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ORCIDPoul Jennum
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- affiliation: Rigshospitalet, Danish Center for Sleep Medicine, Denmark
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Journal Articles
- 2023
[j7]Mads Olsen
, Jamie M. Zeitzer, Risa N. Richardson, Polina Davidenko, Poul J. Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography. IEEE Trans. Biomed. Eng. 70(1): 228-237 (2023)- [j6]Alexander Neergaard Zahid, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
MSED: A Multi-Modal Sleep Event Detection Model for Clinical Sleep Analysis. IEEE Trans. Biomed. Eng. 70(9): 2508-2518 (2023) - [j5]Katarina Mary Gunter, Andreas Brink-Kjær, Emmanuel Mignot, Helge B. D. Sørensen, Emmanuel During, Poul Jennum:
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior Disorder. IEEE J. Biomed. Health Informatics 27(9): 4285-4292 (2023) - 2022
- [j4]Andreas Brink-Kjaer, Eileen B. Leary, Haoqi Sun, M. Brandon Westover, Katie L. Stone, Paul E. Peppard, Nancy E. Lane, Peggy M. Cawthon, Susan Redline, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit. Medicine 5 (2022) - 2021
- [j3]Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel:
U-Sleep: resilient high-frequency sleep staging. npj Digit. Medicine 4 (2021) - [j2]Umaer Hanif, Eileen B. Leary, Logan D. Schneider, Rasmus R. Paulsen, Anne Marie Morse, Adam Blackman, Paula K. Schweitzer, Clete Kushida, Stanley Y. Liu, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans. IEEE J. Biomed. Health Informatics 25(11): 4185-4194 (2021) - 1999
- [j1]N. B. Finnerup, Anders Fuglsang-Frederiksen, P. Røssel, Poul Jennum:
A computer-based information system for epilepsy and electroencephalography. Int. J. Medical Informatics 55(2): 127-134 (1999)
Conference and Workshop Papers
- 2023
- [c36]Andreas Brink-Kjaer, Joseph Winer, Jamie M. Zeitzer, Helge B. D. Sørensen, Poul Jennum, Emmanuel Mignot, Emmanuel During:
Fully Automated Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Using Actigraphy. EMBC 2023: 1-5 - 2022
- [c35]Andreas Brink-Kjaer, Katarina Mary Gunter, Emmanuel Mignot, Emmanuel During, Poul Jennum, Helge B. D. Sørensen:
End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior Disorder. EMBC 2022: 2941-2944 - [c34]Asbjoern W. Helge, Umaer Hanif, Villads Hulgaard Joergensen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Detection of Cheyne-Stokes Breathing using a transformer-based neural network. EMBC 2022: 4580-4583 - 2021
- [c33]Villads Hulgaard Joergensen, Umaer Hanif, Poul Jennum, Emmanuel Mignot, Asbjoern W. Helge, Helge B. D. Sørensen:
Automatic Segmentation to Cluster Patterns of Breathing in Sleep Apnea. EMBC 2021: 164-168 - [c32]Magnus Ruud Kjær, Andreas Brink-Kjær, Umaer Hanif, Emmanuel Mignot, Poul Jennum, Helge B. D. Sørensen:
Polysomnographic Plethysmography Excursions are Reduced in Obese Elderly Men. EMBC 2021: 2396-2399 - [c31]Umaer Hanif, Eric Kezirian, Eva Kirkegaard Kiær, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum:
Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks*. EMBC 2021: 3957-3960 - 2020
- [c30]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Deep transfer learning for improving single-EEG arousal detection. EMBC 2020: 99-103 - [c29]Andreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum:
Predicting Age with Deep Neural Networks from Polysomnograms. EMBC 2020: 146-149 - [c28]Umaer Hanif, Rasmus R. Paulsen, Eileen B. Leary, Emmanuel Mignot, Poul Jennum, Helge B. D. Sørensen:
Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs. EMBC 2020: 1950-1953 - 2019
- [c27]Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. EMBC 2019: 556-561 - [c26]Matteo Cesari, Julie A. E. Christensen, Friederike Sixel-Döring, Maria-Lucia Muntean, Brit Mollenhauer, Claudia Trenkwalder, Poul Jennum, Helge B. D. Sørensen:
A Clinically Applicable Interactive Micro and Macro-Sleep Staging Algorithm for Elderly and Patients with Neurodegeneration. EMBC 2019: 3649-3652 - [c25]Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. NeurIPS 2019: 4417-4428 - 2018
- [c24]Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge B. D. Sørensen:
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. EMBC 2018: 1-4 - [c23]Matteo Cesari, Julie A. E. Christensen, Poul Jennum, Helge B. D. Sørensen:
Probabilistic Data-Driven Method for Limb Movement Detection during Sleep. EMBC 2018: 163-166 - [c22]Mathias P. Bonnesen, Helge B. D. Sørensen, Poul Jennum:
Mobile Apnea Screening System for at-home Recording and Analysis of Sleep Apnea Severity. EMBC 2018: 457-460 - [c21]Aske B. Klok, Joakim Edin, Matteo Cesari, Alexander Neergaard Olesen, Poul Jennum, Helge B. D. Sørensen:
A New Fully Automated Random-Forest Algorithm for Sleep Staging. EMBC 2018: 4920-4923 - [c20]Markus Waser, Heinrich Garn, Poul J. Jennum, Helge B. D. Sørensen:
A Blind Source-Based Method for Automated Artifact-Correction in Standard Sleep EEG. EMBC 2018: 6010-6013 - 2017
- [c19]Markus Waser, Heinrich Garn, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Reinhold Schmidt, Poul J. Jennum, Helge B. D. Sørensen:
A flexible method for the automated offline-detection of artifacts in multi-channel electroencephalogram recordings. EMBC 2017: 3793-3796 - 2016
- [c18]Alexander Neergaard Olesen, Julie A. E. Christensen, Helge B. D. Sørensen, Poul Jennum:
A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning. EMBC 2016: 3769-3772 - [c17]Martin Kjaer Guul, Poul Jennum, Helge B. D. Sørensen:
Portable prescreening system for sleep apnea. EMBC 2016: 4917-4920 - 2015
- [c16]Sissel Bisgaard, Bolette Duun-Christensen, Lykke Kempfner, Helge B. D. Sørensen, Poul Jennum:
EEG recordings as a source for the detection of IRBD. EMBC 2015: 606-609 - [c15]Umaer Hanif, Lotte Trap, Poul Jennum, Marielle Zoetmulder, Helge B. D. Sørensen:
Quantification of muscle activity during sleep for patients with neurodegenerative diseases. EMBC 2015: 6002-6005 - 2014
- [c14]Kristine Carmes, Lykke Kempfner, Helge Bjarup Dissing Sørensen, Poul Jennum:
Novel method for detection of Sleep Apnoea using respiration signals. EMBC 2014: 258-261 - [c13]Laerke K. Krohne, Rie B. Hansen, Julie A. E. Christensen, Helge B. D. Sørensen, Poul Jennum:
Detection of K-complexes based on the wavelet transform. EMBC 2014: 5450-5453 - [c12]Dorthe B. Saadi, Karsten Hoppe, Kenneth Egstrup, Poul Jennum, Helle K. Iversen, Jorgen L. Jeppesen, Helge B. D. Sørensen:
Automatic quality classification of entire electrocardiographic recordings obtained with a novel patch type recorder. EMBC 2014: 5639-5642 - 2013
- [c11]Julie A. E. Christensen, Henriette Koch, Rune Frandsen, Jacob Kempfner, Lars Arvastson, Søren R. Christensen, Helge B. D. Sørensen, Poul Jennum:
Classification of iRBD and Parkinson's disease patients based on eye movements during sleep. EMBC 2013: 441-444 - [c10]Henriette Koch, Julie A. E. Christensen, Rune Frandsen, Lars Arvastson, Søren R. Christensen, Helge B. D. Sørensen, Poul Jennum:
Classification of iRBD and Parkinson's patients using a general data-driven sleep staging model built on EEG. EMBC 2013: 4275-4278 - [c9]Jacob Kempfner, Poul Jennum, Miki Nikolic, Julie A. E. Christensen, Helge B. D. Sørensen:
SLEEP phenomena as an early biomarker for Parkinsonism. EMBC 2013: 5773-5776 - [c8]Jacob Kempfner, Poul Jennum, Helge B. D. Sørensen, Julie A. E. Christensen, Miki Nikolic:
Automatic SLEEP staging: From young aduslts to elderly patients using multi-class support vector machine. EMBC 2013: 5777-5780 - [c7]Ingeborg H. Hansen, Mikkel Marcussen, Julie A. E. Christensen, Poul Jennum, Helge B. D. Sørensen:
Detection of a sleep disorder predicting Parkinson's disease. EMBC 2013: 5793-5796 - 2012
- [c6]Isa Conradsen, Sándor Beniczky, Peter Wolf, Poul Jennum, Helge B. D. Sørensen:
Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. EMBC 2012: 2048-2051 - [c5]Julie A. E. Christensen, Rune Frandsen, Jacob Kempfner, Lars Arvastson, Søren R. Christensen, Poul Jennum, Helge B. D. Sørensen:
Separation of Parkinson's patients in early and mature stages from control subjects using one EOG channel. EMBC 2012: 2941-2944 - [c4]Jacob Kempfner, Poul Jennum, Miki Nikolic, Julie A. E. Christensen, Helge B. D. Sørensen:
Automatic detection of REM sleep in subjects without atonia. EMBC 2012: 4242-4245 - [c3]Sabrina Lyngbye Wendt, Julie A. E. Christensen, Jacob Kempfner, Helle L. Leonthin, Poul Jennum, Helge B. D. Sørensen:
Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects. EMBC 2012: 4250-4253 - 2011
- [c2]Gertrud Laura Sørensen, Jacob Kempfner, Poul Jennum, Helge B. D. Sørensen:
Detection of arousals in Parkinson's disease patients. EMBC 2011: 2764-2767 - [c1]Jacob Kempfner, Gertrud Laura Sørensen, Helge B. D. Sørensen, Poul Jennum:
Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. EMBC 2011: 6063-6066
Informal and Other Publications
- 2021
- [i8]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
MSED: a multi-modal sleep event detection model for clinical sleep analysis. CoRR abs/2101.02530 (2021) - 2020
- [i7]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen:
Deep transfer learning for improving single-EEG arousal detection. CoRR abs/2004.05111 (2020) - [i6]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. CoRR abs/2008.09416 (2020) - 2019
- [i5]Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. CoRR abs/1905.08059 (2019) - [i4]Andreas Brink-Kjaer, Alexander Neergaard Olesen, Paul E. Peppard, Katie L. Stone, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. CoRR abs/1906.01700 (2019) - [i3]Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. CoRR abs/1910.11162 (2019) - 2018
- [i2]Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge Bjarup Dissing Sørensen:
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. CoRR abs/1810.03745 (2018) - 2017
- [i1]Jens B. Stephansen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore IV, Oscar Carrillo, Ling Lin, Birgit Högl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. CoRR abs/1710.02094 (2017)
Coauthor Index
aka: Helge Bjarup Dissing Sørensen
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