Cases

Case C: Novel Volumetric Biomarkers for First Trimester Pregnancies Assessed using 3D Ultrasound
Develop novel, robust, failure-aware and resource-efficient AI methods to automatically derive quantitative biomarkers from 3d ultrasounds to monitoring growth and development of the fetus.
Case C: Novel Volumetric Biomarkers for First Trimester Pregnancies Assessed using 3D Ultrasound
Case D: Non-invasive Identification of Patients Requiring Invasive Coronary Artery Treatment
Developing AI-based CT-derived FFR methods for non-invasively identifying patients requiring invasive coronary artery treatment.
Case D: Non-invasive Identification of Patients Requiring Invasive Coronary Artery Treatment
Case F: Workflow Improvement of Image-guided Radiotherapy
We are investigating an alternative radiotherapy treatment workflow on the MR-Linac for high-risk prostate cancer patients.
Case F: Workflow Improvement of Image-guided Radiotherapy
Case G: Urgent Care Referral Using Lung Ultrasound Imaging of Lungs
Short summary here
Case G: Urgent Care Referral Using Lung Ultrasound Imaging of Lungs
Case H: Triaging Patients with Suspected Cardiac Disease
The project aims to develop AI models to automatically analyze echocardiographic images, supporting primary care physicians in triaging patients and determining the need for cardiac referral.
Case H: Triaging Patients with Suspected Cardiac Disease