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ORCIDUrsula van Rienen
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- affiliation: University of Rostock, Electrical Engineering, Germany
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2020 – today
- 2024
[j18]Piotr Putek
, Shahnam Gorgi Zadeh, Ursula van Rienen:
Multi-objective shape optimization of TESLA-like cavities: Addressing stochastic Maxwell's eigenproblem constraints. J. Comput. Phys. 513: 113125 (2024)- [j17]Hendrikje Raben, Peer Wolfgang Kämmerer, Ursula van Rienen:
Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects. IEEE Trans. Biomed. Eng. 71(10): 3055-3068 (2024) - 2023
- [j16]Clemens Neudorfer, Konstantin Butenko, Simon Oxenford, Nanditha Rajamani, Johannes Achtzehn, Lukas Goede, Barbara Hollunder, Ana Sofía Ríos, Lauren Hart, Jordy Tasserie, Kavisha B. Fernando, Thuy Anh Khoa Nguyen, Bassam Al-Fatly, Matteo Vissani, Michael D. Fox, Robert Mark Richardson, Ursula van Rienen, Andrea A. Kühn, Andreas Dominik Husch, Enrico Opri, Till Anselm Dembek, Ningfei Li, Andreas Horn:
Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks. NeuroImage 268: 119862 (2023) - [d1]Meike Bielfeldt, Kai Budde-Sagert, Nikolai Weis, Maren Bünning, Susanne Staehlke, Julius Zimmermann, Nils Arbeiter, Sahba Mobini, María Ujué González, Henrike Rebl, Adelinde M. Uhrmacher, Ursula van Rienen, J. Barbara Nebe:
Data_Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts. Zenodo, 2023
- 2022
- [j15]Andreas Ruscheinski, Pia Wilsdorf, Julius Zimmermann, Ursula van Rienen, Adelinde M. Uhrmacher:
An artefact-based workflow for finite element simulation studies. Simul. Model. Pract. Theory 116: 102464 (2022) - 2021
- [j14]Konstantin Butenko, Rüdiger Köhling, Ursula van Rienen:
Numerical Study on Electrode Design for Rodent Deep Brain Stimulation With Implantations Cranial to Targeted Nuclei. Frontiers Comput. Neurosci. 15: 631188 (2021) - [j13]Robert Bestel, Ursula van Rienen, Christiane Thielemann, Revathi Appali:
Influence of Neuronal Morphology on the Shape of Extracellular Recordings With Microelectrode Arrays: A Finite Element Analysis. IEEE Trans. Biomed. Eng. 68(4): 1317-1329 (2021) - 2020
- [j12]Abdul Razzaq Farooqi, Julius Zimmermann, Rainer Bader, Ursula van Rienen:
Computational study on electromechanics of electroactive hydrogels for cartilage-tissue repair. Comput. Methods Programs Biomed. 197: 105739 (2020) - [j11]Konstantin Butenko, Christian Bahls, Max Schröder, Rüdiger Köhling, Ursula van Rienen:
OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling. PLoS Comput. Biol. 16(7) (2020) - [i5]Andreas Ruscheinski, Pia Wilsdorf, Julius Zimmermann, Ursula van Rienen, Adelinde M. Uhrmacher:
An Artifact-based Workflow for Finite-Element Simulation Studies. CoRR abs/2010.07625 (2020)
2010 – 2019
- 2019
- [c17]Kai Budde, Julius Zimmermann, Elisa Neuhaus, Max Schröder, Adelinde M. Uhrmacher, Ursula van Rienen:
Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling. EMBC 2019: 1082-1088 - [c16]Konstantin Butenko, Christian Bahls, Ursula van Rienen:
Evaluation of Epistemic Uncertainties for Bipolar Deep Brain Stimulation in Rodent Models. EMBC 2019: 2136-2140 - [c15]Max Schröder, Hendrikje Raben, Frank Krüger, Andreas Ruscheinski, Ursula van Rienen, Adelinde M. Uhrmacher, Sascha Spors:
PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems. EMBC 2019: 3377-3382 - [c14]Revathi Appali, Kiran K. Sriperumbudur, Ursula van Rienen:
Extracellular Stimulation of Neural Tissues: Activating Function and Sub-threshold Potential Perspective. EMBC 2019: 6273-6277 - [c13]Yogesh Deepak Bansod, Ursula van Rienen:
Numerical Analysis of Electromechanically Driven Bone Remodeling Using the Open-source Software Framework. EMBC 2019: 6466-6471 - [c12]Alina Weizel, Julius Zimmermann, Alexander Riess, Simone Krüger, Rainer Bader, Ursula van Rienen, Hermann Seitz:
Numerical simulation of the electric field distribution in an electrical stimulation device for scaffolds settled with cartilaginous cells. EMBC 2019: 6481-6484 - [c11]Pia Wilsdorf, Marcus Dombrowsky, Adelinde M. Uhrmacher, Julius Zimmermann, Ursula van Rienen:
Simulation Experiment Schemas -Beyond Tools and Simulation Approaches. WSC 2019: 2783-2794 - [i4]Jacopo Corno, Niklas Georg, Shahnam Gorgi Zadeh, Johann Heller, Vladimir Gubarev, Toon Roggen, Ulrich Römer, Christian Schmidt, Sebastian Schöps, Alexey Sulimov, Ursula van Rienen:
Uncertainty Modeling and Analysis of the European XFEL Cavities Manufacturing Process. CoRR abs/1906.09151 (2019) - 2018
- [j10]Shahnam Gorgizadeh, Thomas Flisgen, Ursula van Rienen:
Eigenmode computation of cavities with perturbed geometry using matrix perturbation methods applied on generalized eigenvalue problems. J. Comput. Phys. 364: 347-364 (2018) - [j9]Franziska Reimann, Peter Michel, Ulf Lehnert, Ursula van Rienen:
Rayleigh-Ritz based expansion method for wakefields in dielectrically lined rectangular waveguides. J. Comput. Phys. 372: 299-315 (2018) - [j8]Kiran K. Sriperumbudur, Hans Wilhelm Pau, Ursula van Rienen:
Effect of Tissue Heterogeneity on the Transmembrane Potential of Type-1 Spiral Ganglion Neurons: A Simulation Study. IEEE Trans. Biomed. Eng. 65(3): 658-668 (2018) - [j7]Christian Schmidt, Ursula van Rienen:
Adaptive Estimation of the Neural Activation Extent in Computational Volume Conductor Models of Deep Brain Stimulation. IEEE Trans. Biomed. Eng. 65(8): 1828-1839 (2018) - 2017
- [j6]Robert Bestel, Revathi Appali, Ursula van Rienen, Christiane Thielemann:
Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations. Neural Comput. 29(11) (2017) - [i3]Christian Schmidt, Ursula van Rienen:
Adaptive Estimation of the Neural Activation Extent during Deep Brain Stimulation. CoRR abs/1705.10478 (2017) - [i2]Christian Schmidt, Eleanor Dunn, Madeleine M. Lowery, Ursula van Rienen:
Uncertainty Quantification of Oscillation Suppression during DBS in a Coupled Finite Element and Network Model. CoRR abs/1705.10496 (2017) - 2016
- [j5]Dawei Zheng, Gisela Pöplau, Ursula van Rienen:
Efficiency optimization of a fast Poisson solver in beam dynamics simulation. Comput. Phys. Commun. 198: 82-96 (2016) - [c10]Andrea Bohme, Ursula van Rienen:
A comparative study of approaches to compute the field distribution of deep brain stimulation in the Hemiparkinson rat model. EMBC 2016: 5821-5824 - [c9]Duy T. Truong, Christian Bahls, J. Barbara Nebe, Ursula van Rienen:
An implementation for the simulation of cells on micro-post arrays. EMBC 2016: 6138-6141 - [i1]Ulrich Römer, Christian Schmidt, Ursula van Rienen, Sebastian Schöps:
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological Tissues. CoRR abs/1611.07403 (2016) - 2015
- [j4]Christian Schmidt, Ulf Zimmermann, Ursula van Rienen:
Modeling of an Optimized Electrostimulative Hip Revision System Under Consideration of Uncertainty in the Conductivity of Bone Tissue. IEEE J. Biomed. Health Informatics 19(4): 1321-1330 (2015) - [c8]Bachir Delenda, Rainer Bader, Ursula van Rienen:
Modeling and simulation of platelet reaction and diffusion towards an electro-stimulating dental implant. EMBC 2015: 2584-2587 - [c7]Ulf Zimmermann, Ursula van Rienen:
The impact of bone microstructure on the field distribution of electrostimulative implants. EMBC 2015: 3545-3548 - [c6]Revathi Appali, Kiran K. Sriperumbudur, Ursula van Rienen:
3D axonal network coupled to Microelectrode Arrays: A simulation model to study neuronal dynamics. EMBC 2015: 4700-4704 - [c5]Christian Schmidt, Eleanor Dunn, Madeleine M. Lowery, Ursula van Rienen:
Simulating the therapeutic effects of deep brain stimulation in rodents using a cortico-basal ganglia network and volume conductor model. NER 2015: 852-855 - 2014
- [c4]Christian Schmidt, Ulf Zimmermann, Ursula van Rienen:
Uncertainty quantification of the optimal stimulation area in an electro-stimulative hip revision system. EMBC 2014: 824-827 - 2013
- [j3]Christian Schmidt, Peadar F. Grant, Madeleine M. Lowery, Ursula van Rienen:
Influence of Uncertainties in the Material Properties of Brain Tissue on the Probabilistic Volume of Tissue Activated. IEEE Trans. Biomed. Eng. 60(5): 1378-1387 (2013) - [c3]Christian Schmidt, Ursula van Rienen:
Single Frequency Approximation of Volume Conductor Models for Deep Brain Stimulation using Equivalent Circuits. BIOSIGNALS 2013: 38-47 - 2012
- [j2]Christian Schmidt, Ursula van Rienen:
Modeling the Field Distribution in Deep Brain Stimulation: The Influence of Anisotropy of Brain Tissue. IEEE Trans. Biomed. Eng. 59(6): 1583-1592 (2012) - [c2]Ulf Zimmermann, Ursula van Rienen:
Identification of widely applicable configurations for the electrostimulative total hip revision system. EMBC 2012: 3048-3051 - [c1]Christian Schmidt, Ursula van Rienen:
Quantification of uncertainties in brain tissue conductivity in a heterogeneous model of deep brain stimulation using a non-intrusive projection approach. EMBC 2012: 4136-4139 - 2010
- [j1]Carsten Potratz, Daniel Kluess, Hartmut Ewald, Ursula van Rienen:
Multiobjective Optimization of an Electrostimulative Acetabular Revision System. IEEE Trans. Biomed. Eng. 57(2): 460-468 (2010)
2000 – 2009
- 2001
- [b1]Ursula van Rienen:
Numerical Methods in Computational Electrodynamics - Linear Systems in Practical Applications. Lecture Notes in Computational Science and Engineering 12, Springer 2001, ISBN 978-3-540-67629-4, pp. I-XIII, 1-379
Coauthor Index
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