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”.
Centre Director Robert Jenssen and PhD Candidate Lars Uebbing had two fruitful days together with researchers at The Alan Turing Institute's headquarters in London
Senior Research Scientist Anders Waldeland is nominated for the Digital Trailblazer 2025 Award. The winner is announced at the Dig X Subsurface conference in Oslo, Norway in December.
Visual Intelligence researchers have developed an AI to automatically measure the heart's structure – both quickly and accurately. They believe it can help doctors detect and treat cardiovascular diseases faster.
Samuel Kuttner and Elin Kile presented research on PET and artificial intelligence at evening seminar on early detection of prostate cancer organized by the Norwegian Prostate Cancer Assocation.
Centre Director Robert Jenssen represented Visual Intelligence at Svarte Natta 2025 – North Norway's journalist and media conference organized by the Norwegian Union of Journalists.
Congratulations to PhD Candidate Preetraj Bhoodoo, who recently won the Best Poster Presentation Award at the PRESIMAL Autumn Reserach School 2025.
We happily welcome Sigurd Almli Hanssen and Adrian Duric as new PhD Candidates at SFI Visual Intelligence's hubs in Tromsø and Oslo respectively.
AI expert Eirik Agnalt Østmo explains that the law is intended to make AI technology safe for everyone (Popular science article on sciencenorway.no)
Aitor Sánchez is a PhD candidate at the Intelligent Systems Group of the University of the Basque Country in Spain. He visited Visual Intelligence in Tromsø from March to June 2025.
We happily welcome Nicolo Grometto as a new PhD Candidate at SFI Visual Intelligence in Bodø, Norway.
Visual Intelligence hosted a hybrid meeting with researchers from the Alan Turing Institute at UiT The Arctic University of Norway in Tromsø, Norway.
Visual Intelligence researchers participated in this year's Forskningsdagene: an annual national research festival which aims to stimulate the general public's interest and curiosity in research.
Norge arbeider med å få på plass en egen lov for kunstig intelligens. Loven skal passe på at vi bruker KI på en trygg måte (Norwegian news article at uit.no).
85 researchers from the Visual Intelligence consortium convened for the Visual Intelligence Days: the annual workshop where researchers, user partners and invited guests convene to share knowledge and updates on the latest research and innovations within the centre.
Registration for the Northern Lights Deep Learning Conference 2026 is officially open. Early bird fees are available before December 1st 2025.
Det skal eksperter på kunstig intelligens, cybersikkerhet og juss fra UiT Norges arktiske universitet diskutere på Verdensteatret Kino den 17. september. Arrangementet er gratis og åpen for alle (Norwegian news article at uit.no)
The presentations from the Visual Intelligence Workshop on Foundation Models are now available on the Visual Intelligence YouTube channel.
Congratulations to Nikita Shvetsov for successfully defending his PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway on August 27th 2025.
Det sa digitaliseringsminister Karianne Tung (Ap) da hun besøkte UiT Norges arktiske universitet i Tromsø for å lære mer om utdanning og toppforskning på kunstig intelligens ved universitetet (Norwegian news article at uit.no)
A new study shows how deep learning can achieve human-level performance in estimating uncertainty when classifying foraminifera (News story at EurekAlert.org)