Cardiovascular Image Analysis
- Deep learning in medical image analysis (DLMedIA)
- Patient-care Advancement with Responsive Technologies aNd Engagement togetheR (Partner)
- Automated cardiovascular risk prediction in breast cancer patients undergoing radiotherapy treatment planning CT
- AI for CCTA-based prediction of FFR
- Cardiac arrythmia in patients with congentive heart disease
Neonatal Brain Image Analysis
Gastrointestinal image analysis
Neurovascular image analysis
- Algorithm development through AI for the triage of stroke patients in the ambulance with electroencephalography (AI Stroke)
- Artificial Intelligence for early imaging-based patient selection in acute ischemic stroke (AIRBORNE)
- Better Results with Artificial INtelligence for Stroke (BRAINS)
- Cost Effectiveness of CT Perfusion for Patients suffering from Acute Ischemic Stroke (CLEOPATRA)
- In Silico Clinical Trials for treatment of Acute Ischemic stroke (INSIST)
- Increasing the value of deep learning in high-dimensional, low sample size medical image data.
- Medical Care Evolution (MEDOLUTION)
- Stroke treatment decision support by Artificial Intelligence for analysis of MR images (Stairs)
Neurology
Digital Pathology
Former projects
- Automatic identification of patients with functionally significant obstructive coronary artery disease using non-invasive cardiac CT
- Deep Learning for MR-only radiotherapy treatment workflow
- Cardiovascular phenotype-genotype analysis within a CT based lung cancer screening trial
- Automatic detection of CVD and osteoporosis in lung cancer screening trials
- Identification and quantification of arterial calcifications in cardiac CT
- Automatic analysis of the developing neonatal brain
- Aterosclerotic calcifications of head and neck arteries, and its relation to stenosis of internal carotid artery in patients with cerebrovascular disease symptoms