Learning Anatomical Correspondence
Name of applicant
Erik Dam
Title
Professor
Institution
University of Copenhagen
Amount
DKK 87,000
Year
2024
Type of grant
Field Trips / Research Stays < 100,000
Summary
We will develop a machine learning method for learning an anatomical coordinate system. Thereby, we can do statistics on the shape of anatomical objects and link this to physiology. For instance, we can see which shapes of knees (bones, cartilages, and muscles) are related to pain. And thereby understand which types of knee pain that may be treated by physiotherapy, changing the muscle shape.