Outside the conference venue at UMCG, Groningen. From left to right: Luigi Luppino, Fredrik Aspheim, Klara Leffler,Samuel Kuttner. Photo: Luigi Luppino
Fredrik Aspheim, Luigi Luppino, and Samuel Kuttner were co-authors of work that were awarded for best presentation at the Artificial Intelligence and Informatics in Nuclear Medicine Symposium Symposium (AINM) 2023.
Fredrik Aspheim, Luigi Luppino, and Samuel Kuttner were co-authors of work that were awarded for best presentation at the Artificial Intelligence and Informatics in Nuclear Medicine Symposium Symposium (AINM) 2023.
The Artificial Intelligence and Informatics in Nuclear Medicine (AINM) 2023 was arranged in Groningen, Netherlands during October 9-11 2023. It was the first international networking symposium of its kind, and gathered experts in the field of nuclear medicine, including clinicians, physicists, data scientists, students and industry partners, to discuss the current advancements, challenges, and the future of AI in nuclear medicine.
Luigi Luppino and Samuel Kuttner are principal investigators of the preclinical machine learning work package in the 180°N - Norwegian Nuclear Medicine Consortium (www.180N.no), and also associated to SFI Visual Intelligence, and UiT Machine learning group, participated with two submitted abstracts. One of the abstracts was the continuation of Fredrik Aspheim’s Master’s thesis, submitted earlier in 2023, and Aspheim was also co-authoring this AINM abstract. Furthermore, the second abstract was in collaboration with PhD student Klara Leffler and associate professor Jan Axelsson, from Umeå University. Both abstracts were accepted as oral presentations, and both oral presentations were awarded with best and second best presentation award, by an independent jury.
The two abstracts/presentations were:
● Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging, by Fredrik Aspheim, Luigi Tommaso Luppino, Michael Kampffmeyer, Robert Jenssen, Rune Sundset, and Samuel Kuttner, and
● Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps, by Klara Leffler, Luigi Luppino, Samuel Kuttner, and Jan Axelsson.
The prices will allow the authors to submit their research at a reduced cost into an upcoming special issue of the open access journal Frontiers of Nuclear Medicine. The special issue is entitled “Nuclear Medicine Advances Through Artificial Intelligence and Intelligent Informatics”.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting" workshop:
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.
Visual Intelligence researchers contributed to the Pioneer Centre for AI workshop on Electronic Health Records research. The aim was to strengthen ties between the two centres on EHR-related research.
Tre av studentene i sivilingeniør i Kunstig Intelligens ved UiT skal delta i NM i KI. Slik gikk det da de ble intervjuet ved hjelp av kunstig intelligens (News article in nordlys.no).