Karl Øyvind Mikalsen

41 papers B 1Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish. CoRR Ashenafi Zebene Woldaregay, Jørgen Aarmo Lund, Phuong Dinh Ngo, Mariyam Tayefi, Per Joel Burman, Stine Hansen, Martin Hylleholt Sillesen, Hercules Dalianis, Robert Jenssen, Lindsetmo Rolf Ole, Karl Øyvind Mikalsen
2025	J	`jnl`	Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation. CoRR Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2024	J	`jnl`	Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial. CoRR Taridzo Chomutare, Therese Olsen Svenning, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Andrius Budrionis, Kaisa Markljung, Lill Irene Hind, Torbjørn Torsvik, Karl Øyvind Mikalsen, Aleksandar Babic, Hercules Dalianis
2024	—	`conf`	Categorization of phenotype trajectories utilizing transformers on clinical time-series. ICMLT Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo
2024	J	`jnl`	Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model. Int. J. Medical Informatics Kjersti Mevik, Ashenafi Zebene Woldaregay, Alexander Ringdal, Karl Øyvind Mikalsen, Yuan Xu
2024	—	`conf`	Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen
2023	J	`jnl`	A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. Comput. Medical Imaging Graph. Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Approaching adverse event detection utilizing transformers on clinical time-series. CoRR Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo
2023	J	`jnl`	RELAX: Representation Learning Explainability. Int. J. Comput. Vis. Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
2022	J	`jnl`	A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. CoRR Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen
2022	J	`jnl`	Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	—	`conf`	The Kernelized Taylor Diagram. NAIS Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	The Kernelized Taylor Diagram. CoRR Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2021	J	`jnl`	On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. CoRR Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz
2021	J	`jnl`	RELAX: Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2021	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2020	J	`jnl`	A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen
2020	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2019	J	`jnl`	Learning representations of multivariate time series with missing data. Pattern Recognit. Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2019	J	`jnl`	Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Comput. Math. Methods Medicine Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2018	J	`jnl`	An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2018	—	`conf`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	B	`conf`	Learning compressed representations of blood samples time series with missing data. ESANN Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2018	J	`jnl`	Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Robust clustering using a kNN mode seeking ensemble. Pattern Recognit. Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
2018	J	`jnl`	Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognit. Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2018	—	`conf`	Towards deep anchor learning. BHI Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	—	`conf`	Using multi-anchors to identify patients suffering from multimorbidities. BIBM Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Isabel Caballero-López-Fando, Robert Jenssen
2017	J	`jnl`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Learning compressed representations of blood samples time series with missing data. CoRR Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2017	—	`conf`	The time series cluster kernel. MLSP Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data. CoRR Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
2015	—	`conf`	Consensus Clustering Using kNN Mode Seeking. SCIA Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen