Showing results 181 - 200 out of 720
2019
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
Laves, M.-H., Ihler, S., & Ortmaier, T. (2019). Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. Advance online publication. https://doi.org/10.48550/arXiv.1908.00788
Laves, M.-H. V., Latus, S., Bergmeier, J. N., Ortmaier, T., Kahrs, L. A., & Schlaefer, A. (2019). Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. Advance online publication. https://doi.org/10.48550/arXiv.1901.06490
Laves, M. H., Ihler, S., Ortmaier, T., & Kahrs, L. A. (2019). Quantifying the uncertainty of deep learning-based computer-aided diagnosis for patient safety. Current Directions in Biomedical Engineering, 5(1), 223-226. https://doi.org/10.1515/cdbme-2019-0057
Laves, M.-H., Ihler, S., Kahrs, L. A., & Ortmaier, T. (2019). Retinal OCT disease classification with variational autoencoder regularization. Advance online publication. https://doi.org/10.48550/arXiv.1904.00790
Laves, M. H., Ihler, S., Kahrs, L. A., & Ortmaier, T. (2019). Semantic denoising autoencoders for retinal optical coherence tomography. In European Conference on Biomedical Optics, ECBO_2019 Article 11078_43 (Optics InfoBase Conference Papers; Vol. Part F142-ECBO 2019). OSA - The Optical Society. https://doi.org/10.1117/12.2526936
Laves, M.-H., Ihler, S., & Ortmaier, T. (2019). Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases. Advance online publication. https://doi.org/10.48550/arXiv.1908.00792
Laves, M.-H., Ihler, S., Kortmann, K.-P., & Ortmaier, T. (2019). Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. Advance online publication. https://doi.org/10.48550/arXiv.1909.13550
Mannel, A., Tappe, S., Knöchelmann, E., & Ortmaier, T. (2019). Investigation on an AC grid failure handling of industrial dc microgrids with an energy storage. In Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019 (pp. 1710-1716). Article 8755017 (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.2019.8755017
Männel, A., Knöchelmann, E., Tappe, S., & Ortmaier, T. (2019). State of Charge Based Characteristic Diagram Control for Energy Storage Systems within Industrial DC Microgrids. In 2019 IEEE Third International Conference on DC Microgrids (ICDCM) Article 9232876 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15488/10382, https://doi.org/10.1109/ICDCM45535.2019.9232876
Meisoll, F. J., Jungheim, M., Fast, J. F., Ortmaier, T., & Ptok, M. (2019). Hochauflösungsmanometrische Beurteilung des Muskeltonus im oberen Ösophagussphinkter bei Aktivierung des laryngealen Adduktionsreflexes. Paper presented at 36. Wissenschaftliche Jahrestagung der Deutschen Gesellschaft für Phoniatrie und Pädaudiologie, Göttingen, Lower Saxony, Germany. https://doi.org/10.3205/19DGPP64
Modes, V., & Burgner-Kahrs, J. (2019). Calibration of Concentric Tube Continuum Robots: Automatic Alignment of Precurved Elastic Tubes. IEEE Robotics and Automation Letters, 5(1), 103-110. Article 8861354. https://doi.org/10.15488/10388, https://doi.org/10.1109/LRA.2019.2946060
Müller, S., Kahrs, L. A., Gaa, J., Tauscher, S., Kluge, M., John, S., Rau, T. S., Lenarz, T., Ortmaier, T., & Majdani, O. (2019). Workflow assessment as a preclinical development tool: Surgical process models of three techniques for minimally invasive cochlear implantation. International journal of computer assisted radiology and surgery, 14(8), 1389-1401. https://doi.org/10.1007/s11548-019-02002-3
Öltjen, J. (2019). Ein adaptives Steuerungskonzept für schwingungsfähige Robotersysteme. [Doctoral thesis, Leibniz University Hannover]. TEWISS Verlag.
Osorio, J. D. M., Allmendinger, F., Fiore, M. D., Zimmermann, U. E., & Ortmaier, T. (2019). Physical Human-Robot Interaction under Joint and Cartesian Constraints. In 2019 19th International Conference on Advanced Robotics, ICAR 2019: Proceedings (pp. 185-191). Article 8981579 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icar46387.2019.8981579
Popp, E., Tantau, M., Wielitzka, M., Ortmaier, T., & Giebert, D. (2019). Frequency domain identification and identifiability analysis of a nonlinear vehicle drivetrain model. In 2019 18th European Control Conference, ECC 2019 (pp. 237-242). Article 8795688 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15488/10817, https://doi.org/10.23919/ecc.2019.8795688
Schappler, M., Tappe, S., & Ortmaier, T. (2019). Exploiting Dynamics Parameter Linearity for Design Optimization in Combined Structural and Dimensional Robot Synthesis. In Mechanisms and Machine Science (pp. 1949-1958). (Mechanisms and Machine Science; Vol. 73). Springer Netherlands. https://doi.org/10.15488/10211, https://doi.org/10.1007/978-3-030-20131-9_193
Schappler, M., Lilge, T., & Haddadin, S. (2019). Kinematics and Dynamics Model via Explicit Direct and Trigonometric Elimination of Kinematic Constraints. In T. Uhl (Ed.), Mechanisms and Machine Science (Vol. 73, pp. 3157-3166). (Mechanisms and Machine Science; Vol. 73). Springer, Cham. https://doi.org/10.15488/10212, https://doi.org/10.1007/978-3-030-20131-9_311
Schappler, M., Tappe, S., & Ortmaier, T. (2019). Modeling Parallel Robot Kinematics for 3T2R and 3T3R Tasks Using Reciprocal Sets of Euler Angles. Robotics, 8(3), Article 68. https://doi.org/10.3390/robotics8030068, https://doi.org/10.15488/9291