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ORCIDEmmanuel Mignot
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2020 – today
- 2024
[j9]Mads Olsen
, Jamie M. Zeitzer, Risa N. Richardson, Valerie H. Musgrave, Helge B. D. Sørensen, Emmanuel Mignot, Poul J. Jennum:
A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies. IEEE Trans. Biomed. Eng. 71(8): 2506-2517 (2024)- [c14]Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou:
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. ICML 2024 - [i12]Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou:
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. CoRR abs/2405.17766 (2024) - 2023
- [j8]Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit, Kawisara Ueafuea, Thee Mateepithaktham, Narin Kunaseth, Tanut Choksatchawathi, Proadpran Punyabukkana, Emmanuel Mignot, Theerawit Wilaiprasitporn:
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation. IEEE Internet Things J. 10(18): 15943-15952 (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) - [c13]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 - [c12]Umaer Hanif, Ulysse Gimenez, Alyssa Cairns, Daniel Lewin, Nisar Ashraf, Emmanuel Mignot:
Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning. EMBC 2023: 1-5 - 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) - [c11]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 - [c10]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 - [i11]Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit, Kawisara Ueafuea, Thee Mateepithaktham, Narin Kunaseth, Tanut Choksatchawathi, Proadpran Punyabukkana, Emmanuel Mignot, Theerawit Wilaiprasitporn:
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation. CoRR abs/2208.08672 (2022) - 2021
- [j3]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) - [c9]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 - [c8]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 - [c7]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 - [i10]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
- [c6]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Deep transfer learning for improving single-EEG arousal detection. EMBC 2020: 99-103 - [c5]Andreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum:
Predicting Age with Deep Neural Networks from Polysomnograms. EMBC 2020: 146-149 - [c4]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 - [i9]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) - [i8]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)
2010 – 2019
- 2019
- [c3]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 - [i7]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) - [i6]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) - [i5]Sirinthip Roomkham, Michael Hittle, Joseph Cheung, David R. Lovell, Emmanuel Mignot, Dimitri Perrin:
Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph. F1000Research 8: 754 (2019) - 2018
- [c2]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 - [c1]Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
A Deep Learning Architecture to Detect Events in EEG Signals During Sleep. MLSP 2018: 1-6 - [i4]Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
A deep learning architecture to detect events in EEG signals during sleep. CoRR abs/1807.05981 (2018) - [i3]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) - [i2]Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal. CoRR abs/1812.04079 (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) - 2015
- [j2]Hyatt E. Moore IV, Emmanuel Mignot:
SEV - a software toolbox for large scale analysis and visualization of polysomnography data. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 3(3): 123-135 (2015) - 2014
- [j1]Hyatt E. Moore IV, Olivier Andlauer, Noah Simon, Emmanuel Mignot:
Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots. Comput. Biol. Medicine 47: 120-129 (2014)
Coauthor Index
aka: Poul J. Jennum
aka: Helge Bjarup Dissing Sørensen
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last updated on 2024-10-01 21:38 CEST by the dblp team
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