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
Jing Wang,
Songhe Feng,
Jiacheng Li,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-view Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence 14. July 2026
DOI /
ARKIV
Anna Emilie Jennow Wedenborg,
Kristoffer Wickstrøm,
Lars Kai Hansen,
Morten Mørup,
Teresa Dorszewski
:
Explaining Latent Representations of Neural Networks with Archetypal Analysis
Proceedings of Machine Learning Research (PMLR) 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. January 2026
ARKIV
Dina Svendsen Solskinnsbakk,
Sigurd Almli Hanssen,
Harald Lykke Joakimsen,
Vilde Benoni Gjærum,
Elisabeth Wetzer,
Kristoffer Wickstrøm
:
Reducing Manual Workload in SAR-Based Oil Spill Detection Through Uncertainty-Aware Deep Learning
Proceedings of Machine Learning Research (PMLR) 01. January 2026
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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. March 2026
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ARKIV
Corbetta, Valentina,
Dijkstra, Floris Six,
Beets-Tan, Regina,
Kervadec, Hoel,
Kristoffer Wickstrøm,
Silva, Wilson
:
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2025
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
Thea Brüsch,
Kristoffer Wickstrøm,
Mikkel N. Schmidt,
Tommy Sonne Alstrøm,
Robert Jenssen
:
FreqRISE: Explaining time series using frequency masking
Proceedings of Machine Learning Research (PMLR) 2025
DOI /
ARKIV
Thea Brüsch,
Kristoffer Wickstrøm,
Mikkel N. Schmidt,
Robert Jenssen,
Tommy Sonne Alstrøm
:
FLEXtime: Filterbank Learning to Explain Time Series
Communications in Computer and Information Science (CCIS) 14. October 2025
DOI /
ARKIV
Teresa Dorszewski,
Lenka Tětková,
Robert Jenssen,
Lars Kai Hansen,
Kristoffer Knutsen Wickstrøm
:
From Colors to Classes: Emergence of Concepts in Vision Transformers
Communications in Computer and Information Science (CCIS) 12. October 2025
DOI /
ARKIV
Jing Wang,
Songhe Feng,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
Computer Vision and Pattern Recognition 2025
DOI /
ARKIV
Duy Khoi Tran,
Van Nhan Nguyen,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection
International Journal of Electrical Power & Energy Systems 01. October 2025
DOI /
ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 20. September 2025
DOI /
ARKIV
Kristoffer Wickstrøm,
Marina Marie-Claire Höhne,
Hedström, Anna
:
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation | SpringerLink
Lecture Notes in Computer Science (LNCS) 2025
DOI /
ARKIV
Kristoffer Wickstrøm,
Thea Brüsch,
Michael Kampffmeyer,
Robert Jenssen
:
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
| Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence 11. April 2025
DOI /
ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Luigi Tommaso Luppino,
Iver Martinsen,
Andrew McDonald,
Kristoffer Wickstrøm
et al.:
Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
Proceedings of Machine Learning Research (PMLR) 2025
DOI /
ARKIV
Ingrid Wester Amundsen,
Kristoffer Wickstrøm
:
NRK Radio-intervju om KI og dommedag
Ingrid Wester Amundsen,
Kristoffer Wickstrøm,
Vibeke Os
:
NRK Radio-intervju om KI-dagen på UiT
Torkil Stoltz,
Kristoffer Wickstrøm
:
NRK-intervju om KI-dagen på UiT
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?
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
Kristoffer Wickstrøm
:
Intrinsic Information Theoretic Analysis of ReLU Nets
Kristoffer Wickstrøm
:
AI: What is it, what can it do, and what can it not do?
Kristoffer Wickstrøm
:
Kunstig intelligens og fremtiden for administrative tjenester
Kristoffer Wickstrøm
:
Label-efficient computer vision through few-shot learning
Johan Mylius-Kroken,
Kristoffer Wickstrøm
:
Best of Both Worlds: Scientific Computing Across Multiple Languages — A Julia and Python Case Study
Kristoffer Wickstrøm
:
Kunstig intelligens akkurat nå - og hva det kan bety for universitetsbiblioteker
Siyan Chen,
Kristoffer Wickstrøm,
Robert Jenssen
:
Evaluating AI-based Weather Forecasting Models for Local Wind Speed Prediction in Northern Norway
Elisabeth Wetzer,
Gregor Decristoforo,
Kristoffer Wickstrøm
:
Collaborative Coding and Reproducible Research: A Three-Year Course Retrospective
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
Christian Salomonsen,
Samuel Kuttner,
Michael Kampffmeyer,
Robert Jenssen,
Kristoffer Wickstrøm,
Jong Chul Ye
et al.:
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
Christian Salomonsen,
Samuel Kuttner,
Michael Kampffmeyer,
Robert Jenssen,
Kristoffer Wickstrøm,
Jong Chul Ye
et al.:
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
Medical imaging meets Eurips (MedEurIPS) 07. December 2025
DOI /
ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
Christian Salomonsen,
Kristoffer Wickstrøm,
Samuel Kuttner,
Elisabeth Wetzer
:
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F]FDG PET Images
Christian Salomonsen,
Kristoffer Wickstrøm,
Samuel Kuttner,
Elisabeth Wetzer
:
Physics-informed deep learning for improved input function estimation in motion-blurred dynamic [18F]FDG PET images
Johan Mylius-Kroken,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Ali Ramezani-Kebrya,
Robert Jenssen
:
Can a Convex Partition caused by a CPWL Neural Network be used for Density Estimation?
National conference on image processing and machine learnin 2025
ARKIV
Christian Salomonsen,
Kristoffer Wickstrøm,
Samuel Kuttner,
Elisabeth Wetzer
:
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F]FDG PET Images
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE - Neural Operator Function Embedding
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE Neural Operator Function Embedding
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Simen Strømme,
Kristoffer Wickstrøm,
Kristoffer Søvik,
Geir Lippestad,
Johannes Bergh
:
Politiske partier har lansert KI-chatboter
Elisabeth Wetzer,
Youssef Wally,
Artem Galushko,
Elisavet Kozyri,
Kristoffer Wickstrøm
:
How to Tackle Bias and Protect Privacy in the Age of AI?
Christian Salomonsen,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Samuel Kuttner
:
Physics-Informed Machine Learning for dynamic PET modeling