KW
Kristoffer Wickstrøm
cs.LGcs.CVstat.MLcs.AIeess.IVAlgorithmsq-bio.QM15O-water PETArterial input functionArterial input function prediction
On Valency
published · living versionsW_h8j28mz2·v1 · currentpublished
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway
with Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen, Georgios Leontidis +3
1 version
Preprints & journals
36 papers in the corpus · 2018–2026AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-View Clustering.42447016 · Wang, Jing, Feng, Songhe, Li, Jiacheng et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(11):14138-14154
Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories2610.16329v1 · Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin et al.2026 · 0 citationsarXiv
The Polytopal Neural Network2610.12004v1 · A. Emilie J. Wedenborg, Anders V. N\orskov, Teresa Dorszewski et al.2026 · 0 citationsarXiv
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway2609.10564v1 · Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen et al.2026 · 0 citationsarXivon Valency
Longitudinal Multi-View Breast Cancer Risk Prediction2607.11343v1 · Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin et al.2026 · 0 citationsarXiv
ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization2606.13277v1 · Aitor S'anchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstr\om et al.2026 · 0 citationsarXiv
NOFE - Neural Operator Function Embedding2605.11970v2 · Lars Uebbing, Harald L. Joakimsen, Siyan Chen et al.2026 · 0 citationsarXiv
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging.41803557 · Salomonsen, Christian, Luppino, Luigi T, Aspheim, Fredrik et al.2026 · 0 citationsEJNMMI research. 2026;16(1)
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training2512.17891v1 · Kristoffer Wickstr\om, Teresa Dorszewski, Siyan Chen et al.2025 · 0 citationsarXiv
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment2511.08328v2 · Solveig Thrun, Stine Hansen, Zijun Sun et al.2025 · 0 citationsarXiv
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN2510.23140v1 · Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer et al.2025 · 0 citationsarXiv
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [F]FDG PET Images2510.21281v1 · Christian Salomonsen, Kristoffer K. Wickstr\om, Samuel Kuttner et al.2025 · 0 citationsarXiv
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation2510.08116v1 · Eirik A. \Ostmo, Kristoffer K. Wickstr\om, Keyur Radiya et al.2025 · 0 citationsarXiv
Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models2509.21102v1 · Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen et al.2025 · 0 citationsarXiv
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging2508.13880v1 · Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan et al.2025 · 1 citationarXiv
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal FDG PET imaging2507.02367v2 · Christian Salomonsen, Luigi T Luppino, Fredrik Aspheim et al.2025 · 1 citationarXiv
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction2506.19363v1 · Solveig Thrun, Stine Hansen, Zijun Sun et al.2025 · 2 citationsarXiv
From Colors to Classes: Emergence of Concepts in Vision Transformers2503.24071v1 · Teresa Dorszewski, Lenka Tetkov'a, Robert Jenssen et al.2025 · 8 citationsarXiv
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability2412.08513v1 · Kristoffer K. Wickstr\om, Thea Brusch, Michael C. Kampffmeyer et al.2024 · 0 citationsarXiv
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation2412.05592v1 · Kristoffer Wickstr\om, Marina Marie-Claire Hohne, Anna Hedstrom2024 · 4 citationsarXiv
FLEXtime: Filterbank learning to explain time series2411.05841v3 · Thea Brusch, Kristoffer K. Wickstr\om, Mikkel N. Schmidt et al.2024 · 0 citationsarXiv
FreqRISE: Explaining time series using frequency masking2406.13584v2 · Thea Brusch, Kristoffer Knutsen Wickstr\om, Mikkel N. Schmidt et al.2024 · 0 citationsarXiv
View it like a radiologist: Shifted windows for deep learning augmentation of CT images2311.14990v1 · Eirik A. \Ostmo, Kristoffer K. Wickstr\om, Keyur Radiya et al.2023 · 5 citations2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 1-6
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.37372243 · Wickstrøm, Kristoffer K, Løkse, Sigurd, Kampffmeyer, Michael C et al.2023 · 1 citationEntropy (Basel, Switzerland). 2023;25(6)
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.37207397 · Wickstrøm, Kristoffer Knutsen, Østmo, Eirik Agnalt, Radiya, Keyur et al.2023 · 25 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2023;107:102239
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings2303.09352v1 · Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd L\okse et al.2023 · 30 citationsarXiv
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus2302.07265v2 · Anna Hedstrom, Philine Bommer, Kristoffer K. Wickstr\om et al.2023 · 9 citationsTransactions on Machine Learning Research, Volume 2023, (2023), ISSN: 2835-8856
The Kernelized Taylor Diagram2205.08864v1 · Kristoffer Wickstr\om, J. Emmanuel Johnson, Sigurd L\okse et al.2022 · 6 citationsarXiv
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series2203.09270v1 · Kristoffer Wickstr\om, Michael Kampffmeyer, Karl \Oyvind Mikalsen et al.2022 · 113 citationsarXiv
RELAX: Representation Learning Explainability2112.10161v2 · Kristoffer K. Wickstr\om, Daniel J. Trosten, Sigurd L\okse et al.2021 · 15 citationsarXiv
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.33284756 · Wickstrom, Kristoffer, Mikalsen, Karl Oyvind, Kampffmeyer, Michael et al.2021 · 51 citationsIEEE journal of biomedical and health informatics. 2021;25(7):2435-2444
Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function.33557691 · Kuttner, Samuel, Wickstrøm, Kristoffer Knutsen, Lubberink, Mark et al.2021 · 38 citationsJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2021;41(9):2229-2241
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration.32071010 · Yu, Shujian, Wickstrom, Kristoffer, Jenssen, Robert et al.2021 · 82 citationsIEEE transactions on neural networks and learning systems. 2021;32(1):435-442
Machine learning derived input-function in a dynamic 18F-FDG PET study of mice.33438608 · Kuttner, Samuel, Wickstrøm, Kristoffer Knutsen, Kalda, Gustav et al.2021 · 26 citationsBiomedical physics & engineering express. 2020;6(1):015020
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.31810005 · Wickstrøm, Kristoffer, Kampffmeyer, Michael, Jenssen, Robert2021 · 185 citationsMedical image analysis. 2020;60:101619
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels1909.11396v1 · Kristoffer Wickstr\om, Sigurd L\okse, Michael Kampffmeyer et al.2019 · 23 citationsarXiv
Career total: 67 works. 36 are in this corpus.
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