Lab profile
About AI4MRI
The AI4MRI lab investigates the use of Artificial Intelligence to optimize Magnetic Resonance Imaging in terms of speed, image quality, robustness, and integration. A key focus is developing AI-based correction methods to handle patient motion, which is a considerable and longstanding problem affecting diagnostic image quality in MR imaging.
Magnetic Resonance Imaging optimizationPatient motion correctionMedical image quality enhancementAI for medical imaging
01 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
Marius StaringDirector · Prof Dr IrLinkedIn ↗
02 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Clinical DVH metrics as a loss function for 3D dose prediction in head and neck radiotherapy.International journal of computer assisted radiology and surgery · 2026
- The current state of artificial intelligence-based invasive coronary angiography image analysis: a systematic review.European heart journal. Digital health · 2026
- A plug-and-play method for guided multi-contrast MRI reconstruction based on content/style modeling.Medical image analysis · 2026
03 · Updates
Updates and lab news
News and events from the lab’s own site.
No news has been collected from the lab’s site yet.
04 · Official presence
Lab sources and channels
The lab’s own pages and accounts.