Publications

Javier García Ciudad, Morten Mørup, Birgitte Rahbek Kornum, Alexander Neergaard Zahid (2024). Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models. IEEE EMBC.

Anders Nørskov, Alexander Neergaard Zahid, Morten Mørup (2023). CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. NeurIPS.

Alexander Neergaard Zahid, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen (2023). MSED: A Multi-Modal Sleep Event Detection Model for Clinical Sleep Analysis. IEEE TBME.

Alexander Neergaard Zahid, Poul Jørgen Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen (2021). Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. Sleep.

Aditya Ambati, Yo-El Ju, Ling Lin, Alexander Neergaard Zahid, Henriette Koch, Julien Jacques Hedou, Eileen B. Leary, Vicente Peris Sempere, Emmanuel Mignot, Shahrad Taheri (2020). Proteomic biomarkers of sleep apnea. Sleep.

Alexander Neergaard Zahid, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen (2020). Deep Transfer Learning for Improving Single-EEG Arousal Detection. IEEE EMBC 2020.

Andreas Brink-Kjær, Alexander Neergaard Zahid, Paul E Peppard, Katie L Stone, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen (2020). Automatic Detection of Cortical Arousals in Sleep and Their Contribution to Daytime Sleepiness. Clin. Neurophysiol.

Lorenzo Carvelli, Alexander Neergaard Zahid, Andreas Brink-Kjær, Eileen B Leary, Paul E Peppard, Emmanuel Mignot, Helge Bjarup Dissing Sørensen, Poul Jennum (2020). Design of a Deep Learning Model for Automatic Scoring of Periodic and Non-Periodic Leg Movements during Sleep Validated against Multiple Human Experts. Sleep Med.

Alexander Neergaard Zahid, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen (2019). Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. IEEE EMBC 2019.

Jens B Stephansen, Alexander Neergaard Zahid, Mads Olsen, Aditya Ambati, Eileen B Leary, Hyatt E Moore, Oscar Carrillo, Ling Lin, Fang Han, Han Yan, Yun L Sun, Yves Dauvilliers, Sabine Scholz, Lucie Barateau, Birgit Hogl, 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, Helge B. D. Sørensen, Poul Jennum, Emmanuel Mignot (2018). Neural Network Analysis of Sleep Stages Enables Efficient Diagnosis of Narcolepsy. Nat Commun.