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Publikationen


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2019


Ihler, S., Laves, M-H., & Ortmaier, T. (2019). Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal Folds. in International Conference on Medical Imaging with Deep Learning--Extended Abstract Track

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 (S. 1685-1691). [8755240] (Proceedings of the IEEE International Conference on Industrial Technology; Band 2019-February). Institute of Electrical and Electronics Engineers Inc..

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.

doi.org/10.15488/10364

,

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 Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter (S. 168-177). Springer Nature.

link.springer.com/chapter/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. Beitrag in Fachtagung Mechatronik, Paderborn, Nordrhein-Westfalen, Deutschland.

doi.org/10.17619/UNIPB/1-775

Kundrat, D., Schoob, A., Piskon, T., Grasslin, 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. [8777169].

doi.org/10.1109/tmrb.2019.2931438

Kundrat, D., Schoob, A., Piskon, T., Grässlin, R., Schuler, P. J., Hoffmann, T. K., Kahrs, L. A., & Ortmaier, T. (2019). Towards Assistive Technologies for Focus Adjustment in Teleoperated Robotic Non-Contact Laser Surgery. in IEEE Transactions on Medical Robotics and Bionics

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.

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 (Hrsg.), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling [109510R] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 10951). SPIE.

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.

Laves, M-H., Latus, S., Bergmeier, J., 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.

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.

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.

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 (Optics InfoBase Conference Papers; Band Part F142-ECBO 2019). OSA - The Optical Society.

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.

Laves, M-H., Ihler, S., Kortmann, K-P., & Ortmaier, T. (2019). Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. Beitrag in 4th workshop on Bayesian Deep Learning, Vancouver, Kanada.

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 (S. 1710-1716). [8755017] (Proceedings of the IEEE International Conference on Industrial Technology; Band 2019-February). Institute of Electrical and Electronics Engineers Inc..

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) [9232876] Institute of Electrical and Electronics Engineers Inc..

doi.org/10.15488/10382

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doi.org/10.1109/ICDCM45535.2019.9232876


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