Search Results - "Dorffner, G"

A prediction tool for initial out-of-hospital cardiac arrest survivors by Aschauer, S, Dorffner, G, Sterz, F, Erdogmus, A, Laggner, A

“…Abstract Aim Improvement in predicting survival after out-of-hospital cardiac arrest is of major medical, scientific and socioeconomic interest. The current…”
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Orexin Receptor Antagonism, a New Sleep-Enabling Paradigm: A Proof-of-Concept Clinical Trial by Hoever, P, Dorffner, G, Beneš, H, Penzel, T, Danker-Hopfe, H, Barbanoj, M J, Pillar, G, Saletu, B, Polo, O, Kunz, D, Zeitlhofer, J, Berg, S, Partinen, M, Bassetti, C L, Högl, B, Ebrahim, I O, Holsboer-Trachsler, E, Bengtsson, H, Peker, Y, Hemmeter, U-M, Chiossi, E, Hajak, G, Dingemanse, J

“…The orexin system is a key regulator of sleep and wakefulness. In a multicenter, double‐blind, randomized, placebo‐controlled, two‐way crossover study, 161…”
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Sunshine Influences Suicide Rates Independent of Season by Willeit, M, Vyssoki, B, Kapusta, N.D, Dorffner, G, Kasper, S, Praschak-Rieder, N

“…Introduction A spring peak in suicide rates that is paralleled by an increase in daily sunshine has been observed in many countries of the northern hemisphere…”
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Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders by Danker‐Hopfe, Heidi, Kunz, D., Gruber, G., Klösch, G., Lorenzo, J. L., Himanen, S. L., Kemp, B., Penzel, T., Röschke, J., Dorn, H., Schlögl, A., Trenker, E., Dorffner, G.

“…Summary Interrater variability of sleep stage scorings is a well‐known phenomenon. The SIESTA project offered the opportunity to analyse interrater reliability…”
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P.4.b.006 Objective versus subjective sleep efficiency in apnea and insomnia patients due to generalised anxiety disorder as compared with normals by Rosales-Rodriguez, S, Saletu, B, Anderer, P, Gruber, G, Parapatics, S, Dorffner, G, Saletu-Zyhlarz, G.M

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Financial volatility trading using recurrent neural networks by Tino, P., Schittenkopf, C., Dorffner, G.

“…We simulate daily trading of straddles on financial indexes. The straddles are traded based on predictions of daily volatility differences in the indexes. The…”
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K-complex amplitude as a marker of sleep homeostasis in obstructive sleep apnea syndrome and healthy controls by Parapatics, S., Anderer, P., Gruber, G., Saletu, B., Saletu-Zyhlarz, G., Dorffner, G.

“…Background Numerous studies indicate that K-complexes (KC), like slow waves, appear to be homeostatically regulated. In comparison to healthy controls,…”
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P6.13 Autonomic dysfunction during sleep in Parkinson's disease by Zeitlhofer, J, Schaller, S, Klösch, G, Machatschke, I, Anderer, P, Schlögl, A, Dorffner, G

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S46-02 - Objective versus subjective sleep in patients with insomnia related to generalized anxiety disorder and apnea as compared with normals by Saletu, B, Anderer, P, Gruber, G, Parapatics, S, Dorffner, G, Saletu-Zyhlarz, G.M

“…Introduction Earlier studies reported that subjective sleep quality correlates with objective polysomnographically measured sleep initiation and continuity,…”
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On the relationship between Hypoxic Burden and standard PSG variables for obstructive sleep apnea diagnosis and prediction by Dorffner, G., Gruber, G., Lagler, M.

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P.1.c.031 Effect of almorexant treatment on sleep variables in patients with primary insomnia compared with healthy controls by Dorffner, G, Anderer, P, Saletu, B, Saletu-Zyhlarz, G.M, Danker-Hopfe, H, Black, J, Dingemanse, J, Hoever, P

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Risk-neutral density extraction from option prices: improved pricing with mixture density networks by Schittenkopf, C., Dorffner, G.

“…One of the central goals in finance is to find better models for pricing and hedging financial derivatives such as call and put options. We present a new…”
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Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification by Mahbod, Amirreza, Schaefer, Gerald, Wang, Chunliang, Dorffner, Georg, Ecker, Rupert, Ellinger, Isabella

“…•Investigating the effect of image downsampling and cropping on skin lesion classification performance.•Proposing a three-level fusion approach using multiple…”
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An automatic, continuous and probabilistic sleep stager based on a hidden markov model by Flexerand, A., Dorffner, G., Sykacekand, P., Rezek, I.

“…We report about an automatic continuous sleep stager which is based on probabilistic principles employing Hidden Markov Models (HMM). Our sleep stager offers…”
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L0051 Evaluating sleep stages and events in a normative database of good sleep by Dorffner, G, Anderer, P, Gruber, G, Parapatics, S, Woertz, M, Saletu, B, Zeitlhofer, J, Hemmeter, U, Danker-Hopfe, H

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Abstract P5-16-06: Prepectoral versus retropectoral implant-based breast reconstruction - The surgical and radiotherapeutical perspective by Deutschmann, C, Gschwantler-Kaulich, D, Dorffner, G, Singer, C, Leser, C, Kauer-Dorner, D

“…Abstract Background: Subpectoral implant positioning has been the standard of care in breast reconstruction despite involving disadvantages owing to the…”
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On using feedforward neural networks for clinical diagnostic tasks by Dorffner, G, Porenta, G

“…In this paper we present an extensive comparison between several feedforward neural network types in the context of a clinical diagnostic task, namely the…”
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A machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosis by Schrutka, L, Anner, P, Seirer, B, Rettl, R, Duca, F, Dalos, D, Dachs, T M, Binder, C, Badr-Eslam, R, Kastner, J, Loewe, C, Hengstenberg, C, Stix, G, Dorffner, G, Bonderman, D

“…Abstract Background The diagnosis of cardiac amyloidosis (CA) requires advanced imaging techniques. Typical surface ECG patterns have been described, but their…”
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Improving biosignal processing through modeling uncertainty: Bayes vs. non-bayes in sleep staging by Sykacek, P., Dorffner, G., Rappelsberger, P., Zeitlhofer, J.

“…In this paper we report about an investigation of Bayesian inference applied to neural networks multilayer perceptrons (MLP), in particular in the task of…”
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Using pictograms to make 'structured behavioural observations' of youth with restless legs syndrome reproducible by Beyzaei, N., Bao, S., Maher, S., Silvestri, R., Walters, A., Dorffner, G., Kloesch, G., Spruyt, K., Ipsiroglu, O.

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