Christian Schmidt

Orcid: 0000-0002-3777-5243

Affiliations:
  • University of Rostock, Institute of General Electrical Engineering, Germany


According to our database1, Christian Schmidt authored at least 12 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Uncertainty Modeling and Analysis of the European XFEL Cavities Manufacturing Process.
CoRR, 2019

2018
Adaptive Estimation of the Neural Activation Extent in Computational Volume Conductor Models of Deep Brain Stimulation.
IEEE Trans. Biomed. Eng., 2018

2017
Adaptive Estimation of the Neural Activation Extent during Deep Brain Stimulation.
CoRR, 2017

Uncertainty Quantification of Oscillation Suppression during DBS in a Coupled Finite Element and Network Model.
CoRR, 2017

2016
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological Tissues.
CoRR, 2016

2015
Modeling of an Optimized Electrostimulative Hip Revision System Under Consideration of Uncertainty in the Conductivity of Bone Tissue.
IEEE J. Biomed. Health Informatics, 2015

Simulating the therapeutic effects of deep brain stimulation in rodents using a cortico-basal ganglia network and volume conductor model.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2014
Uncertainty quantification of the optimal stimulation area in an electro-stimulative hip revision system.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Influence of Uncertainties in the Material Properties of Brain Tissue on the Probabilistic Volume of Tissue Activated.
IEEE Trans. Biomed. Eng., 2013

Single Frequency Approximation of Volume Conductor Models for Deep Brain Stimulation using Equivalent Circuits.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Modeling the Field Distribution in Deep Brain Stimulation: The Influence of Anisotropy of Brain Tissue.
IEEE Trans. Biomed. Eng., 2012

Quantification of uncertainties in brain tissue conductivity in a heterogeneous model of deep brain stimulation using a non-intrusive projection approach.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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