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Using EEG to understand why behavior to auditory in-vehicle notifications differs across test Environments

L. Chuang, C. Glatz, and S. Krupenia. 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), page 123--133. (2017)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, and B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Dr. -Ing. Bernhardt Lüddecke University of Stuttgart

Other publications of authors with the same name

Using EEG to understand why behavior to auditory in-vehicle notifications differs across test EnvironmentsL. Chuang, C. Glatz, and S. Krupenia. 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), page 123--133. (2017)How do image complexity, task demands and looking biases influence human gaze behavior?B. Bonev, L. Chuang, and F. Escolano. Pattern Recognition Letters, 34 (7): 723-730 (2013)In press: Unsupervised clustering of EOG as a viable substitute for optical eye-trackingN. Flad, T. Fomina, H. Bülthoff, and L. Chuang. First Workshop on Eye Tracking and Visualization at IEEE Visualization, (2015)Towards a Better Understanding of Gaze Behavior in the AutomobileC. L., and B. H.. (September 2015)Position Paper for Workshop on Practical Experiences in Measuring and Modeling Drivers and Driver-Vehicle Interactions In conjunction with AutomotiveUI 2015.Data-driven approaches to unrestricted gaze-tracking benefit from saccade filteringN. Flad, J. Ditz, H. Bülthoff, and L. Chuang. Second Workshop on Eye Tracking and Visualization, IEEE Visualization 2016, (2016)Human-Centered Design and Evaluation of Haptic Cueing for Teleoperation of Multiple Mobile Robots.H. Son, A. Franchi, L. Chuang, J. Kim, H. Bülthoff, and P. Giordano. IEEE Trans. Cybernetics, 43 (2): 597-609 (2013)Recursive TMR: Scaling Fault Tolerance in the Nanoscale Era.D. Thaker, F. Impens, I. Chuang, R. Amirtharajah, and F. Chong. IEEE Design & Test of Computers, 22 (4): 298-305 (2005)Quantum Computation and Quantum Information (10th Anniversary edition).M. Nielsen, and I. Chuang. Cambridge University Press, (2016)System Delay in Flight Simulators Impairs Performance and Increases Physiological Workload.N. Flad, F. Nieuwenhuizen, H. Bülthoff, and L. Chuang. HCI (23), volume 8532 of Lecture Notes in Computer Science, page 3-11. Springer, (2014)Looming Auditory Collision Warnings for Semi-Automated Driving: An ERP Study.M. Lahmer, C. Glatz, V. Seibold, and L. Chuang. AutomotiveUI, page 310-319. ACM, (2018)