Z. Trivedi, J. Wychowaniec, D. Gehweiler, C. Sprecher, A. Boger, B. Gueorguiev, M. D'Este, T. Ricken, und O. Röhrle. Dataset, (2024)Related to: Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2023). Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty. arXiv: arXiv:2312.11426.
L. Schmid, T. Klotz, O. Röhrle, R. Powers, F. Negro, und U. Yavuz. Software, (2023)Related to: Schmid L, Klotz T, Röhrle O, Powers RK, Negro F, et al. (2024) Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study. PLOS Computational Biology 20(1): e1011487. doi: 10.1371/journal.pcbi.1011487.
J. Völter, T. Ricken, und O. Röhrle. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, Seite e202200070. Wiley-VCH, (2023)
A. Sahrmann, L. Gizzi, A. Zanker, G. Handsfield, und O. Röhrle. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Seite 3899-3902. Piscataway, IEEE, (2022)
P. Asgharzadeh, B. Özdemir, S. Müller, O. Röhrle, und R. Reski. Biomimetic Research for Architecture and Building Construction : Biological Design and Integrative Structures, 8, Kapitel 13, Springer, Cham, (2016)
C. Bleiler, und O. Röhrle. Solid (Bio)mechanics : Challenges of the Next Decade : A Book Dedicated to Professor Gerhard A. Holzapfel, 24, Springer, Cham, (2022)
T. Klotz, L. Lehmann, F. Negro, und O. Röhrle. Dataset, (2023)Related to: Klotz, T., Lehmann, L., Negro, F., & Röhrle, O. (2023). High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study. Journal of Neural Engineering 20 (2023) 046022. doi: 10.1088/1741-2552/ace7f7.
H. Saini, und O. Röhrle. Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II, 38, Seite 234-243. Cham, Springer, (2022)
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, und J. Fehr. Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.
S. Shuva, P. Buchfink, O. Röhrle, und B. Haasdonk. Large-Scale Scientific Computing : 13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised Selected Papers, 13127, Seite 402-409. Cham, Springer, (2021)
Z. Trivedi, D. Gehweiler, J. Wychowaniec, T. Ricken, B. Gueorguiev-Rüegg, A. Wagner, und O. Röhrle. Dataset, (2022)Related to: Trivedi, Z., Gehweiler, D., Wychowaniec, J.K., Ricken, T., Gueorguiev, B., Wagner, A., Röhrle, O., 2023. A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomech Model Mechanobiol. doi: 10.1007/s10237-023-01715-4.
N. Taubert, J. St. Amand, P. Kumar, L. Gizzi, und M. Giese. Artificial Neural Networks
and Machine Learning : ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I, Volume 1 von Lecture Notes in Computer Science, Seite 127-140. Cham, Springer, (2020)