Articles with public access mandates - Karl Øyvind MikalsenLearn more
Not available anywhere: 1
Using multi-anchors to identify patients suffering from multimorbidities
K yvind Mikalsen, C Soguero-Ruiz, I Mora-Jimenez, ICL Fando, ...
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
Mandates: Research Council of Norway, Government of Spain
Available somewhere: 21
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
Mandates: Research Council of Norway, Government of Spain
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
Mandates: Research Council of Norway
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada, Research …
Robust clustering using a kNN mode seeking ensemble
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Pattern Recognition 76, 491-505, 2018
Mandates: Research Council of Norway
Noisy multi-label semi-supervised dimensionality reduction
KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen
Pattern Recognition 90, 257-270, 2019
Mandates: Government of Spain
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
Mandates: Research Council of Norway
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
Mandates: Research Council of Norway, Government of Spain
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
Mandates: Slovenian Research Agency, Research Council of Norway, Government of Spain
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
Mandates: Research Council of Norway, Government of Spain
Relax: Representation learning explainability
KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, K Mikalsen, ...
International Journal of Computer Vision, 1-27, 2023
Mandates: Research Council of Norway
Learning similarities between irregularly sampled short multivariate time series from EHRs
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ...
Mandates: Research Council of Norway, Government of Spain
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
Mandates: Research Council of Norway
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
Mandates: Research Council of Norway, Government of Spain
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
Mandates: European Commission, Research Council of Norway, Government of Spain
Clinically relevant features for predicting the severity of surgical site infections
A Boubekki, J Nordhaug Myhre, LT Luppino, KØ Mikalsen, A Revhaug, ...
IEEE Journal of Biomedical and Health Informatics, 2021
Mandates: Research Council of Norway
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
Mandates: Research Council of Norway
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
Mandates: Research Council of Norway, Government of Spain
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
T Chomutare, A Lamproudis, A Budrionis, TO Svenning, LI Hind, PD Ngo, ...
JMIR Research Protocols 13 (1), e54593, 2024
Mandates: Research Council of Norway
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text
JA Lund, KØ Mikalsen, J Burman, AZ Woldaregay, R Jenssen
Northern Lights Deep Learning Conference, 145-152, 2024
Mandates: Research Council of Norway
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