Publications

Publications of Members of the Institute for Modelling and Simulation of Biomechanical Systems

International, peer-reviewed Publications

  1. 2020

    1. Emamy N, Litty P, Klotz T, Mehl M, Röhrle O. POD-DEIM Model Order Reduction for the Monodomain Reaction-Diffusion Sub-Model of the Neuro-Muscular System. In: IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22--25, 2018. Springer, Cham; 2020. p. 177--190. (IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22--25, 2018).

  2. 2019

    1. Schmitt S, Günther M, Häufle DF. The dynamics of the skeletal muscle: A systems biophysics perspective on muscle modeling with the focus on Hill-type muscle models. GAMM-Mitteilungen. 2019;e201900013.
    2. Hammer M, Günther M, Haeufle DFB, Schmitt S. Tailoring anatomical muscle paths: a sheath-like solution for muscle routing in musculoskeletal computer models. Mathematical Biosciences [Internet]. 2019;311:68–81. Available from: http://www.sciencedirect.com/science/article/pii/S0025556418302542
    3. Röhrle O, Yavuz US, Klotz T, Negro F, Heidlauf T. Multiscale modeling of the neuromuscular system: Coupling neurophysiology and skeletal muscle mechanics. Wiley Interdisciplinary Reviews: Systems Biology and Medicine. 2019;e1457.
    4. Klotz T, Gizzi L, Yavuz U, Röhrle O. Modelling the electrical activity of skeletal muscle tissue using a multi-domain approach. Journal of Biomechanics and Mechanobiology. 2019;
    5. Tomalka A, Röhrle O, Han J-C, Pham T, Taberner AJ, Siebert T. Extensive eccentric contractions in intact cardiac trabeculae: revealing compelling differences in contractile behaviour compared to skeletal muscles. Proceedings of the Royal Society B. 2019;286(1903):20190719.
    6. Asgharzadeh P, Röhrle O, Willie BM, Birkhold AI. Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning. arXiv preprint arXiv:190508099. 2019;
    7. Schmid L, Klotz T, Siebert T, Röhrle O. Characterization of electromechanical delay based on a biophysical multi-scale skeletal muscle model. Frontiers in Physiology [Internet]. 2019;10:1270. Available from: https://www.frontiersin.org/article/10.3389/fphys.2019.01270
    8. Bleiler C, Castañeda PP, Röhrle O. A microstructurally-based, multi-scale, continuum-mechanical model for the passive behaviour of skeletal muscle tissue. Journal of the mechanical behavior of biomedical materials. 2019;97:171--186.
    9. Hessenthaler A, Balmus M, Röhrle O, Nordsletten D. A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction Algorithms. arXiv preprint arXiv:190604033. 2019;

  3. 2018

    1. Hoekstra AG, van de Vosse F, Röhrle O. The virtual physiological human conference 2016. Journal of computational science. 2018;24:65--67.
    2. Haeufle DF, Schmortte B, Geyer H, Müller R, Schmitt S. The benefit of combining neuronal feedback and feed-forward control for robustness in step down perturbations of simulated human walking depends on the muscle function. Frontiers in Computational Neuroscience. 2018;12:80.
    3. Günther M, Häufle D, Schmitt S. The basic mechanical structure of the skeletal muscle machinery: One model for linking microscopic and macroscopic scales. 2018;
    4. Günther M, Haeufle DF, Schmitt S. The basic mechanical structure of the skeletal muscle machinery: One model for linking microscopic and macroscopic scales. Journal of Theoretical Biology. 2018;456:137--167.
    5. Eggs B, Birkhold AI, Röhrle O, Betz O. Structure and function of the musculoskeletal ovipositor system of an ichneumonid wasp. BMC Zoology. 2018;3(1):12.
    6. Röhrle O. Skeletal Muscle Modelling. Encyclopaedia for Continuum Mechanics Section Biomechanics. 2018;
    7. Saini H, Altan E, Ramasamy E, Klotz T, Gizzi L, Röhrle O. Predicting Skeletal Muscle Force from Motor-Unit Activity using a 3D FE Model. PAMM. 2018;18(1):e201800035.
    8. Suissa D, Günther M, Shapiro A, Melzer I, Schmitt S. On Laterally Perturbed Human Stance: Experiment, Model, and Control. Applied Bionics and Biomechanics [Internet]. 2018;2018:20. Available from: https://doi.org/10.1155/2018/4767624
    9. Roehrle O, Saini H, Ackland DC. Occlusal loading during biting from an experimental and simulation point of view. Dental Materials. 2018;34(1):58--68.
    10. Hessenthaler A, Southworth BS, Nordsletten D, Röhrle O, Falgout RD, Schroder JB. Multilevel convergence analysis of multigrid-reduction-in-time. arXiv preprint arXiv:181211508. 2018;
    11. Driess D, Zimmermann H, Wolfen S, Suissa D, Haeufle D, Hennes D, et al. Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. In: Proc of the International Conference on Robotics and Automation. 2018. (Proc. of the International Conference on Robotics and Automation).
    12. Valentin J, Sprenger M, Pflüger D, Röhrle O. 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. 2018;34(5):e2965.
    13. Bradley CP, Emamy N, Ertl T, Göddeke D, Hessenthaler A, Klotz T, et al. Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. FRONTIERS IN PHYSIOLOGY. 2018;9.
    14. Bradley CP, Emamy N, Ertl T, Göddeke D, Hessenthaler A, Klotz T, et al. Enabling detailed, biophysics-based skeletal muscle models on hpc systems. Frontiers in physiology. 2018;9.
    15. Özdemir B, Asgharzadeh P, Birkhold AI, Mueller SJ, Röhrle O, Reski R. Cytological analysis and structural quantification of FtsZ1-2 and FtsZ2-1 network characteristics in Physcomitrella patens. Scientific reports. 2018;8(1):11165.
    16. Hessenthaler A, Nordsletten D, Röhrle O, Schroder JB, Falgout RD. Convergence of the multigrid reduction in time algorithm for the linear elasticity equations. Numerical Linear Algebra with Applications. 2018;25(3):e2155.
    17. Asgharzadeh P, Özdemir B, Reski R, Röhrle O, Birkhold AI. Computational 3D imaging to quantify structural components and assembly of protein networks. Acta biomaterialia. 2018;69:206--217.
    18. Schneider M, Buschbaum J, Joeris A, Röhrle O, Dwyer J, Hunter JB, et al. Biomechanical investigation of two long bone growth modulation techniques by finite element simulations. Journal of Orthopaedic Research®. 2018;36(5):1398--1405.
    19. Wolfen S, Walter J, Günther M, Haeufle DFB, Schmitt S. Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups. In: 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). 2018. p. 1--6. (2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)).
    20. Ramasamy E, Avci O, Dorow B, Chong S-Y, Gizzi L, Steidle G, et al. 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. 2018;6.
    21. Röhrle O, Saini H, Lee PV, Ackland DC. A novel computational method to determine subject-specific bite force and occlusal loading during mastication. Computer methods in biomechanics and biomedical engineering. 2018;21(6):453--460.

  4. 2017

    1. Brown N, Bubeck D, Haeufle DFB, Weickenmeier J, Kuhl E, Alt W, et al. Weekly Time Course of Neuro-Muscular Adaptation to Intensive Strength Training. Frontiers in Physiology [Internet]. 2017;8:329. Available from: http://journal.frontiersin.org/article/10.3389/fphys.2017.00329
    2. Hessenthaler A, Röhrle O, Nordsletten D. Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI. International journal for numerical methods in biomedical engineering. 2017;33(8):e2845.
    3. Bayer A, Schmitt S, Günther M, Haeufle D. The influence of biophysical muscle properties on simulating fast human arm movements. Computer Methods in Biomechanics and Biomedical Engineering. 2017;20(8):803--821.
    4. Christensen KB, Günther M, Schmitt S, Siebert T. Strain in shock-loaded skeletal muscle and the time scale of muscular wobbling mass dynamics. Scientific Reports [Internet]. 2017;7(1):13266. Available from: https://doi.org/10.1038/s41598-017-13630-7
    5. Mordhorst M, Strecker T, Wirtz D, Heidlauf T, Röhrle O. POD-DEIM reduction of computational EMG models. Journal of Computational Science. 2017;19:86--96.
    6. Kleinbach C, Martynenko O, Promies J, Haeufle DF, Fehr J, Schmitt S. Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. Biomedical Engineering Online. 2017;16(1):109.
    7. Hessenthaler A, Gaddum N, Holub O, Sinkus R, Röhrle O, Nordsletten D. Experiment for validation of fluid-structure interaction models and algorithms. International journal for numerical methods in biomedical engineering. 2017;33(9):e2848.
    8. Lindemann U, Schwenk M, Schmitt S, Weyrich M, Schlicht W, Becker C. Effect of uphill and downhill walking on walking performance in geriatric patients using a wheeled walker. Zeitschrift für Gerontologie und Geriatrie. 2017;50(6):483--487.
    9. Rockenfeller R, Günther M, Schmitt S, Götz T. Corrigendum to “Comparative Sensitivity Analysis of Muscle Activation Dynamics.” Computational and Mathematical Methods in Medicine [Internet]. 2017;2017:2. Available from: https://doi.org/10.1155/2017/6752731
    10. Zderic I, Steinmetz P, Benneker LM, Sprecher C, Röhrle O, Windolf M, et al. Bone cement allocation analysis in artificial cancellous bone structures. Journal of orthopaedic translation. 2017;8:40--48.
    11. Röhrle O, Sprenger M, Schmitt S. A two-muscle, continuum-mechanical forward simulation of the upper limb. Biomechanics and Modeling in Mechanobiology [Internet]. 2017;16(3):743--762. Available from: https://doi.org/10.1007/s10237-016-0850-x
    12. Krohn B, Sathar S, Röhrle O, Vanderwinden J-M, O’Grady G, Cheng LK. A framework for simulating gastric electrical propagation in confocal microscopy derived geometries. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; 2017. p. 4215--4218. (2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)).
    13. Heidlauf T, Klotz T, Rode C, Siebert T, Röhrle O. 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. 2017;13(10):e1005773.
    14. Heidlauf T, Klotz T, Rode C, Siebert T, Röhrle O. 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. 2017;13(10).

  5. 2016

    1. Röhrle O, Neumann V, Heidlauf T. 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;2016.
    2. Fernandez J, Zhang J, Heidlauf T, Sartori M, Besier T, Röhrle O, et al. Multiscale musculoskeletal modelling, data--model fusion and electromyography-informed modelling. Interface focus. 2016;6(2):20150084.
    3. Heidlauf T, Klotz T, Rode C, Siebert T, Röhrle O. Force enhancement and stability of finite element muscle models. PAMM. 2016;16(1):85--86.
    4. Haeufle DF, Bäuerle T, Steiner J, Bremicker L, Schmitt S, Bechinger C. External control strategies for self-propelled particles: Optimizing navigational efficiency in the presence of limited resources. Physical Review E. 2016;94(1):012617.
    5. Chong S-Y, Röhrle O. Exploring the Use of Non-Image-Based Ultrasound to Detect the Position of the Residual Femur within a Stump. PloS one. 2016;11(10):e0164583.
    6. Ghazi-Zahedi K, Haeufle DF, Montúfar G, Schmitt S, Ay N. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI. 2016;3:42.
    7. Steinmetz P, Benneker LM, Röhrle O, Windolf M, Boger A, Gueorguiev B. Bone cement allocation analysis in artificial cancellous bone structures. Journal of Orthopaedic Translation. 2016;20:1e9.
    8. Hochstein S, Rauschenberger P, Weigand B, Siebert T, Schmitt S, Schlicht W, et al. Assessment of physical activity of the human body considering the thermodynamic system. Computer Methods in Biomechanics and Biomedical Engineering. 2016;19(9):923–33.
    9. Asgharzadeh P, Özdemir B, Müller SJ, Röhrle O, Reski R. Analysis of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nano-scale. In: Biomimetic Research for Architecture and Building Construction. Springer, Cham; 2016. p. 261--275. (Biomimetic Research for Architecture and Building Construction).
    10. Betz O, Birkhold A, Caliaro M, Eggs B, Mader A, Knippers J, et al. 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. Springer, Cham; 2016. p. 135--167. (Biomimetic Research for Architecture and Building Construction).
    11. Heidlauf T, Klotz T, Rode C, Altan E, Bleiler C, Siebert T, et al. A multi-scale continuum model of skeletal muscle mechanics predicting force enhancement based on actin--titin interaction. Biomechanics and modeling in mechanobiology. 2016;15(6):1423--1437.

  6. 2015

    1. Chong S-Y, Dorow B, Ramasamy E, Dennerlein F, Röhrle O. The use of collision detection to infer multi-camera calibration quality. Frontiers in Bioengineering and Biotechnology. 2015;3:65.
    2. Kupczik K, Stark H, Mundry R, Neininger FT, Heidlauf T, Röhrle O. Reconstruction of muscle fascicle architecture from iodine-enhanced microCT images: a combined texture mapping and streamline approach. Journal of theoretical biology. 2015;382:34--43.
    3. Mordhorst M, Heidlauf T, Röhrle O. Predicting electromyographic signals under realistic conditions using a multiscale chemo--electro--mechanical finite element model. Interface focus. 2015;5(2):20140076.
    4. Bleiler C, Wagner A, Stadelmann VA, Windolf M, Köstler H, Boger A, et al. Multiphasic modelling of bone-cement injection into vertebral cancellous bone. International journal for numerical methods in biomedical engineering. 2015;31(1).
    5. Heidlauf T. Modelling the Neuromuscular System. 2015.
    6. Schmitt S, Lechler A, Röhrle O. Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen: Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen. In Berlin: Springer Vieweg; 2015. p. 178–84.
    7. Kleiner B, Röhrle O, Hülsmann A, Röhrle A. Mobile radar-basierte Umgebungsvermessung unter Anwendung von Sensorfusion mittels Intrarotkamera und Inertialsensorik. 2015.
    8. Schmitt S, Haeufle D. Mechanics and thermodynamics of biological muscle--a simple model approach. In: Soft Robotics. Springer; 2015. p. 134--144. (Soft Robotics).
    9. Rockenfeller R, Günther M, Schmitt S, Götz T. Comparative sensitivity analysis of muscle activation dynamics. Computational and Mathematical Methods in Medicine. 2015;2015.
    10. Rupp T, Ehlers W, Karajan N, Günther M, Schmitt S. A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles. Biomechanics and Modeling in Mechanobiology. 2015;14(5):1081--1105.
    11. Sprenger M. A 3D Continuum-Mechanical Model for Forward-Dynamics Simulations of the Upper Limb. 2015.

  7. 2014

    1. Röhrle O. Verfahren zur Bestimmung einer Beißkraft. 2014.
    2. Kieser J, Farland M, Jack H, Farella M, Wang Y, Rohrle O. The role of oral soft tissues in swallowing function: what can tongue pressure tell us? Australian dental journal. 2014;59:155--161.
    3. Ramasamy E, Dorow B, Schneider U, Roehrle O. Simulation-assisted prosthetic design. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK. 2014;59:S1021--S1021.
    4. Haeufle D, Günther M, Wunner G, Schmitt S. Quantifying control effort of biological and technical movements: an information-entropy-based approach. Physical Review E. 2014;89(1):012716.
    5. David S, Schmitt S, Utz J, Hub A, Schlicht W. Navigation within buildings: Novel movement detection algorithms supporting people with visual impairments. Research in Developmental Disabilities [Internet]. 2014;35(9):2026–34. Available from: http://www.sciencedirect.com/science/article/pii/S0891422214002005
    6. Haeufle D, Günther M, Bayer A, Schmitt S. Hill-type muscle model with serial damping and eccentric force--velocity relation. Journal of Biomechanics. 2014;47(6):1531--1536.
    7. Heidlauf T, Röhrle O. A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements. Frontiers in physiology. 2014;5:498.

  8. 2013

    1. Schmitt S, Günther M, Rupp T, Bayer A, Häufle D. Theoretical Hill-type muscle and stability: numerical model and application. Computational and Mathematical Methods in Medicine. 2013;2013:570878.
    2. Röhrle O, Sprenger M, Ramasamy E, Heidlauf T. Multiscale skeletal muscle modeling: from cellular level to a multi-segment skeletal muscle model of the upper limb. In: Computer models in biomechanics. Springer, Dordrecht; 2013. p. 103--116. (Computer models in biomechanics).
    3. Heidlauf T, Röhrle O. Modeling the chemoelectromechanical behavior of skeletal muscle using the parallel open-source software library OpenCMISS. Computational and mathematical methods in medicine. 2013;2013.
    4. Wang YK, Nash MP, Pullan AJ, Kieser JA, Röhrle O. Model-based identification of motion sensor placement for tracking retraction and elongation of the tongue. Biomechanics and modeling in mechanobiology. 2013;12(2):383--399.
    5. Karajan N, Röhrle O, Ehlers W, Schmitt S. Linking continuous and discrete intervertebral disc models through homogenisation. Biomechanics and Modeling in Mechanobiology [Internet]. 2013;12(3):453--466. Available from: https://doi.org/10.1007/s10237-012-0416-5
    6. Wang Y, Gamage TPB, Nielsen PM, Röhrle O, Nash MP. Identification of tongue muscle fibre group contraction from MR images. In: Computational Biomechanics for Medicine. Springer, New York, NY; 2013. p. 185--196. (Computational Biomechanics for Medicine).
    7. Heidlauf T, Negro F, Farina D, Röhrle O. An integrated model of the neuromuscular system. In: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE; 2013. p. 227--230. (2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)).

  9. 2012

    1. Günther M, Röhrle O, Haeufle DF, Schmitt S. Spreading out muscle mass within a Hill-type model: a computer simulation study. Computational and Mathematical Methods in Medicine. 2012;2012.
    2. Kim JH, Trew ML, Pullan AJ, Röhrle O. Simulating a dual-array electrode configuration to investigate the influence of skeletal muscle fatigue following functional electrical stimulation. Computers in biology and medicine. 2012;42(9):915--924.
    3. Häufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept: model based bionic muscle with hyperbolic force-velocity relation. Applied Bionics and Biomechanics. 2012;9(3):276–274.
    4. Schmitt S, Haeufle D, Blickhan R, Günther M. Nature as an engineer: one simple concept of a bio-inspired functional artificial muscle. Bioinspiration & Biomimetics. 2012;7(3):036022.
    5. Karajan N, Rupp T, Röhrle O, Ehlers W, Schmitt S. HOMOGENISATION LINKS CONTINUOUS AND DISCRETE INTERVERTEBRAL DISC MODELS--A SIMULATION STUDY. Journal of Biomechanics. 2012;(45):S472.
    6. Mörl F, Siebert T, Schmitt S, Blickhan R, Guenther M. Electro-mechanical delay in Hill-type muscle models. Journal of Mechanics in Medicine and Biology. 2012;12(05):1250085.
    7. Haeufle D, Günther M, Blickhan R, Schmitt S. Can quick release experiments reveal the muscle structure? A bionic approach. Journal of Bionic Engineering. 2012;9(2):211--223.
    8. Röhrle O, Davidson JB, Pullan AJ. A physiologically based, multi-scale model of skeletal muscle structure and function. Frontiers in physiology. 2012;3:358.
    9. Haeufle DFB, Taylor MD, Schmitt S, Geyer H. A clutched parallel elastic actuator concept: Towards energy efficient powered legs in prosthetics and robotics. In: 2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). 2012. p. 1614–9. (2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)).

  10. 2011

    1. Röhrle O, Köstler H, Loch M. Segmentation of skeletal muscle fibres for applications in computational skeletal muscle mechanics. In: Computational Biomechanics for Medicine. Springer, New York, NY; 2011. p. 107--117. (Computational Biomechanics for Medicine).
    2. Häufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept of an artificial muscle: theoretical model, numerical model and hardware experiment. In: Proceedings of the 12th IEEE International Conference on Rehabilitation Robotics. 2011. p. 8 pages. (Proceedings of the 12th IEEE International Conference on Rehabilitation Robotics).
    3. Bradley C, Bowery A, Britten R, Budelmann V, Camara O, Christie R, et al. OpenCMISS: a multi-physics & multi-scale computational infrastructure for the VPH/Physiome project. Progress in biophysics and molecular biology. 2011;107(1):32--47.
    4. Rupp T, Schmitt S. Inverse dynamics of the lower extremities: novel approach considering upper and lower ankle joint axis. Journal of Mechanics in Medicine and Biology. 2011;13 pages.
    5. Schmitt S, Günther M. Human leg impact: energy dissipation of wobbling masses. Archive of Applied Mechanics [Internet]. 2011;81(7):887--897. Available from: https://doi.org/10.1007/s00419-010-0458-z

  11. 2010

    1. Blickhan R, Günther M, Schmitt S. Vorrichtung zur Nachbildung des Bewegungsverhaltens eines natürlichen Muskels. Europäisches Patentamt; 2010. Report No.: PCT/DE 2010/000160.
    2. Rohrle O. Simulating the electro-mechanical behavior of skeletal muscles. Computing in Science & Engineering. 2010;12(6):48--58.
    3. Häufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept: model based bionic muscle with hyperbolic force-velocity relation. In: Proceedings of the first International Conference of Applied Biomechanics and Bionics. 2010. p. 7 pages. (Proceedings of the first International Conference of Applied Biomechanics and Bionics).
    4. Schmid H, Watton P, Maurer M, Wimmer J, Winkler P, Wang Y, et al. Impact of transmural heterogeneities on arterial adaptation. Biomechanics and modeling in mechanobiology. 2010;9(3):295--315.
    5. Smith NP, Budgett DM, Hunter PJ, Malcolm DTK, Cheng LK-W, Nash MP, et al. Biophysical virtual model database and applications. 2010.
    6. Günther M, Schmitt S. A macroscopic ansatz to deduce the Hill relation. Journal of Theoretical Biology. 2010;263(4):407--418.

  12. 2009

    1. Röhrle O, Waddell JN, Foster KD, Saini H, Pullan AJ. Using a motion-capture system to record dynamic articulation for application in CAD/CAM software. Journal of Prosthodontics: Implant, Esthetic and Reconstructive Dentistry. 2009;18(8):703--710.
    2. Schmitt S, Melnyk M, Alt W, Gollhofer A. Novel approach for a precise determination of short-time intervals in ankle sprain experiments. Journal of Biomechanics. 2009;42:2823–5.
    3. Melnyk M, Schloz C, Schmitt S, Gollhofer A. Neuromuscular ankle joint stabilisation after 4-weeks WBV training. International Journal of Sports Medicine. 2009;30(6):461--466.
    4. Ehlers W, Markert B, Röhrle O. Computational continuum biomechanics with application to swelling media and growth phenomena. GAMM-Mitteilungen. 2009;32(2):135--156.
    5. Ehlers W, Markert B, Röhrle O, editors. Biomechanics. GAMM-Mitteilungen; 2009.
    6. Saini H, Wadell J, Pullan A, Röhrle O. Automatically generating subject-specific functional tooth surfaces using virtual mastication. Annals of biomedical engineering. 2009;37(8):1646--1653.

  13. 2008

    1. Blickhan R, Günther M, Schmitt S. Vorrichtung zur Nachbildung des Bewegungsverhaltens eines natürlichen Muskels. Deutsches Patent- und Markenamt; 2008. Report No.: DE 10 2008 058 604.8.
    2. Xu W, Bronlund J, Potgieter J, Foster K, Röhrle O, Pullan A, et al. Review of the human masticatory system and masticatory robotics. Mechanism and Machine Theory. 2008;43(11):1353--1375.
    3. Röhrle O, Davidson JB, Pullan AJ. Bridging scales: a three-dimensional electromechanical finite element model of skeletal muscle. SIAM Journal on Scientific Computing. 2008;30(6):2882--2904.

  14. 2007

    1. Röhrle O, Pullan AJ. Three-dimensional finite element modelling of muscle forces during mastication. Journal of biomechanics. 2007;40(15):3363--3372.
    2. Schmitt S, Kettler A, Mutschler H, Schmidt H, Ruder H, Wilke H-J. Simulation von Störungen auf die Lumbalwirbelsäule - eine Projektskizze. In: VDI Berichte Nr. 2002, editor. Humanschwingungen. Düsseldorf, VDI; 2007. p. 277–91. (VDI Berichte Nr. 2002, editor. Humanschwingungen).
    3. Wangerin M, Schmitt S, Stapelfeldt B, Gollhofer A. Inverse Dynamics in Cycling Performance. In: Buzug T, editor. Advances in Medical Engineering. Springer; 2007. p. 329--334. (Buzug T, editor. Advances in Medical Engineering).
    4. Kim JH, Davidson JB, Röhrle O, Soboleva TK, Pullan AJ. Anatomically based lower limb nerve model for electrical stimulation. Biomedical engineering online. 2007;6(1):48.
    5. Schmid H, Nash M, Young A, Röhrle O, Hunter P. A computationally efficient optimization kernel for material parameter estimation procedures. Journal of biomechanical engineering. 2007;129(2):279--283.

  15. 2006

    1. Schmitt S. Über die Anwendung und Modifikation des Hill’schen Muskelmodells in der Biomechanik. [Tübingen]: Eberhard-Karls-Universität; 2006.
    2. Manteuffel TA, McCormick SF, Röhrle O. Projection multilevel methods for quasilinear elliptic partial differential equations: Theoretical results. SIAM journal on numerical analysis. 2006;44(1):139--152.
    3. Manteuffel TA, McCormick SF, Röhrle O, Ruge J. Projection multilevel methods for quasilinear elliptic partial differential equations: numerical results. SIAM journal on numerical analysis. 2006;44(1):120--138.
    4. Kim SD, Lee C-O, Manteuffel TA, McCormick SF, Röhrle O. First-order system least squares for the Oseen equations. Numerical Linear Algebra with Applications. 2006;13(7):523--542.

  16. 2004

    1. Rohrle O. Multilevel first-order system least squares for quasilinear elliptic partial differential equations. University of Colorado at Boulder; 2004.

  17. 2003

    1. Schmitt S. Biomechanische Modellierung und Simulation am Beispiel Skisprung. 2003.

        

Book Chapter or Edited Books

  1. Röhrle O. Skeletal Muscle Modelling. Encyclopaedia for Continuum Mechanics Section Biomechanics. 2018;
  2. Asgharzadeh P, Özdemir B, Müller SJ, Röhrle O, Reski R. Analysis of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nano-scale. In: Biomimetic Research for Architecture and Building Construction. Springer, Cham; 2016. p. 261--275. (Biomimetic Research for Architecture and Building Construction).
  3. Betz O, Birkhold A, Caliaro M, Eggs B, Mader A, Knippers J, et al. 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. Springer, Cham; 2016. p. 135--167. (Biomimetic Research for Architecture and Building Construction).
  4. Schmitt S, Lechler A, Röhrle O. Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen: Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen. In Berlin: Springer Vieweg; 2015. p. 178–84.
  5. Röhrle O, Sprenger M, Ramasamy E, Heidlauf T. Multiscale skeletal muscle modeling: from cellular level to a multi-segment skeletal muscle model of the upper limb. In: Computer models in biomechanics. Springer, Dordrecht; 2013. p. 103--116. (Computer models in biomechanics).
  6. Röhrle O, Köstler H, Loch M. Segmentation of skeletal muscle fibres for applications in computational skeletal muscle mechanics. In: Computational Biomechanics for Medicine. Springer, New York, NY; 2011. p. 107--117. (Computational Biomechanics for Medicine).
  7. Ehlers W, Markert B, Röhrle O, editors. Biomechanics. GAMM-Mitteilungen; 2009.

Patents

  1. Kleiner B, Röhrle O, Hülsmann A, Röhrle A. Mobile radar-basierte Umgebungsvermessung unter Anwendung von Sensorfusion mittels Intrarotkamera und Inertialsensorik. 2015.
  2. Röhrle O. Verfahren zur Bestimmung einer Beißkraft. 2014.
  3. Smith NP, Budgett DM, Hunter PJ, Malcolm DTK, Cheng LK-W, Nash MP, et al. Biophysical virtual model database and applications. 2010.
To the top of the page