0000-0001-6088-2015

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2023

Kreste, Heinz; Schreier, David; Sakiri, Elmaze; von Allmen, Andreas; Abukhadra, Yasmina; Nirkko, Arto; Steinlin, Maja; Rosenow, Felix; Markhus, Rune; Schneider, Gaby; Jagella, Caroline; Mathis, Johannes; Blumenfeld, Hal (2023). Predictive Power of Interictal Epileptiform Discharges in Fitness-to-Drive Evaluation. Neurology, 101(9), e866-e878. American Academy of Neurology 10.1212/WNL.0000000000207531

Cronemberger Andrade, Alan; Schreier, David Raphael; Barea-Moya, Lucas; Faustino, Patricia Ribeiro (2023). The first EAN Science School: shaping the next generation of translational neurologists. European journal of neurology, 30(2), pp. 555-556. Wiley 10.1111/ene.15614

Santschi, Annelies; Schreier, David R; Hertig-Godeschalk, Anneke; Knobel, Samuel E J; Herrmann, Uli S; Skorucak, Jelena; Schmitt, Wolfgang; Mathis, Johannes (2023). Eyelid Closure Behavior of Patients with Idiopathic and Nonorganic Hypersomnia, Narcolepsy-Cataplexy, and Healthy Controls in the Maintenance of Wakefulness Test. Nature and science of sleep, 15, pp. 677-690. Dove Medical Press 10.2147/NSS.S408318

2022

Mathis, Johannes; Andres, Daniel; Schmitt, Wolfgang J.; Bassetti, Claudio L. A.; Hess, Christian W.; Schreier, David R. (2022). The diagnostic value of sleep and vigilance tests in central disorders of hypersomnolence. Sleep, 45(3) Oxford University Press 10.1093/sleep/zsac017

2021

Rakusa, Martin; Sieminski, Mariusz; Rakusa, Sofia; Falup-Pecurariu, Cristian; Fronczek, Rolf; Hidalgo, Hildegard; Muntean, Maria-Lucia; Pijpers, Angelique; Cochen De Cock, Valerie; Pizza, Fabio; Schmidt, Markus; Schreier, David R.; Baldin, Elisa; Bassetti, Claudio L. A.; Kallweit, Ulf (2021). Awakening to sleep disorders in Europe: Survey on education, knowledge and treatment competence of European residents and neurologists. European journal of neurology, 28(9), pp. 2863-2870. Wiley 10.1111/ene.14954

Malafeev, Alexander; Hertig-Godeschalk, Anneke; Schreier, David R; Skorucak, Jelena; Mathis, Johannes; Achermann, Peter (2021). Automatic Detection of Microsleep Episodes With Deep Learning. Frontiers in neuroscience, 15, p. 564098. Frontiers Research Foundation 10.3389/fnins.2021.564098

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