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Karl Øyvind Mikalsen
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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
1042017
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
1032018
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
482018
Noisy multi-label semi-supervised dimensionality reduction
KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen
Pattern Recognition 90, 257-270, 2019
342019
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
272018
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
192020
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
172019
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
132017
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
112022
Learning similarities between irregularly sampled short multivariate time series from EHRs
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ...
112016
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
72021
Learning compressed representations of blood samples time series with missing data
FM Bianchi, KØ Mikalsen, R Jenssen
arXiv preprint arXiv:1710.07547, 2017
72017
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
62018
Consensus clustering using knn mode seeking
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015
62015
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
32020
Relax: Representation learning explainability
KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, K Mikalsen, ...
International Journal of Computer Vision, 1-27, 2023
22023
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
22022
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
12021
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
12018
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Artikler 1–20