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”.
Congratulations to Kristoffer Wickstrøm for receiving the Best Paper Award 2024 from the journal Pattern Recognition Letters!
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Professor Michael Kampffmeyer gave a presentation titled "Kunstig intelligens som forklarer hva den tenker" as part of a Norwegian Centre for E-Health Research Webinar (Norwegian dialogue).
I teorien ja, men i praksis fungerer det ikke slik.
EUGLOH students from partner institutions under the EUGLOH alliance can now apply for an exclusive mobility scholarship for the NLDL 2025 Winter School which covers travel, accommodation, and sustenance for successful applicants.
Visual Intelligence researchers represented the centre during Inspirasjonsdagen 2024. The event aimed to stimulate high school students' interest and curiosity for STEM and healthcare-related study programmes at UiT The Arctic University of Norway.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
PhD candidate Rwiddhi Chakraborty recently gave an invited research talk titled "Perspectives on Multimodal Reasoning" at the Pioneer Centre for AI at University of Copenhagen.
Visual Intelligence was represented at Frampeik 2024 by associate professor Elisabeth Wetzer. The event gathered student researchers at Verdensteatret in Tromsø for discussions around AI-related topics.
Registration for the Northern Lights Deep Learning Conference 2025 is now open. The general deadline for registration is January 1st 2025.
We happily welcome Jan Zavadil, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø in September 2024.
Visual Intelligence researchers participated in various dissemination activities throughout Forskningsdagene 2024. The activities aimed to disseminate general knowledge about deep learning and Visual Intelligence's research activities to the general public.
93 people from across the Visual Intelligence (VI) consortium gathered at Quality Airport Hotel Gardermoen for Visual Intelligence Days 2024, 24th to 25th of September.
Congratulations to Ghadi Al Hajj for successfully defending his PhD thesis and achieving the degree of Philosophiae Doctor at the University of Oslo on September 16th 2024!
Kommende søndag er det åpen dag på Nordnorsk vitensenter. Der lanseres vitensenteret siste nyvinning, en interaktiv utstilling basert på kunstig intelligens (KI).
Durgesh Kumar Singh is a PhD candidate at Visual Intelligence (VI) in Tromsø. He visited the University of Oslo and GE Vingmed Ultrasound from May to June 2024.
Maskinlæringsgruppen på UiT og SFI Visual Intelligence har arbeidet med å lage en utstilling som skal øke barns interesse, nysgjerrighet, og forståelse for kunstig intelligens. Nå vil den være utstillingsklar under et åpent familiearrangement på Nordnorsk vitensenter 22 september
Forskere har trent opp kunstig intelligens til å finne og kategorisere mikrofossiler. De tror arbeidet kan bli til stor nytte for geologer verden over (Norwegian news story at forskning.no).
Associate professor Kristoffer Wickstrøm represented Visual Intelligence at Nordnorsk ingeniørkonferanse 2024.
We happily welcome Christian Salomonsen, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø.
I fremtiden kan leger og sykepleiere få hjelp av kunstig intelligens med å gjøre jobben sin. Men hvordan? En KI-forsker forklarer.