Publications

Showing results 161 - 180 out of 719

2019


Diers, D., Fast, J. F., Götz, F., Kahrs, L. A., Miller, S., Jungheim, M., & Ptok, M. (2019). Euclidean distances of laryngopharyngeal structures obtained from CT data for preclinical development of laryngoscopic devices. Surgical and Radiologic Anatomy, 42(6), 695-700. https://doi.org/10.1007/s00276-019-02397-3
Dörbaum, M., Tappe, S., Ortmaier, T., & Ponick, B. (2019). Design and Analysis of Electromagnetic Tilting Actuators. IEEE/ASME Transactions on Mechatronics, 24(5), 2171-2181. Article 8765796. https://doi.org/10.1109/tmech.2019.2929735
Eggers, K. B. (2019). Energieeffizienter Betrieb von Industrierobotern. [Doctoral thesis, Leibniz University Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/5332
Eggers, K., Ziaukas, Z., Kotlarski, J., & Ortmaier, T. (2019). On the Relationship of Travel Time and Energy Efficiency of Industrial Robots. In Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018) (pp. 115-121). (Atlantis Highlights in Engineering). Atlantis Press SARL. https://doi.org/10.2991/icoiese-18.2019.21
Fast, J. F., He, J., Ortmaier, T., Jungheim, M., Ptok, M., & Kahrs, L. A. (2019). An actuated larynx phantom for pre-clinical evaluation of droplet-based reflex-stimulating laryngoscopes. Current Directions in Biomedical Engineering, 5(1), 137-140. https://doi.org/10.1515/cdbme-2019-0035, https://doi.org/10.15488/9819
Fast, J. F., Krauth, M., Ortmaier, T., Ptok, M., & Kahrs, L. A. (2019). Aufbau eines bildleiterbasierten Stereo-Laryngoskops für das anatomiegerechte Routine-Screening der Latenz des laryngealen Adduktionsreflexes nach Auslösung durch Tropfenbeschuss. Paper presented at 36. Wissenschaftliche Jahrestagung der Deutschen Gesellschaft für Phoniatrie und Pädaudiologie, Göttingen, Lower Saxony, Germany. https://doi.org/10.3205/19DGPP27
Fast, J. F., Rüppel, A. K., Bärhold, C., Jungheim, M., Ortmaier, T., Ptok, M., & Kahrs, L. A. (2019). Endoscopic guidance system for stimulation of the laryngeal adductor reflex by droplet impact. In B. Fei, & C. A. Linte (Eds.), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling Article 109510M (Proceedings of SPIE: Progress in biomedical optics and imaging; Vol. 10951). SPIE. https://doi.org/10.1117/12.2512852
Habich, T.-L., Kaczor, D., Tappe, S., & Ortmaier, T. (2019). Online Learning of the Inverse Dynamics with Parallel Drifting Gaussian Processes: Implementation of an Approach for Feedforward Control of a Parallel Kinematic Industrial Robot. In Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 (pp. 962-969). Article 8816298 (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2019.8816298
Hügl, S., Henke, M., Kahrs, L., Ortmaier, T., Lenarz, T., & Rau, T. S. (2019). Development of a test bench for insertion force measurements with precise orientation of specimen using a stereo optical navigation system. Laryngo- Rhino- Otologie, 98(2), Article S316. https://doi.org/10.1055/s-0039-1686402
Ihler, S., Laves, M.-H., & Ortmaier, T. (2019). Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal Folds. Advance online publication. https://openreview.net/forum?id=S1xTGVhE5N
Ihlers, S., Schulz, JP., Laves, M.-H. V., Kahrs, L. A., & Ortmaier, T. (2019). Towards Patient-Specific Neural Networks for Image-Based Motion Estimation. In Computer-Assisted Radiology and Surgery (CARS)
Ihlers, S., Seifert, J. M., Laves, M.-H. V., Kahrs, L. A., Ptok, M., & Ortmaier, T. (2019). Vergleichsstudie von objektbasiertem Hochgeschwindigkeits-Tracking der Glottis. In Computer- und Roboter-Assistierte Chirurgie (CURAC)
Knöchelmann, E., Tappe, S., Ortmaier, T., & Mannel, A. (2019). Cost-optimized control of dc microgrids based on characteristic diagrams. In Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019 (pp. 1685-1691). Article 8755240 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2019-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2019.8755240
Knöchelmann, E., Männel, A., Goetjes, B., Tappe, S., & Ortmaier, T. (2019). Decentralized Cost-Optimized Fuzzy Control of DC Micro Grids. In 3rd IEEE International Conference on DC Microgrids (ICDCM 2019) IEEE. https://doi.org/10.15488/10364, https://doi.org/10.1109/ICDCM45535.2019.9232741
Knöchelmann, E., Kotlarski, J., Böhm, T., Tappe, S., & Ortmaier, T. (2019). Potential of Energy Storage Systems for Industrial Robots. In T. Schüppstuhl, K. Tracht, & J. Roßmann (Eds.), Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter (pp. 168-177). Springer Vieweg. https://doi.org/10.1007/978-3-662-59317-2_17
Kortmann, K.-P., Seel, A., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2019). Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte Produktionsprozesse. In Fachtagung Mechatronik 2019 (pp. 225-230). University of Paderborn. https://doi.org/doi.org/10.17619/UNIPB/1-775
Kortmann, K.-P., Seel, A., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2019). Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte Produktionsprozesse. 225-230. Paper presented at Fachtagung Mechatronik, Paderborn, North Rhine-Westphalia, Germany. https://doi.org/10.17619/UNIPB/1-775
Kundrat, D., Schoob, A., Piskon, T., Grässlin, R., Schuler, P. J., Hoffmann, T. K., Kahrs, L. A., & Ortmaier, T. (2019). Toward Assistive Technologies for Focus Adjustment in Teleoperated Robotic Non-Contact Laser Surgery. IEEE Transactions on Medical Robotics and Bionics, 1(3), 145-157. Article 8777169. https://doi.org/10.1109/tmrb.2019.2931438
Laves, M. H., Bicker, J., Kahrs, L. A., & Ortmaier, T. (2019). A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation. International journal of computer assisted radiology and surgery, 14(3), 483-492. https://doi.org/10.48550/arXiv.1807.06081, https://doi.org/10.1007/s11548-018-01910-0
Laves, M. H., Ihler, S., Kahrs, L. A., & Ortmaier, T. (2019). Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. In B. Fei, & C. A. Linte (Eds.), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling Article 109510R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10951). SPIE. https://doi.org/10.1117/12.2512952