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Kristoffer Wickstrøm

Observed names: Kristoffer K. Wickstrom, Kristoffer K. Wickstrøm, Kristoffer Knutsen Wickstrøm, Kristoffer Wickstrom, Wickstrøm, Kristoffer, Wickstrøm, Kristoffer, Wickstrøm, Kristoffer K., Wickstrøm, Kristoffer Knutsen, Wickstrøm, Kristoffer, K.
ORCID: 0000-0003-1395-7154
Observed ORCID: 0000-0003-1395-7154
OpenAlex ID: A5031748191
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
2019 · Kristoffer Wickstrøm, Michael Kampffmeyer, et al. · Medical Image Analysis · 185
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Mixing up contrastive learning: Self-supervised representation learning for time series
2022 · Kristoffer Wickstrøm, Michael Kampffmeyer, et al. · Pattern Recognition Letters · 113
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Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration
2020 · Shujian Yu, Kristoffer Wickstrom, et al. · IEEE Transactions on Neural Networks and Learning Systems · 82
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Auroral Image Classification With Deep Neural Networks
2020 · Andreas Kvammen, Kristoffer Wickstrøm, et al. · Journal of Geophysical Research Space Physics · 65
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Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
2020 · Kristoffer Wickstrom, Karl Oyvind Mikalsen, et al. · IEEE Journal of Biomedical and Health Informatics · 51
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SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks
2020 · Van Nhan Nguyen, Sigurd Løkse, et al. · Lecture notes in computer science · 42
Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation
2018 · Kristoffer Wickstrom, Michael Kampffmeyer, et al. · IEEE International Workshop on Machine Learning for Signal Processing (MLSP) · 41
Cerebral blood flow measurements with 15 O-water PET using a non-invasive machine-learning-derived arterial input function
2021 · Samuel Kuttner, Kristoffer Knutsen Wickstrøm, et al. · Journal of Cerebral Blood Flow & Metabolism · 38
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Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings
2023 · Daniel J. Trosten, Rwiddhi Chakraborty, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 30
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Machine learning derived input-function in a dynamic 18 F-FDG PET study of mice
2019 · Samuel Kuttner, Kristoffer Knutsen Wickstrøm, et al. · Biomedical Physics & Engineering Express · 26
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
2023 · Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, et al. · Computerized Medical Imaging and Graphics · 25
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Selective Imputation for Multivariate Time Series Datasets With Missing Values
2023 · Ane Blázquez-García, Kristoffer Wickstrøm, et al. · IEEE Transactions on Knowledge and Data Engineering · 24
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels
2019 · Wickstrøm, Kristoffer, Løkse, Sigurd, et al. · arXiv (Cornell University) · 23
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Machine learning detection of dust impact signals observed by the Solar Orbiter
2023 · Andreas Kvammen, Kristoffer Wickstrøm, et al. · Annales Geophysicae · 16
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RELAX: Representation Learning Explainability
2023 · Kristoffer K. Wickstrøm, Daniel J. Trosten, et al. · International Journal of Computer Vision · 15
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The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
2023 · Hedström, Anna, Bommer, Philine, et al. · arXiv (Cornell University) · 9
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From Colors to Classes: Emergence of Concepts in Vision Transformers
2025 · Teresa Dorszewski, Lenka Tětková, et al. · Communications in computer and information science · 7
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AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
2025 · Jing Wang, Songhe Feng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 6
The Kernelized Taylor Diagram
2022 · Kristoffer Wickstrøm, J. Emmanuel Johnson, et al. · Communications in computer and information science · 6
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View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images
2023 · Eirik A. Østmo, Kristoffer K. Wickstrøm, et al. · IEEE International Workshop on Machine Learning for Signal Processing (MLSP) · 5
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From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
2025 · Kristoffer Wickstrøm, Marina Höhne, et al. · Lecture notes in computer science · 4
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Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
2025 · Solveig Thrun, Stine Hansen, et al. · Lecture notes in computer science · 2
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In-Hoc Concept Representations to Regularise Deep Learning in Medical Imaging
2025 · Valentina Corbetta, Floris Six Dijkstra, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 1
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Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
2023 · Kristoffer K. Wickstrøm, Sigurd Løkse, et al. · Entropy · 1
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Replication Data for: Auroral Image Classification with Deep Neural Networks
2020 · Kvammen, Andreas, Wickstrøm, Kristoffer, et al. · DataverseNO · 1
Works count: 68
Citation count: 818
H-index: 15
I10-index: 15
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