Karl Øyvind Mikalsen

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Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPHVerifisert e-postadresse på uit.no
Cristina Soguero RuizAssociate Professor URJCVerifisert e-postadresse på urjc.es
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsVerifisert e-postadresse på uit.no
Michael Christian KampffmeyerAssociate Professor in Machine Learning, UiT the Arctic University of Norway, TromsøVerifisert e-postadresse på post.uit.no
Stein Olav SkrøvsethNorwegian Centre for E-health ResearchVerifisert e-postadresse på ehealthresearch.no
Rolv-Ole LindsetmoUniversitetet i TromsøVerifisert e-postadresse på unn.no
Kristoffer WickstrømPostdoctoral research fellow at UiT Machine Learning GroupVerifisert e-postadresse på uit.no
Sigurd LøksePostdoctoral Research Fellow at UiT The Arctic University of NorwayVerifisert e-postadresse på uit.no
Jonas Nordhaug MyhreSenior Researcher, Northern Research Institute NORCEVerifisert e-postadresse på uit.no
Lorenzo LiviUniversity of Manitoba and University of ExeterVerifisert e-postadresse på umanitoba.ca
Irene KouskoumvekakiTechnical University of DenmarkVerifisert e-postadresse på cbs.dtu.dk
Mark GirolamiUniversity of CambridgeVerifisert e-postadresse på cam.ac.uk
Andreas StraumanUiT The Arctic University of NorwayVerifisert e-postadresse på strauman.net
Andraz StozerFaculty of Medicine, University of Maribor, Slovenia; Center for Open Innovation and ResearchVerifisert e-postadresse på um.si
Gregor StiglicAssociate Professor, University of Maribor, Faculty of Health ScienceVerifisert e-postadresse på um.si
Nino FijačkoUM FZVVerifisert e-postadresse på um.si
Uroš Maverassociate professor, Faculty of Medicine, University of MariborVerifisert e-postadresse på um.si
Petra Povalej BrzanAssistant Professor, Faculty of Medicine & Faculty of Electrical Engineering and Computer ScienceVerifisert e-postadresse på um.si
Primoz KocbekUniversity of Maribor, Faculty of Health SciencesVerifisert e-postadresse på um.si
Fred GodtliebsenUniversity of TromsøVerifisert e-postadresse på uit.no

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Karl Øyvind Mikalsen

UiT The Arctic University of Norway, Tromsø

Verifisert e-postadresse på uit.no

Machine learning kernel methods clinical artificial intelligence health data analytics time series analysis


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Analysis of free text in electronic health records for identification of cancer patient trajectories K Jensen, C Soguero-Ruiz, K Oyvind Mikalsen, RO Lindsetmo, ... Scientific reports 7 (1), 1-12, 2017	104	2017
Time series cluster kernel for learning similarities between multivariate time series with missing data KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen Pattern Recognition 76, 569-581, 2018	103	2018
Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019	59*	2019
Robust clustering using a kNN mode seeking ensemble JN Myhre, KØ Mikalsen, S Løkse, R Jenssen Pattern Recognition 76, 491-505, 2018	48	2018
Noisy multi-label semi-supervised dimensionality reduction KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen Pattern Recognition 90, 257-270, 2019	34	2019
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks AS Strauman, FM Bianchi, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, ... 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018	27	2018
Uncertainty-aware deep ensembles for reliable and explainable predictions of clinical time series K Wickstrøm, KØ Mikalsen, M Kampffmeyer, A Revhaug, R Jenssen IEEE Journal of Biomedical and Health Informatics 25 (7), 2435-2444, 2020	19	2020
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative … P Kocbek, N Fijacko, C Soguero-Ruiz, KØ Mikalsen, U Maver, ... Computational and Mathematical Methods in Medicine 2019, 2019	17	2019
Using anchors from free text in electronic health records to diagnose postoperative delirium KØ Mikalsen, C Soguero-Ruiz, K Jensen, K Hindberg, M Gran, ... Computer Methods and Programs in Biomedicine 152, 105-114, 2017	13	2017
Mixing up contrastive learning: Self-supervised representation learning for time series K Wickstrøm, M Kampffmeyer, KØ Mikalsen, R Jenssen Pattern Recognition Letters 155, 54-61, 2022	11	2022
Learning similarities between irregularly sampled short multivariate time series from EHRs KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ...	11	2016
Time series cluster kernels to exploit informative missingness and incomplete label information KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen Pattern Recognition, 107896, 2021	7	2021
Learning compressed representations of blood samples time series with missing data FM Bianchi, KØ Mikalsen, R Jenssen arXiv preprint arXiv:1710.07547, 2017	7	2017
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen arXiv preprint arXiv:1803.07879, 2018	6	2018
Consensus clustering using knn mode seeking JN Myhre, KØ Mikalsen, S Løkse, R Jenssen Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015	6	2015
A kernel to exploit informative missingness in multivariate time series from EHRs KØ Mikalsen, C Soguero-Ruiz, R Jenssen Explainable AI in Healthcare and Medicine: Building a Culture of …, 2020	3	2020
Relax: Representation learning explainability KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, K Mikalsen, ... International Journal of Computer Vision, 1-27, 2023	2	2023
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images KK Wickstrøm, EA Østmo, K Radiya, KØ Mikalsen, MC Kampffmeyer, ... arXiv preprint arXiv:2207.04812, 2022	2	2022
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit Ó Escudero-Arnanz, J Rodríguez-Álvarez, KØ Mikalsen, R Jenssen, ... arXiv preprint arXiv:2107.10398, 2021	1	2021
Towards deep anchor learning MA Hansen, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, R Jenssen 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018	1	2018

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