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 RuizProfessor URJCVerifisert e-postadresse på urjc.es
Michael Christian KampffmeyerProfessor in Machine Learning, UiT the Arctic University of Norway, TromsøVerifisert e-postadresse på post.uit.no
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsVerifisert e-postadresse på uit.no
Kristoffer Knutsen WickstrømAssociate professor in machine learning at UiT The Arctic University of NorwayVerifisert e-postadresse på uit.no
Stein Olav SkrøvsethNorwegian Centre for E-health ResearchVerifisert e-postadresse på ehealthresearch.no
Sigurd LøkseResearch Scientist at NORCE Norwegian Research CentreVerifisert e-postadresse på norceresearch.no
Rolv-Ole LindsetmoUniversitetet i TromsøVerifisert e-postadresse på unn.no
Jonas Nordhaug MyhreSenior Researcher, Northern Research Institute NORCEVerifisert e-postadresse på uit.no
Ahcène BoubekkiPhysikalisch-Technische Bundesanstalt, Berlin, GermanyVerifisert e-postadresse på ptb.de
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
Daniel J. TrostenUiT - The Arctic University of NorwayVerifisert e-postadresse på uit.no
Andraz StozerFaculty of Medicine, University of Maribor, Slovenia; Center for Open Innovation and ResearchVerifisert e-postadresse på um.si
Gregor StiglicProfessor, University of Maribor, Faculty of Health SciencesVerifisert e-postadresse på um.si
Nino FijačkoUM FZVVerifisert e-postadresse på um.si
Uroš Maverfull 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

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Karl Øyvind Mikalsen

University Hospital of North Norway & UiT The Arctic University of Norway, Tromsø

Verifisert e-postadresse på uit.no

Machine learning deep learning artificial intelligence medical AI health data analytics


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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), 46226, 2017	158	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	121	2018
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	113	2022
Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019	86*	2019
Robust clustering using a kNN mode seeking ensemble JN Myhre, KØ Mikalsen, S Løkse, R Jenssen Pattern Recognition 76, 491-505, 2018	59	2018
Noisy multi-label semi-supervised dimensionality reduction KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen Pattern Recognition 90, 257-270, 2019	42	2019
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	39	2020
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	31	2018
Relax: Representation learning explainability KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, K Mikalsen, ... International Journal of Computer Vision, 1-27, 2023	27	2023
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 (1), 2059851, 2019	22	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	17	2017
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, ... Computerized Medical Imaging and Graphics 107, 102239, 2023	14	2023
Learning similarities between irregularly sampled short multivariate time series from EHRs KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ...	13	2016
Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review K Radiya, HL Joakimsen, KØ Mikalsen, EK Aahlin, RO Lindsetmo, ... European Radiology 33 (10), 6689-6717, 2023	11	2023
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	11	2021
Selective imputation for multivariate time series datasets with missing values A Blázquez-García, K Wickstrøm, S Yu, KØ Mikalsen, A Boubekki, ... IEEE Transactions on Knowledge and Data Engineering 35 (9), 9490-9501, 2023	10	2023
AI risk score on screening mammograms preceding breast cancer diagnosis M Larsen, CF Olstad, HW Koch, MA Martiniussen, SR Hoff, ... Radiology 309 (1), e230989, 2023	9	2023
Performance of an artificial intelligence system for breast cancer detection on screening mammograms from BreastScreen Norway M Larsen, CF Olstad, CI Lee, T Hovda, SR Hoff, MA Martiniussen, ... Radiology: Artificial Intelligence 6 (3), e230375, 2024	7	2024
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

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