Emmanuel Mignot

40 papers A* 1Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations. npj Digit. Medicine Li Zhou, Andreas Brink-Kjaer, Katarina Mary Gunter, Salonee Marwaha, Ambra Stefani, Birgit Högl, Michele T. Hu, Emmanuel Mignot, Ankit Parekh, Qi Tang, Merve Aktan-Süzgün, Bei Huang, Shi Tang, Siyi Gong, Yuhua Yang, Xie Chen, Jianzhang Ni, Ningning Li, Zhixuan He, Yun Kwok Wing, Emmanuel During
2025	J	`jnl`	Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records. Int. J. Medical Informatics Ruoqi Wei, Stephanie S. Buss, Rebecca Milde, Marta Fernandes, Daniel Sumsion, Elijah Davis, Wan-Yee Kong, Yiwen Xiong, Jet Veltink, Samvrit Rao, Tara M. Westover, Lydia Petersen, Niels Turley, Arjun Singh, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Alice D. Lam, Katie L. Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Robert J. Thomas, Shibani Mukerji, Sahar F. Zafar, M. Brandon Westover, Haoqi Sun
2025	J	`jnl`	Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers. CoRR Niels R. Lorenzen, Poul J. Jennum, Emmanuel Mignot, Andreas Brink-Kjaer
2025	J	`jnl`	High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. npj Digit. Medicine Heyjun Park, Ahmed A. Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Caleb Mayer, Curtis McGinity, Majid Rodgar, Alessandra Celli, Tracey McLaughlin, Emmanuel Mignot, Michael Snyder
2025	J	`jnl`	Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models. CoRR Magnus Ruud Kjær, Rahul Thapa, Gauri Ganjoo, Hyatt Moore IV, Poul Jørgen Jennum, M. Brandon Westover, James Zou, Emmanuel Mignot, Bryan He, Andreas Brink-Kjaer
2024	J	`jnl`	A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies. IEEE Trans. Biomed. Eng. Mads Olsen, Jamie M. Zeitzer, Risa N. Richardson, Valerie H. Musgrave, Helge B. D. Sørensen, Emmanuel Mignot, Poul J. Jennum
2024	A*	`conf`	SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. ICML Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou
2024	J	`jnl`	SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. CoRR Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou
2023	J	`jnl`	A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography. IEEE Trans. Biomed. Eng. Mads Olsen, Jamie M. Zeitzer, Risa N. Richardson, Polina Davidenko, Poul J. Jennum, Helge B. D. Sørensen, Emmanuel Mignot
2023	—	`conf`	Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning. EMBC Umaer Hanif, Ulysse Gimenez, Alyssa Cairns, Daniel Lewin, Nisar Ashraf, Emmanuel Mignot
2023	—	`conf`	Fully Automated Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Using Actigraphy. EMBC Andreas Brink-Kjaer, Joseph Winer, Jamie M. Zeitzer, Helge B. D. Sørensen, Poul Jennum, Emmanuel Mignot, Emmanuel During
2023	J	`jnl`	MSED: A Multi-Modal Sleep Event Detection Model for Clinical Sleep Analysis. IEEE Trans. Biomed. Eng. Alexander Neergaard Zahid, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2023	J	`jnl`	RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation. IEEE Internet Things J. Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit, Kawisara Ueafuea, Thee Mateepithaktham, Narin Kunaseth, Tanut Choksatchawathi, Proadpran Punyabukkana, Emmanuel Mignot, Theerawit Wilaiprasitporn
2023	J	`jnl`	SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior Disorder. IEEE J. Biomed. Health Informatics Katarina Mary Gunter, Andreas Brink-Kjær, Emmanuel Mignot, Helge B. D. Sørensen, Emmanuel During, Poul Jennum
2022	J	`jnl`	Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit. Medicine 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
2022	—	`conf`	Detection of Cheyne-Stokes Breathing using a transformer-based neural network. EMBC Asbjoern W. Helge, Umaer Hanif, Villads Hulgaard Joergensen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2022	—	`conf`	End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior Disorder. EMBC Andreas Brink-Kjaer, Katarina Mary Gunter, Emmanuel Mignot, Emmanuel During, Poul Jennum, Helge B. D. Sørensen
2022	J	`jnl`	RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation. CoRR Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit, Kawisara Ueafuea, Thee Mateepithaktham, Narin Kunaseth, Tanut Choksatchawathi, Proadpran Punyabukkana, Emmanuel Mignot, Theerawit Wilaiprasitporn
2021	—	`conf`	Automatic Segmentation to Cluster Patterns of Breathing in Sleep Apnea. EMBC Villads Hulgaard Joergensen, Umaer Hanif, Poul Jennum, Emmanuel Mignot, Asbjoern W. Helge, Helge B. D. Sørensen
2021	J	`jnl`	Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans. IEEE J. Biomed. Health Informatics 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
2021	J	`jnl`	MSED: a multi-modal sleep event detection model for clinical sleep analysis. CoRR Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2021	—	`conf`	Polysomnographic Plethysmography Excursions are Reduced in Obese Elderly Men. EMBC Magnus Ruud Kjær, Andreas Brink-Kjær, Umaer Hanif, Emmanuel Mignot, Poul Jennum, Helge B. D. Sørensen
2021	—	`conf`	Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks EMBC Umaer Hanif, Eric Kezirian, Eva Kirkegaard Kiær, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum
2020	J	`jnl`	Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. CoRR Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2020	—	`conf`	Deep transfer learning for improving single-EEG arousal detection. EMBC Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2020	J	`jnl`	Deep transfer learning for improving single-EEG arousal detection. CoRR Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen
2020	—	`conf`	Predicting Age with Deep Neural Networks from Polysomnograms. EMBC Andreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum
2020	—	`conf`	Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs. EMBC Umaer Hanif, Rasmus R. Paulsen, Eileen B. Leary, Emmanuel Mignot, Poul Jennum, Helge B. D. Sørensen
2019	J	`jnl`	Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. CoRR Andreas Brink-Kjaer, Alexander Neergaard Olesen, Paul E. Peppard, Katie L. Stone, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2019	J	`jnl`	Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph. F1000Research Sirinthip Roomkham, Michael Hittle, Joseph Cheung, David R. Lovell, Emmanuel Mignot, Dimitri Perrin
2019	—	`conf`	Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. EMBC Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2019	J	`jnl`	Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. CoRR Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen
2018	—	`conf`	A Deep Learning Architecture to Detect Events in EEG Signals During Sleep. MLSP Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort
2018	J	`jnl`	A deep learning architecture to detect events in EEG signals during sleep. CoRR Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort
2018	J	`jnl`	DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal. CoRR Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort
2018	—	`conf`	Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. EMBC Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge B. D. Sørensen
2018	J	`jnl`	Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. CoRR Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge Bjarup Dissing Sørensen
2017	J	`jnl`	The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. CoRR 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
2015	J	`jnl`	SEV - a software toolbox for large scale analysis and visualization of polysomnography data. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Hyatt E. Moore IV, Emmanuel Mignot
2014	J	`jnl`	Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots. Comput. Biol. Medicine Hyatt E. Moore IV, Olivier Andlauer, Noah Simon, Emmanuel Mignot