Børge Solli Andreassen defending his PhD thesis.
Congratulations to Børge Solli Andreassen, who successfully defended his PhD thesis at the University of Oslo on December 18th 2025.
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".
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.
Visual Intelligence hosted over 45 international AI researchers for the DL2026 workshop at UiT The Arctic University of Norway.
Visual Intelligence will be well represented at MICCAI 2026, one of the leading AI conferences on medical imaging and computer assisted intervention, with two accepted research papers.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.
PhD Candidates Solveig Thrun and Christian Salomonsen attended the Datacloud Global Congress' Talent in Tech programme, which invited emerging talent to a unique programme designed to inspire, educate, and connect young professionals with senior leaders from global tech giants.
We warmly welcome Georgios Leontidis as a new Professor at SFI Visual Intelligence's hub at UiT The Arctic University of Norway.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about the Japan-Norway AI Innovation Forum in Tokyo, Japan.
En ny AI-løsning utviklet ved UiT kan gjøre det enklere å avdekke feilrapportering og ulovlig fiske. Nå skal Norges Råfisklag teste teknologien i praktisk bruk (News article on kystogfjord.no)
Principal Investigator Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the Artificial Intelligence Day at UiT- The Arctic University of Norway.
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En ny, åpent tilgjengelig KI-modell kan endre hvordan geologer tolker seismikk. Den norske grunnmodellen lover raskere analyser, lavere terskel for innovasjon og nye måter å forstå undergrunnen på.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about AI in fisheries and this year's UArctic (University of the Arctic) Congress on the Faroe Islands.
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Professor and AI expert Robert Jenssen is attending the Japan-Norway AI Innovation Forum and Japan-Norway Research Symposium, two high-level meetings with Norwegian and Japanese government leaders, business actors and researchers.
Visual Intelligence researchers Solveig Thrun and Kristoffer Wickstrøm took their research out of the lab and to Tromsø city centre as part of Pint of Science 2026.
Subsurface Digital Manager and former Visual Intelligence board member Cathrine Tegnander will serve as the elected leader of Visual Intelligence's board.
The Call for Papers and Abstracts for the Northern Lights Deep Learning (NLDL) Conference 2027 is officially announced – with submission deadlines on August 7th and Mid-September 2026 respectively.
The field of Visual Intelligence is continuously transforming. Chief Research Scientist Arnt-Børre Salberg dives deeper into the current trends in the field of visual intelligence as of early 2026.
Generativ kunstig intelligens er imponerende, men ikke alltid så nyttig til å løse industrielle problemer (Norwegian op-ed in digi.no).
Congratulations to Marit Dagny Kristine Jenssen, who successfully defended her PhD thesis at UiT The Arctic University of Norway on April 10th
The NCS model, a seismic foundation model trained on data from the Norwegian data repository for subsurface data, is now available as an open-source model, allowing anyone to download, utilize, and further develop the model.
The Visual Intelligence Annual Report 2025, highlighting the centre's progress, activities, achieved innovations, staff, funding, and publications for 2025, is now available to read on our websites.
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Congratulations to Centre Director Robert Jenssen, who received UiT's Research and Development Award at the university's annual celebration.