) and even the entire hospital’s capacity and resources. A healthcare system’s ability to rapidly expand its normal capacity to meet ...
Fieldwork for the Belgian national Election Study University of Antwerp
A new photoelectrochemical singlet oxygen-based detection platform for a panel of cancer biomarkers in tissue and liquid biopsies (SOCAN). University of Antwerp
A new photoelectrochemical singlet oxygen-based detection platform for a panel of cancer biomarkers in tissue and liquid biopsies (SOCAN). University of Antwerp
A new photoelectrochemical singlet oxygen-based detection platform for a panel of cancer biomarkers in tissue and liquid biopsies (SOCAN). University of Antwerp
Merging Control Flow Error and Data Flow Error Detection Techniques to make them Applicable in an Industrial Context KU Leuven
To maximize the resilience of an embedded system against external disturbances, both CFE and DFE must be detected. This combined detection is often mandatory for missions and safety critical systems that are federated through laws and standards. Simply merging a CFE detection technique and a DFE detection technique together and implementing that created technique for the entire target program is excessive and imposes too much overhead. This ...
Hybrid AI for sound event detection KU Leuven
Machine learning and more specifically deep learning has provided compelling solutions for automated interpretation of acoustic signals in a broad range of applications. However, for an appropriate performance large amounts of labeled training examples and substantial computational resources are required, which are difficult to obtain in many complex real-world domains. Among AI experts there is a growing consensus that, in order to make AI ...
The effect of pelvic floor muscle training on bowel symptoms after low anterior resection for colorectal cancer KU Leuven
Colorectal cancer is a serious heath problem in industrialized countries. Worldwide it is the second most common cancer in women and the third in men. Approximately 35% of these tumors originated in the rectum. There are several treatment strategies for rectal cancer, depending on the location and the stage of the tumor. Since amny years, low anterior resection (LAR) of the rectum with total mesorectal excision (TME) is the gold standard for ...
User-centric design of automatic lameness detection in dairy cattle KU Leuven
Lameness is an important health problem causing severe welfare deteriorations and economic losses up to € 53 per cow per year in dairy cattle. Timely detection and treatment can help to minimize economic losses and preserve cow welfare. Current visual detection methods are labor intensive and subjective, and require training to allow detection of subtle changes in a cow’s gait. As a result, the problem is underestimated in practice, and ...