Kristoffer K. Wickstrøm

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [
PRIME@MICCAI
Christian Salomonsen, Kristoffer K. Wickstrøm, Samuel Kuttner, Elisabeth Wetzer
2025 J jnl
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [
CoRR
Christian Salomonsen, Kristoffer K. Wickstrøm, Samuel Kuttner, Elisabeth Wetzer
2025 A* conf
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability.
AAAI
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2025 J jnl
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation.
CoRR
Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2024 J jnl
Explaining time series models using frequency masking.
CoRR
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
2024 J jnl
FLEXtime: Filterbank learning for explaining time series.
CoRR
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy S. Alstrøm
2024 J jnl
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability.
CoRR
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2023 J jnl
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy
Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023 J jnl
RELAX: Representation Learning Explainability.
Int. J. Comput. Vis.
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023 J jnl
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.
CoRR
Anna Hedström, Philine Lou Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
2023 — conf
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images.
MLSP
Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2023 J jnl
View it like a radiologist: Shifted windows for deep learning augmentation of CT images.
CoRR
Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2021 J jnl
RELAX: Representation Learning Explainability.
CoRR
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen