Kristoffer Wickstrøm

Author

UiT The Arctic University of Norway ORCID

Also Known As

Kristoffer K. Wickstrøm, Kristoffer Knutsen Wickstrøm, Kristoffer Wickstrom, Kristoffer WickstrÃ¸m, Kristoffer Wickstrøm, Wickstrøm, Kristoffer, Wickstrøm, Kristoffer K., Wickstrøm, Kristoffer Knutsen

Publications

752

Citations

H-Index

Concepts

All Affiliations

UiT The Arctic University of Norway University Hospital of North Norway Norwegian Computing Center University of Copenhagen University of Florida

About

Kristoffer Wickstrøm is an author at UiT The Arctic University of Norway specializing in deep learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	118
2	Computer Science	3	3	118
3	Data Science	3	3	118
4	Health Sciences	1	1	40
5	Medicine	1	1	55

Kristoffer Wickstrøm

Publications

671

Citations

H-Index

Page 1

	Year	Citations
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen Medical Image Analysis	2019	176
Mixing up contrastive learning: Self-supervised representation learning for time series Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Pattern Recognition Letters	2022	96
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, IEEE Transactions on Neural Networks and Learning Systems	2020	79
Auroral Image Classification With Deep Neural Networks Andreas Kvammen, Kristoffer Wickstrøm, D. J. McKay, Journal of Geophysical Research Space Physics Convolutional Neural NetworkEngineeringMachine LearningImage ClassificationImage Analysis	2020	55
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, IEEE Journal of Biomedical and Health Informatics	2020	43
UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningObject Segmentation	2018	40
Cerebral blood flow measurements with <sup>15</sup>O-water PET using a non-invasive machine-learning-derived arterial input function Samuel Kuttner, Kristoffer Wickstrøm, Mark Lubberink, Journal of Cerebral Blood Flow & Metabolism	2021	35
Machine learning derived input-function in a dynamic <sup>18</sup> F-FDG PET study of mice Samuel Kuttner, Kristoffer Wickstrøm, Gustav Kalda, Biomedical Physics & Engineering Express	2019	28
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, arXiv (Cornell University) Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2019	23
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løksc,	2023	23

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