Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.
You can find all Visual Intelligence papers by scrolling down on this page.
By authors:
Christian Salomonsen, Luigi T. Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen & Samuel Kuttner
Published in:
EJNMMI Res 16, 65 (2026)
on
March 9, 2026
By authors:
Durgesh Kumar Singh, Ahcene Boubekki, Robert Jenssen, Michael Kampffmeyer
Published in:
Pattern Recognition, vol 171, Part A, Article: 112117
on
March 3, 2026
By authors:
Preetraj Bhoodoo, Sarina Thomas, Elisabeth Wetzer, Anne H Schistad Solberg, Guy Ben-Yosef
Published in:
Northern Lights Deep Learning Conference 2026, Proceedings of Machine Learning Research (PMLR), 307
on
January 6, 2026
By authors:
Ingrid Utseth, Amund Hansen Vedal, Sarina Thomas, Line Eikvil
Published in:
Proceedings of the 7th Northern Lights Deep Learning Conference (NLDL), PMLR 307:439-447, 2026
on
January 6, 2026
By authors:
Iver Martinsen, Benjamin Ricaud, David Wade, Odd Kolbjørnsen, Fred Godtliebsen
Published in:
Artificial Intelligence in Geosciences, Volume 7, Issue 1, 2026
on
January 3, 2026
By authors:
Lars Uebbing, Harald Lykke Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Wickstrøm, Sebastien Francois Lefevre, Arnt Børre Salberg, Scott Hosking, Robert Jenssen
Published in:
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:245-254, 2025.
on
January 1, 2026
By authors:
Wickstrom, Kristoffer; Höhne, Marina; Hedström, Anna.
Published in:
Lecture Notes in Computer Science, vol 15643. Springer, 2025
on
December 5, 2025
By authors:
Noga Bar, Mariia Seleznova, Yotam Alexander, Gitta Astrid Hildegard Kutyniok, Raja Giryes
Published in:
Advances in Neural Information Processing Systems, NeurIPS 2025
on
December 3, 2025
By authors:
Maximilian Kiener, Jonas Bozenhard, Gitta Astrid Hildegard Kutyniok, Sven Nyholm
Published in:
AI Ethics 6, 27 (2026)
on
December 1, 2025
By authors:
Nikita Shvetsov, Thomas Karsten Kilvær, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo
Published in:
Computers in Biology and Medicine, Volume 199, 2025
on
December 1, 2025