1. ADVANCING DYNAMIC TRAJECTORY RADIOTHERAPY EXPLORING ROBUSTNESS FOR TREATMENT PLANNING AND MANAGING MOTION FOR DELIVERY 

   Loebner, Hannes A. (2024)

   Abstract About one in three individuals will develop cancer during their lives which makes cancer a leading cause of death. Fortunately, advances in diagnosing and treating cancer in the last century have improved patient survival and treatment outcome. Modern cancer treatment is based on three pillars. Radiotherapy, alongside surgery and chemotherapy, is prescribed to almost every second cancer patient as a single or combined treatment ...

   Doctoral Thesis

2. Robustness analysis of dynamic trajectory radiotherapy and volumetric modulated arc therapy plans for head and neck cancer 

   Loebner, Hannes A.; Bertholet, Jenny; Mackeprang, Paul-Henry; et al. (2024)

   Physics and Imaging in Radiation Oncology

   Background and purpose Dynamic trajectory radiotherapy (DTRT) has been shown to improve healthy tissue sparing compared to volumetric arc therapy (VMAT). This study aimed to assess and compare the robustness of DTRT and VMAT treatment-plans for head and neck (H&N) cancer to patient-setup (PS) and machine-positioning uncertainties. Materials and methods The robustness of DTRT and VMAT plans previously created for 46 H&N cases, prescribed ...

   Journal Article

3. MILLIMETER-SCALE SEISMOLOGY: IN-VIVO RESULTS FOR MEDICAL ULTRASOUND 

   Ulrich, Ines Elisa (2024)

   Waves are excellent carriers of information. By analysing recorded wave- fields, this information can be extracted and harnessed to learn about the internal characteristics of the propagation medium. As they travel through space and time, waves span many orders of magnitude, which has lead to the extensive study of wave phenomena in many fields of science, including seismology and medical ultrasound. In both fields, a primary interest ...

   Doctoral Thesis

4. Automating Website Registration for Studying GDPR Compliance 

   Kubicek, Karel; Merane, Jakob; Bouhoula, Ahmed; et al. (2024)

   WWW '24: Proceedings of the ACM on Web Conference 2024

   Investigating how websites use sensitive user data is an active research area. However, research based on automated measurements has been limited to those websites that do not require user authentication. To overcome this limitation, we developed a crawler that automates website registrations and newsletter subscriptions and detects both security and privacy threats at scale. We demonstrate our crawler's capabilities by running it on ...

   Conference Paper

5. Suicide Risk Prediction using Electronic Health Records 

   Ancillon, Lou (2024)

   Master Thesis

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