Lars Uebbing,
Harald Lykke Joakimsen,
Siyan Chen,
Georgios Leontidis,
Kristoffer Wickstrøm,
Michael Kampffmeyer
et al.:
NOFE – Neural Operator Function Embedding
Advances in Neural Information Processing Systems 39 2026
ARKIV
Valentina Corbetta,
Antonio Portaluri,
Muzhen He,
Daniël Boeke,
Regina Beets-Tan,
Veronica Lachi
et al.:
Beyond Clean Test Sets: Spurious Correlations in Medical Vision-language Models and the Role of Concept Supervision | MICCAI 2026 - Open Access
Lecture Notes in Computer Science 2026
ARKIV
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
Longitudinal Multi-View Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 2026
ARKIV
Zhiyuan Wu,
Changkyu Choi,
Shujian Yu,
Robert Jenssen,
Ali Ramezani-Kebrya
:
Mitigating Embedding Leakage via Latent Disruption with Controlled Reconstruction
Transactions on Machine Learning Research (TMLR) 2026
DOI /
ARKIV
Eirik Agnalt Østmo,
Keyur Radiya,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Karl Øyvind Mikalsen,
Robert Jenssen
:
Liver, vessel, and tumor segmentation from partially labeled CT and multi-label masked learning
Proceedings of Machine Learning Research (PMLR) 01. Jan 2026
ARKIV
Christian Salomonsen,
Luigi T. Luppino,
Fredrik Emil Aspheim,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Michael Kampffmeyer
et al.:
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging
EJNMMI Research 09. Mar 2026
DOI /
ARKIV
Bjørn Leth Møller,
Sepideh Amiri,
Christian Igel,
Kristoffer Wickstrøm,
Robert Jenssen,
Matthias Keicher
et al.:
NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks
Proceedings of Machine Learning Research (PMLR) 2025
DOI /
ARKIV
Durgesh Kumar Singh,
Sarina Thomas,
Qing Cao,
Michael Kampffmeyer,
Robert Jenssen,
Anne H Schistad Solberg
:
Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation
Dag Rune Olsen,
Jørgen Berge,
Bente Haug,
Robert Jenssen
:
En anbefaling til statsminister Støre
Robert Jenssen
:
AI in Science and Innovation - Neural Operator Function Embedding for Climate Data Visualisation
Robert Jenssen
:
RESHAPE, REPEAT & SEAL - Representation learning in XAI, uncertainty estimation & “protection” of learned representations
Robert Jenssen
:
KI som verktøy for raskere oppdagelse av hjertesykdommer
Robert Jenssen
:
Visual Intelligence for ø løse samfunnsutfordringer
Robert Jenssen
:
Visual Intelligence & [AI]^2
Robert Jenssen
:
Research opportunities Norway-Japan in AI from Visual Intelligence's viewpoint
Robert Jenssen
:
Visual Intelligence for Real-World Science and Applications
Robert Jenssen
:
On “Protecting” Embeddings from “Foundation Models” (FMs) and Embedding Functions for Earth Systems
Robert Jenssen
:
Visual Intelligence for Research-based Innovation in Image Analysis, XAI, and “Arctic AI"
Robert Jenssen
:
Deep Learning Based Breast Cancer Risk Prediction from Longitudinal Mammograms
Anniken Pedersen,
Robert Jenssen
:
NRK Radio-intervju om Japan-Norway Innovation Forum
Ingrid Wester Amundsen,
Robert Jenssen
:
NRK Radio-intervju om bærekraftige fiskerier
Erik Waagbø,
Robert Jenssen
:
TV-intervju om Northern Lights Deep Learning Conference 2026 på NRK
Ingrid Wester Amundsen,
Robert Jenssen,
Lara Elvevåg
:
Intervju om Northern Lights Deep Learning Conference på NRK Radio
Robert Jenssen,
Kristoffer Wickstrøm,
Anne Kjersti Fahlvik,
Cathrine Tegnander,
Line Eikvil,
Karianne Oldernes Tung
et al.:
Verdien av norsk KI-kompetanse, egne modeller og nasjonal innovasjonskraft?
Robert Jenssen,
Cecilie Myrseth,
Stian Jenssen,
Vegard Wennesland,
Jan Aarvold,
Bjørn Tore Markussen
:
Kunstig intelligens i Arktis: Hvordan kan KI bidra til motstandsdyktige samfunn og økt sikkerhet?
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
Longitudinal Multi-View Breast Cancer Risk Prediction
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
BCRBench: A Breast Cancer Risk Benchmark
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
Siyan Chen,
Kristoffer Wickstrøm,
Robert Jenssen
:
Evaluating AI-based Weather Forecasting Models for Local Wind Speed Prediction in Northern Norway
Elisabeth Wetzer,
Nils Olav Handegard,
Michael Kampffmeyer,
Robert Jenssen
:
Problem-Driven AI Methodology for Fisheries Innovation
Elisabeth Wetzer,
Changkyu Choi,
Robert Jenssen,
Nils Olav Handegard,
Lars O.E. Ebbesson
:
Artificial Intelligence for Sustainable Fisheries: Methods, Monitoring, and Practice
Robert Jenssen,
Line Eikvil,
Anne H Schistad Solberg,
Inger Solheim,
Petter Bjørklund
:
Visual Intelligence Annual Report 2025
Robert Jenssen
:
Hvordan brukes kunstig intelligens til å løse noen av vår tids største samfunnsutfordringer?
Robert Jenssen
:
Tyngdepunkt innen kunstig intelligens for forskningsdrevet innovasjon
Robert Jenssen
:
UiT sin forskningsvirkelighet med KI
Robert Jenssen
:
Cutting edge AI:Where mathematical neural networks, societal challenges, users and innovation meet
Robert Jenssen
:
Er KI relevant for sykepeiere?
Robert Jenssen
:
Leveraging Multimodality for Concept-based XAI Analysis of Vision Transformers
Robert Jenssen
:
Hva er KI - har vi noen konkurransefortrinn?
Robert Jenssen
:
Hva er KI?
Robert Jenssen
:
Visual Intelligence for Arctic
Robert Jenssen
:
Aspects of XAI in Neural Multimodal Learning
Robert Jenssen
:
Visual IntelligenceA centre for research-based innovation in AI
Robert Jenssen
:
Visual Intelligence for IcyAlert
Robert Jenssen
:
New innovations by deep learning research for vision and multimodal learning
Robert Jenssen
:
Neural Explanation Masks and Concept-based Analysis of ViTs
Robert Jenssen
:
Exploiting data acquisition knowledge for cardiac ultrasound andcontent-based CT image retrieval
Lars Uebbing,
Henrik Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE - Neural Operator Function Embedding
Lars Uebbing,
Harald Lykke Joakimsen,
Theodor Johannes Line Forgaard,
Michael Kampffmeyer,
Kristoffer Wickstrøm,
Sebastien Francois Lefevre
et al.:
Latent Field Reduction of Earth Observation Foundation Model
Johan Mylius-Kroken,
Elisabeth Wetzer,
Ali Ramezani-Kebrya,
Robert Jenssen,
Kristoffer Wickstrøm
:
geobin: Geometric Binning Estimator