Børge Solli Andreassen defending his PhD thesis.
Image:
Anne Solberg

Børge Solli Andreassen defending his PhD thesis.

Successful PhD defense by Børge Solli Andreassen

Congratulations to Børge Solli Andreassen, who successfully defended his PhD thesis at the University of Oslo on December 18th 2025.

Successful PhD defense by Børge Solli Andreassen

Congratulations to Børge Solli Andreassen, who successfully defended his PhD thesis at the University of Oslo on December 18th 2025.

By Petter Bjørklund, Communications Officer at SFI Visual Intelligence

Andreassen is a Doctoral Research Fellow at SFI Visual Intelligence's hub at the University of Oslo.

His thesis, titled "Deep Learning for Mitral Annulus Delineation in 3D Transesophageal Echocardiography", focuses on automating the tracing of the mitral valve ring in 3D ultrasound images. The methods use artificial intelligence that learns from real patient data.

Andreassen's trail lecture was titled "LLMs for advancing clinical care".

Summary of the thesis

Aging populations mean that more people live with heart valve disease. Doctors often use echocardiography, a minimally invasive ultrasound examination of the heart, to diagnose and plan procedures. For the mitral valve, the supporting ring (the annulus) moves and changes shape throughout each heartbeat. Careful measurements are important for deciding if and how the mitral valve should be repaired. Automating these measurements can save time, improve consistency between observers, and support treatment decisions.

This thesis focuses on automating the tracing of the mitral valve ring in 3D ultrasound images. The methods use artificial intelligence that learns from real patient data. Over the course of the thesis, the models make increasing use of the full three-dimensional context in the images and more explicit knowledge about the ring’s typical saddle-like shape. In the experiments, the automatic measurements are on average within two millimetres of the reference annotations. This accuracy is similar to previously reported differences between human experts.

The results show that artificial intelligence can provide fast and consistent measurements of the mitral valve ring and could help cardiologists plan and guide valve repair procedures more efficiently.

Supervisors

  • Professor II Eigil Samset,University of Oslo, Norway
  • Professor Anne Helene Schistad Solberg, University of Oslo, Norway
  • Associate Professor Sarina Thomas, University of Oslo, Norway
  • AI Researcher David Völgyes, Field Geospatial AS, Norway

Evaluation committee

  • Professor Jan D'hooge, KU Leuven, Belgium
  • Research Manager Ingerid Reinertsen, SINTEF Digital, Norway
  • Professor Sven Peter Näsholm, University of Oslo, Norway

Børge Solli Andreassen after successfully defending his PhD thesis. Photo: Tollef Jahren.

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