Kaare B. Mikkelsen

According to our database, Kaare B. Mikkelsen authored at least 26 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unsupervised domain transfer: Overcoming signal degradation in sleep monitoring by increasing scoring realism.

Mohammad Ahangarkiasari, Andreas Tind Damgaard, Casper Haurum, Kaare B. Mikkelsen

CoRR, April, 2026

Fully-automated sleep staging: multicenter validation of a generalizable deep neural network for Parkinson's disease and isolated REM sleep behavior disorder.

Jesper Strøm, Casper Skjærbæk, Natasha B. Bertelsen, Steffen Torpe Simonsen, Niels Okkels, David Bertram, Sinah Röttgen, Konstantin Kufer, Kaare B. Mikkelsen, Marit Otto, Poul Jørgen Jennum, Per Borghammer, Michael Sommerauer, Preben Kidmose

CoRR, February, 2026

2025

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard M. Köhler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Kaare B. Mikkelsen, Amaia Benitez Andonegui, Thomas Hartmann, Aaron Earle-Richardson, William F. Turner, Christian O'Reilly, Berk Gerçek, Matthias Dold, Harrison Ritz, Alex Lopez Marquez, Nathan Azrak, Bruno Aristimunha, Kalle Mäkelä, Alexandre Gramfort, Mainak Jas

Dataset, December, 2025

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard M. Köhler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Kaare B. Mikkelsen, Amaia Benitez Andonegui, Thomas Hartmann, Aaron Earle-Richardson, William F. Turner, Christian O'Reilly, Berk Gerçek, Matthias Dold, Harrison Ritz, Nathan Azrak, Alexandre Gramfort, Mainak Jas

Dataset, September, 2025

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard M. Köhler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Kaare B. Mikkelsen, Amaia Benitez Andonegui, Thomas Hartmann, Aaron Earle-Richardson, William F. Turner, Christian O'Reilly, Berk Gerçek, Matthias Dold, Harrison Ritz, Nathan Azrak, Alexandre Gramfort, Mainak Jas

Dataset, September, 2025

2024

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard M. Köhler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Kaare B. Mikkelsen, Amaia Benitez Andonegui, Thomas Hartmann, Aaron Earle-Richardson, William F. Turner, Alexandre Gramfort, Mainak Jas

Dataset, November, 2024

Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG.

Kristian P. Lorenzen, Elisabeth R. M. Heremans, Maarten De Vos, Kaare B. Mikkelsen

IEEE J. Biomed. Health Informatics, October, 2024

Single-word Auditory Attention Decoding Using Deep Learning Model.

Nhan Duc Thanh Nguyen, Huy Phan, Kaare B. Mikkelsen, Preben Kidmose

CoRR, 2024

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding.

Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare B. Mikkelsen, Preben Kidmose

CoRR, 2024

2023

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.

Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos

IEEE J. Biomed. Health Informatics, October, 2023

Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data.

Kenneth Borup, Preben Kidmose, Huy Phan, Kaare B. Mikkelsen

Biomed. Signal Process. Control., March, 2023

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging.

Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos

CoRR, 2023

2022

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.

Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos

IEEE Trans. Biomed. Eng., 2022

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations.

Kaare B. Mikkelsen, Huy Phan, Mike Lind Rank, Martin Christian Hemmsen, Maarten De Vos, Preben Kidmose

IEEE Trans. Biomed. Eng., 2022

Self-applied ear-EEG for sleep monitoring at home.

Kaare B. Mikkelsen, Yousef Rezaei Tabar, Hans Olaf Toft, Martin Christian Hemmsen, Mike Lind Rank, Preben Kidmose

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

EEGs Vary Less Between Lab and Home Locations Than They Do Between People.

Kaare B. Mikkelsen, Yousef Rezaei Tabar, Christian Bech Christensen, Preben Kidmose

Frontiers Comput. Neurosci., 2021

Automatic Sleep Staging: Recent Development, Challenges, and Future Directions.

Huy Phan, Kaare B. Mikkelsen

CoRR, 2021

Investigation of low dimensional feature spaces for automatic sleep staging.

Yousef Rezaei Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose

Comput. Methods Programs Biomed., 2021

2020

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization.

Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos

CoRR, 2020

Muscle Activity Detection during Sleep by Ear-EEG.

Yousef Rezaei Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Sleep Classification Performance without Labels.

Kaare B. Mikkelsen, Yousef Rezaei Tabar, Preben Kidmose

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Discrimination of Sleep Spindles in Ear-EEG.

Kaare B. Mikkelsen, Simon Lind Kappel, Martin Christian Hemmsen, Mike Lind Rank, Preben Kidmose

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Generic Dry-Contact Ear-EEG.

Astrid Rands Bertelsen, Henriette Bladt, Christian Bech Christensen, Simon Lind Kappel, Hans Olaf Toft, Mike Lind Rank, Kaare B. Mikkelsen, Preben Kidmose

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016

Threshold games and cooperation on multiplayer graphs.

Kaare B. Mikkelsen, Lars Arve Bach

CoRR, 2016

Automatic sleep stage classification using ear-EEG.

Andreas Stochholm, Kaare B. Mikkelsen, Preben Kidmose

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Reference configurations for ear-EEG steady-state responses.

Simon Lind Kappel, Christian Bech Christensen, Kaare B. Mikkelsen, Preben Kidmose

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016