Publikationen von: Christoph Metzner


2017

Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard and Christoph Metzner, Hagenah, Jannis, et al. "Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction (2017), in: International Conference on Functional Imaging and Modeling of the Heart(461-470)
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Jannis Hagenah, Achim Schweikard and Christoph Metzner, Simplified deformation models for personalization of valve-sparing aortic root reconstruction (2017), in: 10. Jahrestagung der Deutschen Gesellschaft fuer Biomechanik(120)
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2016

Jannis Hagenah, Michael Scharfschwerdt, Alexander Schlaefer and Christoph Metzner, A machine learning approach for planning valve-sparing aortic root reconstruction (2016), in: Current Directions in Biomedical Engineering, Vol. 1(p. 361-365)
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Christoph Metzner, Achim Schweikard and B. Zurowski, Multifactorial Modeling of Impairment of Evoked Gamma Range Oscillations in Schizophrenia (2016), in: Frontiers
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Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard and Christoph Metzner, Prediction of individual aortic root prosthesis size: Deformation modeling as an alternative to direct estimation (2016), in: Dreiländertagung BMT 2016
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Jannis Hagenah, Erik Werrmann, Michael Scharfschwerdt, Floris Ernst and Christoph Metzner, Prediction of Individual Prosthesis Size for Valve-Sparing Aortic Root Reconstruction Based on Geometric Features, in: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '16), EMBS, Orlando, FL, USA, pages 3273-3276, IEEE, 2016
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2015

Jannis Hagenah, Michael Scharfschwerdt, Alexander Schlaefer and Christoph Metzner, A machine learning approach for planning valve-sparing aortic root reconstruction (2015), in: Current Directions on Biomedical Engineering, 1(361-365)
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2014

Jannis Hagenah, Michael Scharfschwerdt, Christoph Metzner, Alexander Schlaefer, HH Sievers and Achim Schweikard, An approach for patient specific modeling of the aortic valve leaflets, in: BioMedTec Studierendentagung, 2014
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Jannis Hagenah, Michael Scharfschwerdt, Christoph Metzner, Alexander Schlaefer, HH Sievers and Achim Schweikard, An approach for patient specific modeling of the aortic valve leaflets, GRIN Verlag, 2014
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Christoph Metzner, Coding in the olfactory system: linking realistic and abstract models, in: Flavour, pages P10, 2014
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2013

Christoph Metzner, Achim Schweikard and B. Zurowski, Center-Surround Interactions in a Network Model of Layer 4Cα of Primary Visual Cortex, in: BMC Neuroscience, 2013
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B. Zurowski, F. Hamm, Christoph Metzner, H. Scholand-Engler, A. Wells and F. Hohagen, Cortical levels of GABA in patients with panic disorder are associated with the strength of metacognitive beliefs, in: Proceedings of 2nd International Conference of Metacognitive Therapy, 2013
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2012

Christoph Metzner, Fabian Guth, Achim Schweikard and B. Zurowski, Spike-timing Dependent Plasticity Facilitates Excitatory/Inhibitory Disbalances in Early Phases of Tinnitus Manifestation, in: BMC Neuroscience, 2012
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2011

Christoph Metzner, M. Menzinger, Achim Schweikard and B. Zurowski, Early Signs of Tinnitus in a Simulation of the Mammalian Primary Auditory Cortex, in: BMC Neuroscience, pages P383, 2011
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Christoph Metzner, Achim Schweikard and B. Zurowski, Neurochemical Mechanisms of Perceptual Deficits in Schizophrenic Patients – A Spiking Neural Network Approach, in: Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, 2011
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Christoph Metzner, Achim Schweikard and B. Zurowski, Towards Realistic Receptive Field Properties in a Biologically Inspired Spiking Network Model of the Mammalian Primary Visual Cortex, in: Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, 2011
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2010

Christoph Metzner, Achim Schweikard and B. Zurowski, Context Integration in Visual Processing: A Computational Model of Center-Surround Suppression in the Visual System, in: BMC Neuroscience, pages P100, 2010
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