Future proofing radiology workflows through MR-STAT and Artificial Intelligence
This PhD thesis investigates several interrelated bottlenecks in radiology: long MRI acquisition times, limited quantitative interpretability of conventional MRI, increasing radiologist workload, and challenges associated with emerging technologies such as AI into clinical practice. The central premise was that technic...