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”.
Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway
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Andre uka i januar samles forskere fra hele verden i Tromsø for å dele og lære om siste nytt innen forskning på kunstig intelligens.
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2024 has been a year full of exciting events and accomplishments, and we look forward to continuing our journey on researching the next generation of deep learning methodology in 2025!
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Congratulations to Rwiddhi Chakraborty for successfully defending his PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway on December 13th 2024.
The graph community in Tromsø gathered on November 27th for the northernmost "Learning on Graph" Conference meetup.
Centre director Robert Jenssen recently gave a talk about the use and benefits of AI technologies during Pasientsikkerhetskonferansen 2024
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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.