Analysis of medical images is essential in modern medicine. With the ever-increasing amount of patient data, new challenges and opportunities arise for different phases of the clinical routine, such as diagnosis, treatment, and monitoring. The InnerEye research project focuses on the automatic analysis of patients' medical scans. It uses state-of-the-art machine learning techniques for the: •Automatic delineation and measurement of healthy anatomy and anomalies; •Robust registration for monitoring disease progression; •Semantic navigation and visualization for improved clinical workflow; •Development of natural user interfaces for medical practitioners.

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