{"id":2095,"date":"2020-10-06T13:02:24","date_gmt":"2020-10-06T11:02:24","guid":{"rendered":"https:\/\/emrolab.htwsaar.de\/?page_id=2095"},"modified":"2023-02-01T10:12:41","modified_gmt":"2023-02-01T09:12:41","slug":"publikationen","status":"publish","type":"page","link":"https:\/\/m4p.htwsaar.de\/index.php\/publikationen\/","title":{"rendered":"Publikationen"},"content":{"rendered":"<p>\u00a0<\/p>\n<p>2022<\/p>\n<ul>\n<li>P. Flotho, S. Nomura, B. Kuhn, and D. J. Strauss, \u201cSoftware for Non-Parametric Image Registration of 2-Photon Imaging Data (in press),\u201d J Biophotonics, 2022.<\/li>\n<li>D. Chang, D. Thinnes, P. Au, D. Maziero, V. Stenger, S. Sinnett, and J. Vibell, \u201cSound-modulations of visual motion perception implicates the cortico-vestibular brain,\u201d NeuroImage, 2022.<\/li>\n<li>P. Flotho, C. Heiss, G. Steidl, and D. J. Strauss, \u201cLagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements (accepted),\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>B. Buchheit, E. N. Schneider, M. Alayan, and D. J. Strauss, \u201cMotion Sickness related Route Profiling for Evaluation of the Sensory Conlict in Real-Driving Studies (accepted),\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>A. Mai, M. Serman, S. Best, N. Jensen, J. Foellmer, A. Schroeer, C. Welsch, D. J. Strauss, and F. Corona-Strauss, \u201cSpeech Tracking in Complex Auditory Scenes with Differentiated In- and Out-Field-Of-View Processing in Hearing Aids (accepted),\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>D. Thinnes, S. A. Hillyard, F. I. Corona-Strauss, J. F. Vibell, and D. J. Strauss, \u201d Preliminary Outcomes of Cross-Modal Pre-Cuing in a Visual Discrimination Task,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>S. K. Pandey, D. J. Strauss, and P. Flotho, \u201d Impact of Medical Face Masks on Facial Alignment Performance,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>P. Flotho, M. J. Bhamborae, C. Karls, M. Lehser, and D. J. Strauss, \u201d Comparing Video Compression for Archiving Camera-based Physiological Measurements for rPPG and Motion Analysis,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>A. Wilhelm, P. J. Sch\u00e4fer, P. Flotho, F. I. Corona-Strauss, and D. J. Strauss, \u201d Auditory attention decoding of ongoing EEG without acoustic stimuli using a 3D convolutional neural network in a four-speaker acoustic environment,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.\u00a0<\/li>\n<li>A. Schroeer, M. R. Andersen, M. L. Rank, R. Hannemann, E. B. Petersen, F. M. R\u00f8nne, D. J. Strauss, and F. I. Corona-Strauss, \u201d Classifying the Direction of Auditory Stimuli by Dry-Contact Ear-EMG ,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<li>E. N. Schneider, B. Buchheit, and D. J. Strauss, \u201d Regional Variations of Electrodermal Activity in a Motion Sickness Paradigm ,\u201d in Annu Int Conf IEEE Eng Med Biol Soc, 2022.<\/li>\n<\/ul>\n<hr \/>\n<p>2021<\/p>\n<ul>\n<li>E. Wagner, \u201cNeue Implementierungsmethoden f\u00fcr eingebettete geberlose Motor-Controller basierend auf dem Einsatz von Multi-Core-Mikrocontrollern\u201d, Universit\u00e4t des Saarlandes, 2021.<\/li>\n<li>P. Flotho, M. J. Bhamborae, T. Gr\u00fcn, C. Trenado, D. Thinnes, D. Limbach, and D. J. Strauss, \u201cMultimodal Data Acquisition at SARS-CoV-2 Drive Through Screening Centers: Setup Description and Experiences in Saarland, Germany,\u201d J Biophotonics, p. e202000512, 2021.<\/li>\n<li>P. Flotho, D. Thinnes, B. Kuhn, C. J. Roome, J. F. Vibell, and D. J. Strauss, \u201cFast Variational Alignment of Non-flat 1D Displacements for Applications in Neuroimaging,\u201d J Neurosci Methods, vol. 353, p. 109076, 2021.<\/li>\n<li>A. Schroeer, F. I. Corona-Strauss, O. Ozdamar, J. Jorge Bohorquez, and D. J. Strauss, \u201cSpeech induced Binaural Beats: Electrophysiological Assessment of Binaural Interaction,\u201d J Acoust Soc Am., 2021.\u00a0<\/li>\n<li>B. Buchheit, E. N. Schneider, M. Alayan, F. Dauth, and D. J. Strauss, \u201cMotion Sickness Prediction in Self-Driving Cars Using the 6DOF-SVC Model,\u201d IEEE trans Intell Transp Syst, 2021.<\/li>\n<li>B. Buchheit, E. S. Schneider, M. Alayan, F. Dauth, and D. J. Strauss, \u201cMethodological standardization of electrodermal activity to validate subjective assessments of motion sickness,\u201d in Neural Engineering (NER), 10th International IEEE EMBS Conference on, 2021.\u00a0<\/li>\n<\/ul>\n<hr \/>\n<p>2020<\/p>\n<ul>\n<li>D. J. Strauss, F. I. Corona-Strauss, A. Schroeer, P. Flotho, R. Hannemann, and S. A. Hackley. Vestigial Auriculomotor Activity Indicates the Direction of Auditory Attention in Humans, eLife, e54536, 2020.<\/li>\n<li>P. Flotho, M. Bhamborae, T. Gr\u00fcn, C. Trenado, D.Thinnes, D. Limbach, and D. J. Strauss. Multimodal Data Acquisition at SARS-CoV-2 Drive Through Screening Centers in Germany: Setup Description and Experiences, Submitted to Eurosurveillance (2020)<\/li>\n<li>M. J. Bhamborae, P. Flotho, A. Mai, E. N. Schneider, A. L. Francis, and D. J. Strauss. Towards Contactless Estimation of Electrodermal Activity Correlates, Conf Proc IEEE Eng Med Biol Soc. 2020 \u2013 in press, 2020.<\/li>\n<\/ul>\n<hr \/>\n<p>2019<\/p>\n<ul>\n<li>F. Jomrich, D. Bischoff, S. Knapp, T. Meuser, B. Richerzhagen, R. Steinmetz: Lane Accurate Detection of Map Changes based on Low Cost Smartphone Data. VEHITS 2019: 126-137<\/li>\n<li>D. Bischoff, H. Berninger, S. Knapp, T. Meuser, B. Richerzhagen, L. H\u00e4ring, A. Czylwik: Safetyrelevant V2X Beaconing in Realistic and Scalable Heterogeneous Radio Propagation Fading Channels. VEHITS 2019: 404-411<\/li>\n<li>E. Gonzalez-Trejo, H. M\u00f6gele, N. Pfleger, R. Hannemann, and D. J. Strauss. Electroencephalographic phase-amplitude coupling in simulated driving with varying modalityspecific attentional demand. IEEE Transaction on Human-Machine Systems, 49:589 \u2013 598, 2019.<\/li>\n<\/ul>\n<hr \/>\n<p>2018<\/p>\n<ul>\n<li>F. Jomrich, F. Fischer, S. Knapp, T. Meuser, B. Richerzhagen, R. Steinmetz: Enhanced Cellular Bandwidth Prediction for Highly Automated Driving. SMARTGREENS\/VEHITS (Selected Papers) 2018: 328-350<\/li>\n<li>F. Jomrich, J. Schmid, S. Knapp, A. H\u00f6\u00df, R. Steinmetz, B. W. Schuller: Analysing communication requirements for crowd sourced backend generation of HD Maps used in automated driving. VNC 2018: 1-8<\/li>\n<li>C.Lehser, E.Wagner, and D.J.Strauss. Somatosensory evoked responses elicited by haptic sensations in mid-air. IEEE Trans Neural Syst Rehabil Eng, 26:2070 \u2013 2077, 2018.<\/li>\n<li>P. Flotho, M. J. Bhamborae, L. Haab, and D. J. Strauss. Lagrangian Motion Magnification revisited: Continuous, Magnitude Driven Motion Scaling for Psychophysiological Experiments, Conf Proc IEEE Eng Med Biol Soc. 2018, 2018.<\/li>\n<\/ul>\n<hr \/>\n<p>2017<\/p>\n<ul>\n<li>D.J. Strauss, and A.L. Francis. Toward a taxonomic model of attention in effortful listening Cognitive, Affective, &amp; Behavioral Neuroscience, 17:809\u2013825, 2017.<\/li>\n<li>C. Bernarding, D. J. Strauss, R. Hannemann, H. Seidler, and F. I. Corona-Strauss. Neurodynamic evaluation of hearing aid features using eeg correlates of listening effort. (<span data-test=\"article-publication-year\">2017)<\/span>.<\/li>\n<\/ul>\n<hr \/>\n<p>2016<\/p>\n<ul>\n<li>Z. Mortezapouraghdam, R. C. Wilson, L. Schwabe, and D. J. Strauss. Bayesian modeling of the dynamics of phase modulations and their application to auditory evoked responses. Front Comput Neurosci, 10(2):1\u201310, 2016.<\/li>\n<li>B. Behringer and S. Rothkugel. Integrating feature\u2013based implementation approaches using a common graph-based representation. In SAC, pages 1504\u20131511. ACM, 2016.<\/li>\n<\/ul>\n<hr \/>\n<p>2015<\/p>\n<ul>\n<li>E. Wagner, M. Lehser, and M. Nienhaus. Evaluation of a safety multi\u2013core platform for the sensorless drive of a PMSM. In 13th International Conference on Programmable Devices and Embedded Systems, pages 284\u2013289. IFAC\/IEEE, 2015<\/li>\n<li>A. Damian, F. I. Corona-Strauss, R. Hannemann, and D. J. Strauss. Towards the assessment of listening effort in real life situations: Mobile eeg recordings in a multimodal driving situation. In Conf Proc IEEE Eng Med Biol Soc, 2015:8123\u20138126, 2015.<\/li>\n<li>E. Gonzalez-Trejo, M. C. Kohl, A. Steinbach, H. M\u00f6gele, N. Pfleger, and D. J. Strauss. Correlation between cortical inhibition and auditory stream segregation in a driving environment. In Neural Engineering (NER), 2015 7th International IEEE\/EMBS Conference on, 2015: 747\u2013750, 2015.<\/li>\n<\/ul>\n<hr \/>\n<p>2014<\/p>\n<ul>\n<li>B. Behringer, S. Rothkugel, and M. Lehser. Towards Frame\u2013based Source Code Generation for Heterogeneous Real\u2013time Environments. In CESCIT, pages 212\u2013217. IFAC, 2014.<\/li>\n<li>B. Behringer, S. Rothkugel, and M. Lehser. Towards Feature\u2013Oriented Fault Tree Analysis. In QUORS, pages 522\u2013527. IEEE Computer Society, 2014<\/li>\n<\/ul>\n<hr \/>\n<p>2013<\/p>\n<ul>\n<li>D. J. Strauss, T. Teuber, G. Steidl, and F. I. Corona-Strauss. Exploiting the self\u2013similarity in ERP images by nonlocal means for single\u2013trial denoising. IEEE Trans Neural Syst Rehabil Eng, 21:576\u2013583, 2013. Invited paper.<\/li>\n<li>C. Bernarding, D. J. Strauss, R. Hannemann, H. Seidler, and F. I. Corona-Strauss. Neural correlates of listening effort related factors: Influence of age and hearing impairment. Brain Res Bull, 91:21\u201330, 2013.<\/li>\n<\/ul>\n<hr \/>\n<p>2010<\/p>\n<ul>\n<li>D. J. Strauss, F. I. Corona-Strauss, C. Bernarding, C. Trenado, W. Reith, M. Latzel, and M. Froehlich. Electrophysiological correlates of listening effort: Neurodynamical modeling and measurement. Cogn. Neurodyn., 4:119\u2013131, 2010.<\/li>\n<\/ul>\n<hr \/>\n<p>2009<\/p>\n<ul>\n<li>\n<p>Y. F. Low and D. J. Strauss. EEG phase reset due to auditory attention: an inverse time-scale approach, <i>Physiol. Meas<\/i>. 30 (2009) 821\u2013832<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<p>2008<\/p>\n<ul>\n<li>Jewgenij Botaschanjan, Manfred Broy, Alexander Gruler, Alexander Harhurin, Steffen Knapp, Leonid Kof, Wolfgang J. Paul, Maria Spichkova: On the correctness of upper layers of automotive systems. Formal Aspects Comput. 20(6): 637-662 (2008)<\/li>\n<\/ul>\n<hr \/>\n<p>Weitere Publikationen<\/p>\n<ul>\n<li><a href=\"https:\/\/emrolab.htwsaar.de\/index.php\/publikationen\/\">Publikationen des Embedded Robotics Lab<\/a><\/li>\n<li><a href=\"http:\/\/www.snnu.uni-saarland.de\/?page_id=34\">Publikationen der Systems Neuroscience &amp; Neurotechnology Unit<\/a><\/li>\n<\/ul>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 2022 P. Flotho, S. Nomura, B. Kuhn, and D. J. Strauss, \u201cSoftware for Non-Parametric Image Registration of 2-Photon Imaging Data (in press),\u201d J Biophotonics, 2022. D. Chang, D. Thinnes, P. Au, D. Maziero, V. Stenger, S. Sinnett, and J.<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2095","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/pages\/2095","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/comments?post=2095"}],"version-history":[{"count":17,"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/pages\/2095\/revisions"}],"predecessor-version":[{"id":2410,"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/pages\/2095\/revisions\/2410"}],"wp:attachment":[{"href":"https:\/\/m4p.htwsaar.de\/index.php\/wp-json\/wp\/v2\/media?parent=2095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}