Oliver Röhrle

Ates, F., & Röhrle, O. (2024). Experiments meet simulations: Understanding skeletal muscle mechanics to address clinical problems. GAMM-Mitteilungen, e202370012.

Avci, O., & Röhrle, O. (2024). Determining a musculoskeletal system’s pre-stretched state using continuum--mechanical forward modelling and joint range optimization. Biomechanics and Modeling in Mechanobiology, 1–23.

Schmid, L., Klotz, T., Röhrle, O., Powers, R. K., Negro, F., & Yavuz, U. Ş. (2024). Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study. PLOS Computational Biology, 20, Article 1. https://doi.org/10.1371/journal.pcbi.1011487

Sahrmann, A. S., Vosse, L., Siebert, T., Handsfield, G. G., & Röhrle, O. (2024). 3D ultrasound-based determination of skeletal muscle fascicle orientations. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-024-01837-3

Sahrmann, A. S., Handsfield, G. G., Gizzi, L., Gerlach, J., Verl, A., Besier, T. F., & Röhrle, O. (2024). A System for Reproducible 3D Ultrasound Measurements of Skeletal Muscles. IEEE Transactions on Biomedical Engineering, 1–12. https://doi.org/10.1109/TBME.2024.3359854

Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2024). Rheological Analysis and Evaluation of Measurement Techniques for Curing Poly (Methyl Methacrylate) Bone Cement in Vertebroplasty. ACS Biomaterials Science & Engineering.

Bubeck, F., Tomalka, A., Siebert, T., Röhrle, O., & Gizzi, L. (2024). Altered muscle fibre activation in an antagonistic muscle pair due to perturbed afferent feedback caused by blood flow restriction. Journal of Electromyography and Kinesiology, 102922. https://doi.org/10.1016/j.jelekin.2024.102922

Villota-Narvaez, Y., Bleiler, C., & Röhrle, O. (2024). Data sharing in modeling and simulation of biomechanical systems in interdisciplinary environments. GAMM-Mitteilungen, 47, Article 2. https://doi.org/10.1002/gamm.202370006

Maier, B., Göddeke, D., Huber, F., Klotz, T., Röhrle, O., & Schulte, M. (2024). OpenDiHu: an efficient and scalable framework for biophysical simulations of the neuromuscular system. Journal of Computational Science, 79, 102291.

Sahrmann, A. S., Vosse, L., Siebert, T., Handsfield, G. G., & Röhrle, O. (2024). Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound. Frontiers in Bioengineering and Biotechnology, 12. https://doi.org/10.3389/fbioe.2024.1388907

Homs-Pons, C., Lautenschlager, R., Schmid, L., Ernst, J., Göddeke, D., Röhrle, O., & Schulte, M. (2024). Coupled simulations and parameter inversion for neural system and electrophysiological muscle models. GAMM-Mitteilungen, 47, Article 3. https://doi.org/10.1002/gamm.202370009

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. https://doi.org/10.1088/1741-2552/ace7f7

Ramakrishnan, A. N., Röhrle, O., Ludtka, C., Koehler, J., Kiesow, A., & Schwan, S. (2023). Mapping the role of oral cavity physiological factors into the viscoelastic model of denture adhesives for numerical implementation. Journal of Applied Biomaterials & Functional Materials, 21. https://doi.org/10.1177/22808000231201460

Saini, H., Klotz, T., & Röhrle, O. (2023). Modelling motor units in 3D: Influence on muscle contraction and joint force via a proof of concept simulation. Biomechanics and Modeling in Mechanobiology, 22, Article 2. https://doi.org/10.1007/s10237-022-01666-2

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. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-023-01715-4

Saini, H., & Röhrle, O. (2023). Simulation Study to Investigate the Accuracy of in Vivo Motor-Unit Twitch Force Measurements. In J. M. R. S. Tavares, C. Bourauel, L. Geris, & J. Vander Slote (Eds.), International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (pp. 234–243). Springer International Publishing. https://doi.org/10.1007/978-3-031-10015-4_20

Kneifl, J., Rosin, D., Röhrle, O., & Fehr, J. C. (2023). Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction. Archive of Applied Mechanics, 1–27. https://doi.org/10.1007/s00419-023-02458-5

Haggie, L., Schmid, L., Röhrle, O., Besier, T., McMorland, A., & Saini, H. (2023). Linking cortex and contraction—Integrating models along the corticomuscular pathway. Frontiers in Physiology, 14. https://doi.org/10.3389/fphys.2023.1095260

Zhang, C., Zhang, J., Widmann, M., Benke, M., Kübler, M., Dasari, D., Klotz, T., Gizzi, L., Röhrle, O., Brenner, P., & Wrachtrup, J. (2023). Optimizing NV magnetometry for Magnetoneurography and Magnetomyography applications. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.1034391

Klotz, T., Gizzi, L., & Röhrle, O. (2022). Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model. Biomechanics and Modeling in Mechanobiology, 21, 983–997. https://doi.org/10.1007/s10237-022-01572-7

Kässinger, J., Rosin, D., Dürr, F., Hornischer, N., Rothermel, K., & Röhrle, O. (2022). Persival: Simulating Complex 3D Meshes on Resource-Constrained Mobile AR Devices Using Interpolation. Proceedings of the 2022 IEEE International Conference on Distributed Computing Systems (ICDCS), 961–971. https://doi.org/10.1109/ICDCS54860.2022.00097

Ramakrishnan, A. N., Röhrle, O., Ludtka, C., Köhler, J., Kiesow, A., & Schwan, S. (2022). The Role of Denture Adhesives on the Oral Health of Partial Denture Wearers: A Numerical Study. Macromolecular Symposia, 403, Article 1. https://doi.org/10.1002/masy.202100422

Ramakrishnan, A. N., Roehrle, O., Ludtka, C., Varghese, R., Koehler, J., Kiesow, A., & Schwan, S. (2022). FINITE ELEMENT EVALUATION OF THE EFFECT OF ADHESIVE CREAMS ON THE STRESS STATE OF DENTURES AND ABUTMENT TEETH. Journal of Mechanics in Medicine and Biology, 22, Article 05. https://doi.org/10.1142/S0219519422500270

Hessenthaler, A., Falgout, R. D., Schroder, J. B., de Vecchi, A., Nordsletten, D., & Röhrle, O. (2022). Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time. Computer Methods in Applied Mechanics and Engineering, 389, 114368. https://doi.org/10.1016/j.cma.2021.114368

Bleiler, C., & Röhrle, O. (2022). Strain Measures and Energies for Crimped Fibres and Novel Analytical Expressions for Fibre Populations: Ingredients for Structural Fibre Network Models. Journal of Elasticity, 150, 401–448. https://doi.org/10.1007/s10659-022-09920-5

Bleiler, C., & Röhrle, O. (2022). Classification of Biomechanical Models: The Wrong Battle Between Phenomenological and Structural Approaches, the Partly Underestimated Strength of Phenomenology and Challenges for Future (Clinical) Applications. In Solid (Bio) mechanics: Challenges of the Next Decade (pp. 335–352). Springer. https://doi.org/10.1007/978-3-030-92339-6_14

Sahrmann, A. S., Gizzi, L., Zanker, A., Handsfield, G. G., & Röhrle, O. (2022). Dynamic 3D Ultrasound Imaging of the Tibialis Anterior Muscle. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 3899–3902. https://doi.org/10.1109/EMBC48229.2022.9871352

Saini, H., & Röhrle, O. (2022). A Biophysically Guided Constitutive Law of the Musculotendon-Complex: Modelling and Numerical Implementation in Abaqus. Available at SSRN 4102677, 226, 107152. https://doi.org/10.1016/j.cmpb.2022.107152

Ramakrishnan, A. N., Röhrle, O., Ludtka, C., Varghese, R., Koehler, J., Kiesow, A., & Schwan, S. (2022). Numerical study of the stress state on the oral mucosa and abutment tooth upon insertion of partial dentures in the mandible. International Journal for Numerical Methods in Biomedical Engineering, e3604. https://doi.org/10.1002/cnm.3604

Schmid, L., Klotz, T., Yavuz, U. Ş., Maltenfort, M., & Röhrle, O. (2022). Spindle Model Responsive to Mixed Fusimotor Inputs: an updated version of the Maltenfort and Burke (2003) model. Physiome. https://doi.org/10.36903/physiome.19070171.v2

Villota-Narvaez, Y., Garzón-Alvarado, D. A., Röhrle, O., & Ramírez-Martínez, A. M. (2022). Multi-scale mechanobiological model for skeletal muscle hypertrophy. Frontiers in Physiology, 1924. https://doi.org/10.3389/fphys.2022.899784

Ali, H., Umander, J., Rohlén, R., Röhrle, O., & Grönlund, C. (2022). Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation. Biomedical Engineering Online, 21, Article 1. https://doi.org/10.1186/s12938-022-01016-4

Bleiler, C., Ponte Castañeda, P., & Röhrle, O. (2021). Tangent second-order homogenisation estimates for incompressible hyperelastic composites with fibrous microstructures and anisotropic phases. Journal of the Mechanics and Physics of Solids, 147, 104251. https://doi.org/10.1016/j.jmps.2020.104251

Gizzi, L., Yavuz, U. S., Hillerkuss, D., Geri, T., Gneiting, E., Domeier, F., Schmitt, S., & Röhrle, O. (2021). Variations in Muscle Activity and Exerted Torque During Temporary Blood Flow Restriction in Healthy Individuals. Frontiers in Bioengineering and Biotechnology, 9, 100. https://doi.org/10.3389/fbioe.2021.557761

Ramakrishnan, A. N., Röhrle, O., Ludtka, C., Varghese, R., Koehler, J., Kiesow, A., & Schwan, S. (2021). Finite Element Evaluation of the Effect of Adhesive Creams on the Stress State of Dentures and Oral Mucosa. Journal of Mechanics in Medicine and Biology, 22, Article 5. https://doi.org/10.1142/S0219519422500270

Klotz, T., Bleiler, C., & Röhrle, O. (2021). A Physiology-Guided Classification of Active-Stress and Active-Strain Approaches for Continuum-Mechanical Modeling of Skeletal Muscle Tissue. Frontiers in Physiology, 12, 1–13. https://doi.org/10.3389/fphys.2021.685531

Gizzi, L., Vujaklija, I., Sartori, M., Röhrle, O., & Severini, G. (2021). Editorial: Somatosensory Integration in Human Movement: Perspectives for Neuromechanics, Modelling and Rehabilitation. 9. https://doi.org/10.3389/fbioe.2021.725603

Shuva, S., Buchfink, P., Röhrle, O., & Haasdonk, B. (2021). Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. International Conference on Large-Scale Scientific Computing, 402–409. https://doi.org/10.1007/978-3-030-97549-4_46

Lara, J., Cheng, L. K., Roehrle, O., & Paskaranandavadivel, N. (2021). Muscle-Specific High-Density Electromyography Arrays for Hand Gesture Classification. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/TBME.2021.3131297

Zhang, C., Shagieva, F., Widmann, M., Kübler, M., Vorobyov, V., Kapitanova, P., Nenasheva, E., Corkill, R., Röhrle, O., Nakamura, K., Sumiya, H., Onoda, S., Isoya, J., & Wrachtrup, J. (2021). Diamond Magnetometry and Gradiometry Towards Subpicotesla dc Field Measurement. Phys. Rev. Applied, 15, Article 6. https://doi.org/10.1103/PhysRevApplied.15.064075

Woodford, S. C., Robinson, D. L., Edelmann, C., Mehl, A., Röhrle, O., Lee, P. V. S., & Ackland, D. C. (2021). Low-Profile Electromagnetic Field Sensors in the Measurement and Modelling of Three-Dimensional Jaw Kinematics and Occlusal Loading. Annals of Biomedical Engineering, 49, Article 6. https://doi.org/10.1007/s10439-020-02688-6

Hessenthaler, A., Balmus, M., Röhrle, O., & Nordsletten, D. (2020). A class of analytic solutions for verification and convergence analysis of linear and nonlinear fluid-structure interaction algorithms. Computer Methods in Applied Mechanics and Engineering, 362, 112841. https://doi.org/10.1016/j.cma.2020.112841

Hessenthaler, A., Southworth, B. S., Nordsletten, D., Röhrle, O., Falgout, R. D., & Schroder, J. B. (2020). Multilevel convergence analysis of multigrid-reduction-in-time. SIAM Journal on Scientific Computing, 42, Article 2. https://doi.org/10.1137/19M1238812

Walter, J. R., Saini, H., Maier, B., Mostashiri, N., Aguayo, J. L., Zarshenas, H., Hinze, C., Shuva, S., Köhler, J., Sahrmann, A. S., Chang, C.-m., Csiszar, A., Galliani, S., Cheng, L. K., & Röhrle, O. (2020). Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 4775–4778. https://doi.org/10.1109/EMBC44109.2020.9176600

Asgharzadeh, P., Röhrle, O., Willie, B. M., & Birkhold, A. I. (2020). Decoding Rejuvenating Effects of Mechanical Loading on Skeletal Aging using in Vivo microCT Imaging and Deep Learning. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2020.02.007

Asgharzadeh, P., Birkhold, A. I., Trivedi, Z., Özdemir, B., Reski, R., & Röhrle, O. (2020). A NanoFE Simulation-based Surrogate Machine Learning Model to Predict Mechanical Functionality of Protein Networks from Live Confocal Imaging. Computational and Structural Biotechnology Journal, 18, 2774–2788. https://doi.org/10.1016/j.csbj.2020.09.024

Emamy, N., Litty, P., Klotz, T., Mehl, M., & Röhrle, O. (2020). POD-DEIM Model Order Reduction for the Monodomain Reaction-Diffusion Sub-Model of the Neuro-Muscular System. IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22--25, 2018, 177–190. https://doi.org/10.1007/978-3-030-21013-7_13

Saini, H., Ackland, D. C., Gong, L., Cheng, L. K., & Röhrle, O. (2020). Occlusal load modelling significantly impacts the predicted tooth stress response during biting: a simulation study. Computer Methods in Biomechanics and Biomedical Engineering, 1–10. https://doi.org/10.1080/10255842.2020.1711886

Klotz, T., Gizzi, L., Yavuz, U., & Röhrle, O. (2020). Modelling the electrical activity of skeletal muscle tissue using a multi-domain approach. Biomechanics and Modelling in Mechanobiology, 19, 335–349. https://doi.org/10.1007/s10237-019-01214-5

Altan, E., Seide, S., Bayram, I., Gizzi, L., Ertan, H., & Röhrle, O. (2020). A systematic review and meta-analysis on the longitudinal effects of unilateral knee extension exercise on muscle strength. Frontiers in Sports and Active Living, 2. https://dx.doi.org/10.3389%2Ffspor.2020.518148

Gizzi, L., Röhrle, O., Petzke, F., & Falla, D. (2019). People with low back pain show reduced movement complexity during their most active daily tasks. European Journal of Pain, 23, Article 2. https://doi.org/10.1002/ejp.1318

Tomalka, A., Röhrle, O., Han, J.-C., Pham, T., Taberner, A. J., & Siebert, T. (2019). Extensive eccentric contractions in intact cardiac trabeculae: revealing compelling differences in contractile behaviour compared to skeletal muscles. Proceedings of the Royal Society B, 286, Article 1903. https://doi.org/10.1098/rspb.2019.0719

Schmid, L., Klotz, T., Siebert, T., & Röhrle, O. (2019). Characterization of electromechanical delay based on a biophysical multi-scale skeletal muscle model. Frontiers in Physiology, 10, 1270. https://doi.org/10.3389/fphys.2019.01270

Röhrle, O., Yavuz, U. S., Klotz, T., Negro, F., & Heidlauf, T. (2019). Multiscale modeling of the neuromuscular system: Coupling neurophysiology and skeletal muscle mechanics. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, e1457. https://doi.org/10.1002/wsbm.1457

Bleiler, C., Ponte Castañeda, P., & Röhrle, O. (2019). A microstructurally-based, multi-scale, continuum-mechanical model for the passive behaviour of skeletal muscle tissue. Journal of the Mechanical Behavior of Biomedical Materials, 97, 171–186. https://doi.org/10.1016/j.jmbbm.2019.05.012

Reski, R., Özdemir, B., Asgharzadeh, P., Birkhold, A., & Röhrle, O. (2019). The plastid skeleton: a source of ideas in the nano range. In Biomimetics for Architecture. Learning from Nature (pp. 163–166). Birkhäuser.

Hessenthaler, A., Nordsletten, D., Röhrle, O., Schroder, J. B., & Falgout, R. D. (2018). Convergence of the multigrid reduction in time algorithm for the linear elasticity equations. Numerical Linear Algebra with Applications, 25, Article 3. https://doi.org/10.1002/nla.2155

Özdemir, B., Asgharzadeh, P., Birkhold, A. I., Mueller, S. J., Röhrle, O., & Reski, R. (2018). Cytological analysis and structural quantification of FtsZ1-2 and FtsZ2-1 network characteristics in Physcomitrella patens. Scientific Reports, 8, Article 1. https://doi.org/10.1038/s41598-018-29284-y

Asgharzadeh, P., Özdemir, B., Reski, R., Röhrle, O., & Birkhold, A. I. (2018). Computational 3D imaging to quantify structural components and assembly of protein networks. Acta Biomaterialia, 69, 206–217. https://doi.org/10.1016/j.actbio.2018.01.020

Eggs, B., Birkhold, A. I., Röhrle, O., & Betz, O. (2018). Structure and function of the musculoskeletal ovipositor system of an ichneumonid wasp. BMC Zoology, 3, Article 1. https://doi.org/10.1186/s40850-018-0037-2

Röhrle, O. (2018). Skeletal Muscle Modelling. Encyclopaedia for Continuum Mechanics Section Biomechanics.

Röhrle, O., Saini, H., Lee, P. V., & Ackland, D. C. (2018). A novel computational method to determine subject-specific bite force and occlusal loading during mastication. Computer Methods in Biomechanics and Biomedical Engineering, 21, Article 6. https://doi.org/10.1080/10255842.2018.1479744

Hoekstra, A. G., van de Vosse, F., & Röhrle, O. (2018). The virtual physiological human conference 2016. Journal of Computational Science, 24, 65–67. https://doi.org/10.1016/j.jocs.2017.11.014

Schneider, M., Buschbaum, J., Joeris, A., Röhrle, O., Dwyer, J., Hunter, J. B., Reynolds, R. A., Slongo, T. F., Gueorguiev, B., & Varga, P. (2018). Biomechanical investigation of two long bone growth modulation techniques by finite element simulations. Journal of Orthopaedic Research®, 36, Article 5. https://doi.org/10.1002/jor.23762

Bradley, C. P., Emamy, N., Ertl, T., Göddeke, D., Hessenthaler, A., Klotz, T., Krämer, A., Krone, M., Maier, B., Mehl, M., Rau, T., & Röhrle, O. (2018). Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. Frontiers in Physiology, 9. https://doi.org/10.3389/fphys.2018.00816

Ramasamy, E., Avci, O., Dorow, B., Chong, S.-Y., Gizzi, L., Steidle, G., Schick, F., & Röhrle, O. (2018). An efficient modelling-simulation-analysis workflow to investigate stump-socket interaction using patient-specific, three-dimensional, continuum-mechanical, finite element residual limb models. Frontiers in Bioengineering and Biotechnology, 6. https://dx.doi.org/10.3389%2Ffbioe.2018.00126

Valentin, J., Sprenger, M., Pflüger, D., & Röhrle, O. (2018). Gradient-based optimization with B-splines on sparse grids for solving forward-dynamics simulations of three-dimensional, continuum-mechanical musculoskeletal system models. International Journal for Numerical Methods in Biomedical Engineering, 34, Article 5. https://doi.org/10.1002/cnm.2965

Roehrle, O., Saini, H., & Ackland, D. C. (2018). Occlusal loading during biting from an experimental and simulation point of view. Dental Materials, 34, Article 1. https://doi.org/10.1016/j.dental.2017.09.005

Krohn, B., Sathar, S., Röhrle, O., Vanderwinden, J.-M., O’Grady, G., & Cheng, L. K. (2017). A framework for simulating gastric electrical propagation in confocal microscopy derived geometries. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4215–4218. https://doi.org/10.1109/EMBC.2017.8037786

Mordhorst, M., Strecker, T., Wirtz, D., Heidlauf, T., & Röhrle, O. (2017). POD-DEIM reduction of computational EMG models. Journal of Computational Science, 19, 86–96. https://doi.org/10.1016/j.jocs.2017.01.009

Hessenthaler, A., Gaddum, N., Holub, O., Sinkus, R., Röhrle, O., & Nordsletten, D. (2017). Experiment for validation of fluid-structure interaction models and algorithms. International Journal for Numerical Methods in Biomedical Engineering, 33, Article 9. https://dx.doi.org/10.1002%2Fcnm.2848

Hessenthaler, A., Röhrle, O., & Nordsletten, D. (2017). Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI. International Journal for Numerical Methods in Biomedical Engineering, 33, Article 8. https://doi.org/10.1002/cnm.2845

Röhrle, O., Sprenger, M., & Schmitt, S. (2017). A two-muscle, continuum-mechanical forward simulation of the upper limb. Biomechanics and Modeling in Mechanobiology, 16, Article 3. https://doi.org/10.1007/s10237-016-0850-x

Zderic, I., Steinmetz, P., Benneker, L. M., Sprecher, C., Röhrle, O., Windolf, M., Boger, A., & Gueorguiev, B. (2017). Bone cement allocation analysis in artificial cancellous bone structures. Journal of Orthopaedic Translation, 8, 40–48. https://doi.org/10.1016/j.jot.2016.09.002

Heidlauf, T., Klotz, T., Rode, C., Siebert, T., & Röhrle, O. (2017). A continuum-mechanical skeletal muscle model including actin-titin interaction predicts stable contractions on the descending limb of the force-length relation. PLoS Computational Biology, 13, Article 10. https://doi.org/10.1371/journal.pcbi.1005773

Chong, S.-Y., & Röhrle, O. (2016). Exploring the Use of Non-Image-Based Ultrasound to Detect the Position of the Residual Femur within a Stump. PloS One, 11, Article 10. https://dx.doi.org/10.1371%2Fjournal.pone.0164583

Asgharzadeh, P., Özdemir, B., Müller, S. J., Röhrle, O., & Reski, R. (2016). Analysis of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nano-scale. In Biomimetic Research for Architecture and Building Construction (pp. 261–275). Springer, Cham. https://doi.org/10.1007/978-3-319-46374-2_13

Steinmetz, P., Benneker, L. M., Röhrle, O., Windolf, M., Boger, A., & Gueorguiev, B. (2016). Bone cement allocation analysis in artificial cancellous bone structures. Journal of Orthopaedic Translation, 20, 1e9.

Asgharzadeh, P., Özdemir, B., Müller, S. J., Reski, R., & Röhrle, O. (2016). Analysis of confocal microscopy image data of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nanoscale. Pamm, 16, Article 1.

Betz, O., Birkhold, A., Caliaro, M., Eggs, B., Mader, A., Knippers, J., Röhrle, O., & Speck, O. (2016). Adaptive stiffness and joint-free kinematics: actively actuated rod-shaped structures in plants and animals and their biomimetic potential in architecture and engineering. In Biomimetic Research for Architecture and Building Construction (pp. 135–167). Springer, Cham.

Röhrle, O., Neumann, V., & Heidlauf, T. (2016). The role of parvalbumin, sarcoplasmatic reticulum calcium pump rate, rates of cross-bridge dynamics, and ryanodine receptor calcium current on peripheral muscle fatigue: a simulation study. Computational and Mathematical Methods in Medicine, 2016. https://doi.org/10.1155/2016/3180205

Heidlauf, T., Klotz, T., Rode, C., Altan, E., Bleiler, C., Siebert, T., & Röhrle, O. (2016). A multi-scale continuum model of skeletal muscle mechanics predicting force enhancement based on actin--titin interaction. Biomechanics and Modeling in Mechanobiology, 15, Article 6. https://doi.org/10.1007/s10237-016-0772-7

Kupczik, K., Stark, H., Mundry, R., Neininger, F. T., Heidlauf, T., & Röhrle, O. (2015). Reconstruction of muscle fascicle architecture from iodine-enhanced microCT images: a combined texture mapping and streamline approach. Journal of Theoretical Biology, 382, 34–43.

Schmitt, S., Lechler, A., & Röhrle, O. (2015). Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen (pp. 178–184). Springer Vieweg.

Bleiler, C., Wagner, A., Stadelmann, V. A., Windolf, M., Köstler, H., Boger, A., Gueorguiev-Rüegg, B., Ehlers, W., & Röhrle, O. (2015). Multiphasic modelling of bone-cement injection into vertebral cancellous bone. International Journal for Numerical Methods in Biomedical Engineering, 31, Article 1.

Chong, S.-Y., Dorow, B., Ramasamy, E., Dennerlein, F., & Röhrle, O. (2015). The use of collision detection to infer multi-camera calibration quality. Frontiers in Bioengineering and Biotechnology, 3, 65.

Kleiner, B., Röhrle, O., Hülsmann, A., & Röhrle, A. (2015). Mobile radar-basierte Umgebungsvermessung unter Anwendung von Sensorfusion mittels Intrarotkamera und Inertialsensorik.

Mordhorst, M., Heidlauf, T., & Röhrle, O. (2015). Predicting electromyographic signals under realistic conditions using a multiscale chemo--electro--mechanical finite element model. Interface Focus, 5, Article 2.

Röhrle, O. (2014). Verfahren zur Bestimmung einer Beißkraft.

Heidlauf, T., & Röhrle, O. (2014). A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements. Frontiers in Physiology, 5, 498.

Kieser, J., Farland, M., Jack, H., Farella, M., Wang, Y., & Rohrle, O. (2014). The role of oral soft tissues in swallowing function: what can tongue pressure tell us? Australian Dental Journal, 59, 155–161.

Ramasamy, E., Dorow, B., Schneider, U., & Roehrle, O. (2014). Simulation-assisted prosthetic design. Biomedical Engineering-Biomedizinische Technik, 59, S1021––S1021.

Heidlauf, T., & Röhrle, O. (2013). Modeling the chemoelectromechanical behavior of skeletal muscle using the parallel open-source software library OpenCMISS. Computational and Mathematical Methods in Medicine, 2013.

Wang, Y. K., Nash, M. P., Pullan, A. J., Kieser, J. A., & Röhrle, O. (2013). Model-based identification of motion sensor placement for tracking retraction and elongation of the tongue. Biomechanics and Modeling in Mechanobiology, 12, Article 2.

Karajan, N., Röhrle, O., Ehlers, W., & Schmitt, S. (2013). Linking continuous and discrete intervertebral disc models through homogenisation. Biomechanics and Modeling in Mechanobiology, 12, Article 3.

Wang, Y., Gamage, T. P. B., Nielsen, P. M., Röhrle, O., & Nash, M. P. (2013). Identification of tongue muscle fibre group contraction from MR images. In Computational Biomechanics for Medicine (pp. 185–196). Springer, New York, NY.

Heidlauf, T., Negro, F., Farina, D., & Röhrle, O. (2013). An integrated model of the neuromuscular system. 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 227–230.

Röhrle, O., Sprenger, M., Ramasamy, E., & Heidlauf, T. (2013). Multiscale skeletal muscle modeling: from cellular level to a multi-segment skeletal muscle model of the upper limb. In Computer models in biomechanics (pp. 103–116). Springer, Dordrecht.

Günther, M., Haeufle, D. F. B., Röhrle, O., & Schmitt, S. (2012). Spreading out muscle mass within a Hill-type model: A computer simulation study. Computational and Mathematical Methods in Medicine, 848630 (13pp). https://doi.org/10.1155/2012/848630

Röhrle, O., Davidson, J. B., & Pullan, A. J. (2012). A physiologically based, multi-scale model of skeletal muscle structure and function. Frontiers in Physiology, 3, 358.