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Georg Dorffner

Showing results (61-70 of 71) with videos related to

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Journal of Sleep Research|March 3, 2009
Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standardHeidi Danker-Hopfe, Peter Anderer, Josef Zeitlhofer, et al.
Sleep|February 26, 2009
Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parametersDoris Moser, Peter Anderer, Georg Gruber, et al.
Journal of Psychopharmacology (Oxford, England)|June 1, 2018
A randomized Phase 2 study to evaluate the orexin-2 receptor antagonist seltorexant in individuals with insomnia without psychiatric comorbidityPeter De Boer, Wayne C Drevets, Hany Rofael, et al.
Journal of Clinical Medicine|May 8, 2020
Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept StudyAsan Agibetov, Benjamin Seirer, Theresa-Marie Dachs, et al.
Neuropsychobiology|September 11, 2010
Computer-assisted sleep classification according to the standard of the American Academy of Sleep Medicine: validation study of the AASM version of the Somnolyzer 24 × 7Peter Anderer, Arnaud Moreau, Michael Woertz, et al.
Neuropsychobiology|April 20, 2005
An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24 x 7 utilizing the Siesta databasePeter Anderer, Georg Gruber, Silvia Parapatics, et al.
Heart (British Cardiac Society)|October 30, 2021
Machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosisLore Schrutka, Philip Anner, Asan Agibetov, et al.
Journal of Personalized Medicine|December 24, 2021
Convolutional Neural Networks for Fully Automated Diagnosis of Cardiac Amyloidosis by Cardiac Magnetic Resonance ImagingAsan Agibetov, Andreas Kammerlander, Franz Duca, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|April 5, 2024
Methods for Neuroscience Drug Development: Guidance on Standardization of the Process for Defining Clinical Outcome Strategies in Clinical TrialsSilvia Zaragoza Domingo, Jordi Alonso, Montse Ferrer, et al.
Orphanet Journal of Rare Diseases|October 18, 2025
Methodological challenges in outcomes research for early-trials for implementation of new therapies in neuropediatric rare diseasesMaria T Acosta, Silvia Zaragoza Domingo, Celso Arango, et al.
Pageof 8

Showing results (61-70 of 71) with videos related to

Sort By:
Pageof 8
Journal of Sleep Research|March 3, 2009
Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standardHeidi Danker-Hopfe, Peter Anderer, Josef Zeitlhofer, et al.
Sleep|February 26, 2009
Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parametersDoris Moser, Peter Anderer, Georg Gruber, et al.
Journal of Psychopharmacology (Oxford, England)|June 1, 2018
A randomized Phase 2 study to evaluate the orexin-2 receptor antagonist seltorexant in individuals with insomnia without psychiatric comorbidityPeter De Boer, Wayne C Drevets, Hany Rofael, et al.
Journal of Clinical Medicine|May 8, 2020
Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept StudyAsan Agibetov, Benjamin Seirer, Theresa-Marie Dachs, et al.
Neuropsychobiology|September 11, 2010
Computer-assisted sleep classification according to the standard of the American Academy of Sleep Medicine: validation study of the AASM version of the Somnolyzer 24 × 7Peter Anderer, Arnaud Moreau, Michael Woertz, et al.
Neuropsychobiology|April 20, 2005
An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24 x 7 utilizing the Siesta databasePeter Anderer, Georg Gruber, Silvia Parapatics, et al.
Heart (British Cardiac Society)|October 30, 2021
Machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosisLore Schrutka, Philip Anner, Asan Agibetov, et al.
Journal of Personalized Medicine|December 24, 2021
Convolutional Neural Networks for Fully Automated Diagnosis of Cardiac Amyloidosis by Cardiac Magnetic Resonance ImagingAsan Agibetov, Andreas Kammerlander, Franz Duca, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|April 5, 2024
Methods for Neuroscience Drug Development: Guidance on Standardization of the Process for Defining Clinical Outcome Strategies in Clinical TrialsSilvia Zaragoza Domingo, Jordi Alonso, Montse Ferrer, et al.
Orphanet Journal of Rare Diseases|October 18, 2025
Methodological challenges in outcomes research for early-trials for implementation of new therapies in neuropediatric rare diseasesMaria T Acosta, Silvia Zaragoza Domingo, Celso Arango, et al.
Pageof 8